From 78cc678a60c83dfa5838a7b1bc62808f7d248304 Mon Sep 17 00:00:00 2001 From: icpp Date: Mon, 25 Sep 2023 18:49:09 -0400 Subject: [PATCH] Initial backend for ICGPT Labs --- .clang-format | 137 +++ .github/trigger.txt | 2 + .github/workflows/cicd.yml | 77 ++ .gitignore | 151 +++ .mypy.ini | 13 + .pylintrc | 585 ++++++++++ Makefile | 171 +++ README.md | 36 + __init__.py | 0 assets/icpp-llm-logo.png | Bin 0 -> 166154 bytes assets/icpp_llama2_without_limits.png | Bin 0 -> 219356 bytes icpp_llama2/README.md | 84 ++ ...EADME_icpp_llama2_resource_requirements.md | 71 ++ icpp_llama2/canister_ids.json | 5 + icpp_llama2/demo.ps1 | 126 ++ icpp_llama2/demo.sh | 104 ++ icpp_llama2/demo1-ic.sh | 25 + icpp_llama2/demo1.sh | 25 + icpp_llama2/demo2-ic.sh | 29 + icpp_llama2/demo2.sh | 29 + icpp_llama2/dfx.json | 16 + icpp_llama2/icpp.toml | 18 + icpp_llama2/native/main.cpp | 642 +++++++++++ icpp_llama2/native/main.h | 2 + icpp_llama2/requirements.txt | 3 + icpp_llama2/scripts/__init__.py | 0 icpp_llama2/scripts/ic_py_canister.py | 98 ++ icpp_llama2/scripts/icpp_llama2_sizer.py | 266 +++++ icpp_llama2/scripts/parse_args.py | 68 ++ icpp_llama2/scripts/requirements.txt | 19 + icpp_llama2/scripts/upload.py | 231 ++++ icpp_llama2/src/canister.cpp | 79 ++ icpp_llama2/src/canister.h | 14 + icpp_llama2/src/chats.cpp | 147 +++ icpp_llama2/src/chats.h | 51 + icpp_llama2/src/http.cpp | 5 + icpp_llama2/src/http.h | 79 ++ icpp_llama2/src/inference.cpp | 235 ++++ icpp_llama2/src/inference.h | 6 + icpp_llama2/src/initialize.cpp | 214 ++++ icpp_llama2/src/initialize.h | 9 + icpp_llama2/src/llama2.did | 56 + icpp_llama2/src/run.c | 1018 +++++++++++++++++ icpp_llama2/src/run.h | 141 +++ icpp_llama2/src/upload.cpp | 159 +++ icpp_llama2/src/upload.h | 27 + icpp_llama2/src/users.cpp | 64 ++ icpp_llama2/src/users.h | 9 + icpp_llama2/test/__init__.py | 0 icpp_llama2/test/conftest.py | 8 + icpp_llama2/test/test_apis.py | 213 ++++ icpp_llama2/tokenizers/__init__.py | 0 icpp_llama2/tokenizers/tokenizer.bin | Bin 0 -> 432717 bytes requirements.txt | 6 + test_all_llms.ps1 | 22 + version_clang.txt | 1 + 56 files changed, 5596 insertions(+) create mode 100644 .clang-format create mode 100644 .github/trigger.txt create mode 100644 .github/workflows/cicd.yml create mode 100644 .gitignore create mode 100644 .mypy.ini create mode 100755 .pylintrc create mode 100644 Makefile create mode 100644 README.md create mode 100644 __init__.py create mode 100644 assets/icpp-llm-logo.png create mode 100644 assets/icpp_llama2_without_limits.png create mode 100644 icpp_llama2/README.md create mode 100644 icpp_llama2/README_icpp_llama2_resource_requirements.md create mode 100644 icpp_llama2/canister_ids.json create mode 100644 icpp_llama2/demo.ps1 create mode 100755 icpp_llama2/demo.sh create mode 100755 icpp_llama2/demo1-ic.sh create mode 100755 icpp_llama2/demo1.sh create mode 100755 icpp_llama2/demo2-ic.sh create mode 100755 icpp_llama2/demo2.sh create mode 100644 icpp_llama2/dfx.json create mode 100644 icpp_llama2/icpp.toml create mode 100644 icpp_llama2/native/main.cpp create mode 100644 icpp_llama2/native/main.h create mode 100644 icpp_llama2/requirements.txt create mode 100644 icpp_llama2/scripts/__init__.py create mode 100644 icpp_llama2/scripts/ic_py_canister.py create mode 100644 icpp_llama2/scripts/icpp_llama2_sizer.py create mode 100644 icpp_llama2/scripts/parse_args.py create mode 100644 icpp_llama2/scripts/requirements.txt create mode 100644 icpp_llama2/scripts/upload.py create mode 100644 icpp_llama2/src/canister.cpp create mode 100644 icpp_llama2/src/canister.h create mode 100644 icpp_llama2/src/chats.cpp create mode 100644 icpp_llama2/src/chats.h create mode 100644 icpp_llama2/src/http.cpp create mode 100644 icpp_llama2/src/http.h create mode 100644 icpp_llama2/src/inference.cpp create mode 100644 icpp_llama2/src/inference.h create mode 100644 icpp_llama2/src/initialize.cpp create mode 100644 icpp_llama2/src/initialize.h create mode 100644 icpp_llama2/src/llama2.did create mode 100644 icpp_llama2/src/run.c create mode 100644 icpp_llama2/src/run.h create mode 100644 icpp_llama2/src/upload.cpp create mode 100644 icpp_llama2/src/upload.h create mode 100644 icpp_llama2/src/users.cpp create mode 100644 icpp_llama2/src/users.h create mode 100644 icpp_llama2/test/__init__.py create mode 100644 icpp_llama2/test/conftest.py create mode 100644 icpp_llama2/test/test_apis.py create mode 100644 icpp_llama2/tokenizers/__init__.py create mode 100644 icpp_llama2/tokenizers/tokenizer.bin create mode 100644 requirements.txt create mode 100644 test_all_llms.ps1 create mode 100644 version_clang.txt diff --git a/.clang-format b/.clang-format new file mode 100644 index 0000000..92170f8 --- /dev/null +++ b/.clang-format @@ -0,0 +1,137 @@ +--- +Language: Cpp +# BasedOnStyle: LLVM +AccessModifierOffset: -2 +AlignAfterOpenBracket: Align +AlignConsecutiveMacros: false +AlignConsecutiveAssignments: false +AlignConsecutiveDeclarations: false +AlignEscapedNewlines: Right +AlignOperands: true +AlignTrailingComments: true +AllowAllArgumentsOnNextLine: true +AllowAllConstructorInitializersOnNextLine: true +AllowAllParametersOfDeclarationOnNextLine: true +AllowShortBlocksOnASingleLine: Never +AllowShortCaseLabelsOnASingleLine: false +AllowShortFunctionsOnASingleLine: All +AllowShortLambdasOnASingleLine: All +AllowShortIfStatementsOnASingleLine: AllIfsAndElse +AllowShortLoopsOnASingleLine: false +AlwaysBreakAfterDefinitionReturnType: None +AlwaysBreakAfterReturnType: None +AlwaysBreakBeforeMultilineStrings: false +AlwaysBreakTemplateDeclarations: MultiLine +BinPackArguments: true +BinPackParameters: true +BraceWrapping: + AfterCaseLabel: false + AfterClass: false + AfterControlStatement: false + AfterEnum: false + AfterFunction: false + AfterNamespace: false + AfterObjCDeclaration: false + AfterStruct: false + AfterUnion: false + AfterExternBlock: false + BeforeCatch: false + BeforeElse: false + IndentBraces: false + SplitEmptyFunction: true + SplitEmptyRecord: true + SplitEmptyNamespace: true +BreakBeforeBinaryOperators: None +BreakBeforeBraces: Attach +BreakBeforeInheritanceComma: false +BreakInheritanceList: BeforeColon +BreakBeforeTernaryOperators: true +BreakConstructorInitializersBeforeComma: false +BreakConstructorInitializers: BeforeColon +BreakAfterJavaFieldAnnotations: false +BreakStringLiterals: false +ColumnLimit: 80 +CommentPragmas: '^ IWYU pragma:' +CompactNamespaces: false +ConstructorInitializerAllOnOneLineOrOnePerLine: false +ConstructorInitializerIndentWidth: 4 +ContinuationIndentWidth: 4 +Cpp11BracedListStyle: true +DeriveLineEnding: true +DerivePointerAlignment: false +DisableFormat: false +ExperimentalAutoDetectBinPacking: false +FixNamespaceComments: true +ForEachMacros: + - foreach + - Q_FOREACH + - BOOST_FOREACH +IncludeBlocks: Preserve +IncludeCategories: + - Regex: '^"(llvm|llvm-c|clang|clang-c)/' + Priority: 2 + SortPriority: 0 + - Regex: '^(<|"(gtest|gmock|isl|json)/)' + Priority: 3 + SortPriority: 0 + - Regex: '.*' + Priority: 1 + SortPriority: 0 +IncludeIsMainRegex: '(Test)?$' +IncludeIsMainSourceRegex: '' +IndentCaseLabels: false +IndentGotoLabels: true +IndentPPDirectives: None +IndentWidth: 2 +IndentWrappedFunctionNames: false +JavaScriptQuotes: Leave +JavaScriptWrapImports: true +KeepEmptyLinesAtTheStartOfBlocks: true +MacroBlockBegin: '' +MacroBlockEnd: '' +MaxEmptyLinesToKeep: 1 +NamespaceIndentation: None +ObjCBinPackProtocolList: Auto +ObjCBlockIndentWidth: 2 +ObjCSpaceAfterProperty: false +ObjCSpaceBeforeProtocolList: true +PenaltyBreakAssignment: 2 +PenaltyBreakBeforeFirstCallParameter: 19 +PenaltyBreakComment: 300 +PenaltyBreakFirstLessLess: 120 +PenaltyBreakString: 1000 +PenaltyBreakTemplateDeclaration: 10 +PenaltyExcessCharacter: 1000000 +PenaltyReturnTypeOnItsOwnLine: 60 +PointerAlignment: Right +ReflowComments: false +SortIncludes: true +SortUsingDeclarations: true +SpaceAfterCStyleCast: false +SpaceAfterLogicalNot: false +SpaceAfterTemplateKeyword: true +SpaceBeforeAssignmentOperators: true +SpaceBeforeCpp11BracedList: false +SpaceBeforeCtorInitializerColon: true +SpaceBeforeInheritanceColon: true +SpaceBeforeParens: ControlStatements +SpaceBeforeRangeBasedForLoopColon: true +SpaceInEmptyBlock: false +SpaceInEmptyParentheses: false +SpacesBeforeTrailingComments: 1 +SpacesInAngles: false +SpacesInConditionalStatement: false +SpacesInContainerLiterals: true +SpacesInCStyleCastParentheses: false +SpacesInParentheses: false +SpacesInSquareBrackets: false +SpaceBeforeSquareBrackets: false +Standard: Latest +StatementMacros: + - Q_UNUSED + - QT_REQUIRE_VERSION +TabWidth: 2 +UseCRLF: false +UseTab: Never +--- + diff --git a/.github/trigger.txt b/.github/trigger.txt new file mode 100644 index 0000000..3b91f12 --- /dev/null +++ b/.github/trigger.txt @@ -0,0 +1,2 @@ +# A dummy file to trigger the workflow without making any actual change. +# Just change something arbitrary in this line, like a space . \ No newline at end of file diff --git a/.github/workflows/cicd.yml b/.github/workflows/cicd.yml new file mode 100644 index 0000000..16d4409 --- /dev/null +++ b/.github/workflows/cicd.yml @@ -0,0 +1,77 @@ +name: cicd + +on: + workflow_dispatch: + push: + paths: + - "icpp_llama2/**" + - "Makefile" + - ".github/trigger.txt" + - ".github/workflows/cicd.yml" + +env: + PYTHON_VERSION: 3.11 + +jobs: + all: + name: all + runs-on: ubuntu-latest + steps: + # https://github.com/marketplace/actions/setup-miniconda + - uses: conda-incubator/setup-miniconda@v2 + with: + python-version: ${{ env.PYTHON_VERSION }} + + # ------------------------------------------------------------------- + # Checkout icpp-llm + - name: checkout icpp-llm + uses: actions/checkout@v3 + with: + fetch-depth: 0 + # ------------------------------------------------------------------- + + - name: install + shell: bash -l {0} # activates the default conda environment ('test') + run: | + echo "Installing tool chains & dependencies" + pwd + sudo apt-get update + sudo apt-get install build-essential + make summary + make install-dfx + make install-python + make install-clang-ubuntu + make install-jp + + - name: versions + shell: bash -l {0} + run: | + echo "icpp --version: $(icpp --version)" + echo "clang++ --version: $(clang++ --version)" + echo "g++ --version: $(g++ --version)" + echo "pip version : $(pip --version)" + echo "python version : $(python --version)" + echo "jp version : $(jp --version)" + echo "dfx version : $(dfx --version)" + echo "Ensure conda works properly" + conda info + which pip + which python + which icpp + + - name: install-wasi-sdk + shell: bash -l {0} + run: | + echo "Installing wasi-sdk" + icpp install-wasi-sdk + + - name: download models + shell: bash -l {0} + run: | + make icpp_llama2_get_stories15M + make icpp_llama2_get_stories260K + + - name: all-tests + shell: bash -l {0} + run: | + make all-tests diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..ec63472 --- /dev/null +++ b/.gitignore @@ -0,0 +1,151 @@ +# Misc +x +y +z +paths.txt +.*.swp +.DS_Store +secret + +# llama2 models +models +stories260K + +# llama2 metrics +etl + +# Windows +.vs +CppProperties.json + +# Internet Computer +.dfx + +# Javascript bindings +declarations + +# C++ +null.d +*.observed +*.observed.filtered +*.wasm +*.wat +a.out +*.exe +build-native-unit/ +build-native/ + +# PyPI packaging +.pypirc + +# Wing IDE +*.wpr +*.wpu + +# VS Code +.vscode + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ diff --git a/.mypy.ini b/.mypy.ini new file mode 100644 index 0000000..9f2e60d --- /dev/null +++ b/.mypy.ini @@ -0,0 +1,13 @@ +# https://mypy.readthedocs.io/en/latest/config_file.html#config-file +# (-) python -m mypy --config-file FILENAME ... + +# Global options: +[mypy] +disallow_untyped_calls = True +disallow_untyped_defs = True +disallow_incomplete_defs = True +check_untyped_defs = True +disallow_untyped_decorators = True +show_error_codes = True +warn_redundant_casts = True +warn_unused_ignores = True \ No newline at end of file diff --git a/.pylintrc b/.pylintrc new file mode 100755 index 0000000..7da9488 --- /dev/null +++ b/.pylintrc @@ -0,0 +1,585 @@ +[MASTER] + +#ICPP: https://docs.pylint.org/en/1.6.0/run.html#command-line-options +#ICPP: (-) python -m pylint --rc-file=FILENAME ... + +#ICPP: To avoid conflicts with black: +#ICPP: (-) https://black.readthedocs.io/en/stable/compatible_configs.html#pylint +#ICPP: bad-continuation (C0330), bad-whitespace (C0326) + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code. +extension-pkg-whitelist=PyQt5, PySide6, pydantic + +# Add files or directories to the blacklist. They should be base names, not +# paths. +ignore=CVS + +# Add files or directories matching the regex patterns to the blacklist. The +# regex matches against base names, not paths. +ignore-patterns= + +# Python code to execute, usually for sys.path manipulation such as +# pygtk.require(). +#ICPP: ################################################################################################################ +#ICPP: (-) Increase recursion limit (https://stackoverflow.com/a/45746975/5480536) +#ICPP: +#ICPP: (-) A print statement to help users verify that pylint is using correct python environment. +#ICPP: Especially when you run from anaconda environments or virtual environments, you might get these type of errors: +#ICPP: E0401: Unable to import 'keras' (import-error) +#ICPP: If you do, run pylint as a module, not as a script, with: +#ICPP: $ python -m pylint ....... +#ICPP: ################################################################################################################ +#init-hook= +init-hook='import os, sys, site; sys.setrecursionlimit(8 * sys.getrecursionlimit())' +#init-hook='import os, sys, site; sys.setrecursionlimit(8 * sys.getrecursionlimit()); print(f"---------------------\nAs detected by init-hook in .pylintrc\n\npylint is using this python environment:\n\n-sys.path:{sys.path}\n\n-site packages:{site.getsitepackages()}\n\nSee project README for details how to fix if this is incorrect.\n---------------------")' + + +# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the +# number of processors available to use. +jobs=1 + +# Control the amount of potential inferred values when inferring a single +# object. This can help the performance when dealing with large functions or +# complex, nested conditions. +limit-inference-results=100 + +# List of plugins (as comma separated values of python modules names) to load, +# usually to register additional checkers. +load-plugins= + +# Pickle collected data for later comparisons. +persistent=yes + +# Specify a configuration file. +#rcfile= + +# When enabled, pylint would attempt to guess common misconfiguration and emit +# user-friendly hints instead of false-positive error messages. +suggestion-mode=yes + +# Allow loading of arbitrary C extensions. Extensions are imported into the +# active Python interpreter and may run arbitrary code. +unsafe-load-any-extension=no + + +[MESSAGES CONTROL] + +# Only show warnings with the listed confidence levels. Leave empty to show +# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED. +confidence= + +# Disable the message, report, category or checker with the given id(s). You +# can either give multiple identifiers separated by comma (,) or put this +# option multiple times (only on the command line, not in the configuration +# file where it should appear only once). You can also use "--disable=all" to +# disable everything first and then reenable specific checks. For example, if +# you want to run only the similarities checker, you can use "--disable=all +# --enable=similarities". If you want to run only the classes checker, but have +# no Warning level messages displayed, use "--disable=all --enable=classes +# --disable=W". +disable=print-statement, + parameter-unpacking, + unpacking-in-except, + old-raise-syntax, + backtick, + long-suffix, + old-ne-operator, + old-octal-literal, + import-star-module-level, + non-ascii-bytes-literal, + raw-checker-failed, + bad-inline-option, + locally-disabled, + locally-enabled, + file-ignored, + suppressed-message, + useless-suppression, + deprecated-pragma, + use-symbolic-message-instead, + apply-builtin, + basestring-builtin, + buffer-builtin, + cmp-builtin, + coerce-builtin, + execfile-builtin, + file-builtin, + long-builtin, + raw_input-builtin, + reduce-builtin, + standarderror-builtin, + unicode-builtin, + xrange-builtin, + coerce-method, + delslice-method, + getslice-method, + setslice-method, + no-absolute-import, + old-division, + dict-iter-method, + dict-view-method, + next-method-called, + metaclass-assignment, + indexing-exception, + raising-string, + reload-builtin, + oct-method, + hex-method, + nonzero-method, + cmp-method, + input-builtin, + round-builtin, + intern-builtin, + unichr-builtin, + map-builtin-not-iterating, + zip-builtin-not-iterating, + range-builtin-not-iterating, + filter-builtin-not-iterating, + using-cmp-argument, + eq-without-hash, + div-method, + idiv-method, + rdiv-method, + exception-message-attribute, + invalid-str-codec, + sys-max-int, + bad-python3-import, + deprecated-string-function, + deprecated-str-translate-call, + deprecated-itertools-function, + deprecated-types-field, + next-method-defined, + dict-items-not-iterating, + dict-keys-not-iterating, + dict-values-not-iterating, + deprecated-operator-function, + deprecated-urllib-function, + xreadlines-attribute, + deprecated-sys-function, + exception-escape, + comprehension-escape, + bare-except, too-many-arguments, too-many-instance-attributes, + too-many-branches, too-many-locals, + bad-continuation, bad-whitespace, + logging-fstring-interpolation, + duplicate-code, fixme +#ICPP: I started adding with 'bare-except' + +# Enable the message, report, category or checker with the given id(s). You can +# either give multiple identifier separated by comma (,) or put this option +# multiple time (only on the command line, not in the configuration file where +# it should appear only once). See also the "--disable" option for examples. +enable=c-extension-no-member + + +[REPORTS] + +# Python expression which should return a note less than 10 (10 is the highest +# note). You have access to the variables errors warning, statement which +# respectively contain the number of errors / warnings messages and the total +# number of statements analyzed. This is used by the global evaluation report +# (RP0004). +evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) + +# Template used to display messages. This is a python new-style format string +# used to format the message information. See doc for all details. +#msg-template= + +# Set the output format. Available formats are text, parseable, colorized, json +# and msvs (visual studio). You can also give a reporter class, e.g. +# mypackage.mymodule.MyReporterClass. +output-format=text + +# Tells whether to display a full report or only the messages. +reports=no + +# Activate the evaluation score. +score=yes + + +[REFACTORING] + +# Maximum number of nested blocks for function / method body +max-nested-blocks=5 + +# Complete name of functions that never returns. When checking for +# inconsistent-return-statements if a never returning function is called then +# it will be considered as an explicit return statement and no message will be +# printed. +never-returning-functions=sys.exit + + +[BASIC] + +# Naming style matching correct argument names. +argument-naming-style=snake_case + +# Regular expression matching correct argument names. Overrides argument- +# naming-style. +#argument-rgx= + +# Naming style matching correct attribute names. +attr-naming-style=snake_case + +# Regular expression matching correct attribute names. Overrides attr-naming- +# style. +#attr-rgx= + +# Bad variable names which should always be refused, separated by a comma. +bad-names=foo, + bar, + baz, + toto, + tutu, + tata + +# Naming style matching correct class attribute names. +class-attribute-naming-style=any + +# Regular expression matching correct class attribute names. Overrides class- +# attribute-naming-style. +#class-attribute-rgx= + +# Naming style matching correct class names. +class-naming-style=PascalCase + +# Regular expression matching correct class names. Overrides class-naming- +# style. +#class-rgx= + +# Naming style matching correct constant names. +const-naming-style=UPPER_CASE + +# Regular expression matching correct constant names. Overrides const-naming- +# style. +#const-rgx= + +# Minimum line length for functions/classes that require docstrings, shorter +# ones are exempt. +docstring-min-length=-1 + +# Naming style matching correct function names. +function-naming-style=snake_case + +# Regular expression matching correct function names. Overrides function- +# naming-style. +#function-rgx= + +# Good variable names which should always be accepted, separated by a comma. +good-names=a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z, + A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, Z, + ex, + Run, + _, + df, s3, pp, ax, sc, spark, w3, tx, to +#ICPP: + +# Include a hint for the correct naming format with invalid-name. +include-naming-hint=no + +# Naming style matching correct inline iteration names. +inlinevar-naming-style=any + +# Regular expression matching correct inline iteration names. Overrides +# inlinevar-naming-style. +#inlinevar-rgx= + +# Naming style matching correct method names. +method-naming-style=snake_case + +# Regular expression matching correct method names. Overrides method-naming- +# style. +#method-rgx= + +# Naming style matching correct module names. +module-naming-style=snake_case + +# Regular expression matching correct module names. Overrides module-naming- +# style. +#module-rgx= + +# Colon-delimited sets of names that determine each other's naming style when +# the name regexes allow several styles. +name-group= + +# Regular expression which should only match function or class names that do +# not require a docstring. +no-docstring-rgx=^_ + +# List of decorators that produce properties, such as abc.abstractproperty. Add +# to this list to register other decorators that produce valid properties. +# These decorators are taken in consideration only for invalid-name. +property-classes=abc.abstractproperty + +# Naming style matching correct variable names. +variable-naming-style=snake_case + +# Regular expression matching correct variable names. Overrides variable- +# naming-style. +#variable-rgx= + + +[LOGGING] + +# Logging modules to check that the string format arguments are in logging +# function parameter format. +logging-modules=logging + + +[SPELLING] + +# Limits count of emitted suggestions for spelling mistakes. +max-spelling-suggestions=4 + +# Spelling dictionary name. Available dictionaries: none. To make it working +# install python-enchant package.. +spelling-dict= + +# List of comma separated words that should not be checked. +spelling-ignore-words= + +# A path to a file that contains private dictionary; one word per line. +spelling-private-dict-file= + +# Tells whether to store unknown words to indicated private dictionary in +# --spelling-private-dict-file option instead of raising a message. +spelling-store-unknown-words=no + + +[SIMILARITIES] + +# Ignore comments when computing similarities. +ignore-comments=yes + +# Ignore docstrings when computing similarities. +ignore-docstrings=yes + +# Ignore imports when computing similarities. +ignore-imports=no + +# Minimum lines number of a similarity. +min-similarity-lines=4 + + +[TYPECHECK] + +# List of decorators that produce context managers, such as +# contextlib.contextmanager. Add to this list to register other decorators that +# produce valid context managers. +contextmanager-decorators=contextlib.contextmanager + +# List of members which are set dynamically and missed by pylint inference +# system, and so shouldn't trigger E1101 when accessed. Python regular +# expressions are accepted. +generated-members= + +# Tells whether missing members accessed in mixin class should be ignored. A +# mixin class is detected if its name ends with "mixin" (case insensitive). +ignore-mixin-members=yes + +# Tells whether to warn about missing members when the owner of the attribute +# is inferred to be None. +ignore-none=yes + +# This flag controls whether pylint should warn about no-member and similar +# checks whenever an opaque object is returned when inferring. The inference +# can return multiple potential results while evaluating a Python object, but +# some branches might not be evaluated, which results in partial inference. In +# that case, it might be useful to still emit no-member and other checks for +# the rest of the inferred objects. +ignore-on-opaque-inference=yes + +# List of class names for which member attributes should not be checked (useful +# for classes with dynamically set attributes). This supports the use of +# qualified names. +ignored-classes=optparse.Values,thread._local,_thread._local,numpy.random,matplotlib.cm + +# List of module names for which member attributes should not be checked +# (useful for modules/projects where namespaces are manipulated during runtime +# and thus existing member attributes cannot be deduced by static analysis. It +# supports qualified module names, as well as Unix pattern matching. +ignored-modules= + +# Show a hint with possible names when a member name was not found. The aspect +# of finding the hint is based on edit distance. +missing-member-hint=yes + +# The minimum edit distance a name should have in order to be considered a +# similar match for a missing member name. +missing-member-hint-distance=1 + +# The total number of similar names that should be taken in consideration when +# showing a hint for a missing member. +missing-member-max-choices=1 + + +[VARIABLES] + +# List of additional names supposed to be defined in builtins. Remember that +# you should avoid to define new builtins when possible. +additional-builtins= + +# Tells whether unused global variables should be treated as a violation. +allow-global-unused-variables=yes + +# List of strings which can identify a callback function by name. A callback +# name must start or end with one of those strings. +callbacks=cb_, + _cb + +# A regular expression matching the name of dummy variables (i.e. expected to +# not be used). +dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_ + +# Argument names that match this expression will be ignored. Default to name +# with leading underscore. +ignored-argument-names=_.*|^ignored_|^unused_ + +# Tells whether we should check for unused import in __init__ files. +init-import=no + +# List of qualified module names which can have objects that can redefine +# builtins. +redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io + + +[MISCELLANEOUS] + +# List of note tags to take in consideration, separated by a comma. +notes=FIXME, + XXX, + TODO + + +[FORMAT] + +# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. +expected-line-ending-format= + +# Regexp for a line that is allowed to be longer than the limit. +ignore-long-lines=^\s*(# )??$ + +# Number of spaces of indent required inside a hanging or continued line. +indent-after-paren=4 + +# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 +# tab). +indent-string=' ' + +# Maximum number of characters on a single line. +max-line-length=89 + +# Maximum number of lines in a module. +max-module-lines=2000 + +# List of optional constructs for which whitespace checking is disabled. `dict- +# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}. +# `trailing-comma` allows a space between comma and closing bracket: (a, ). +# `empty-line` allows space-only lines. +no-space-check=trailing-comma, + dict-separator + +# Allow the body of a class to be on the same line as the declaration if body +# contains single statement. +single-line-class-stmt=no + +# Allow the body of an if to be on the same line as the test if there is no +# else. +single-line-if-stmt=no + + +[IMPORTS] + +# Allow wildcard imports from modules that define __all__. +allow-wildcard-with-all=no + +# Analyse import fallback blocks. This can be used to support both Python 2 and +# 3 compatible code, which means that the block might have code that exists +# only in one or another interpreter, leading to false positives when analysed. +analyse-fallback-blocks=no + +# Deprecated modules which should not be used, separated by a comma. +deprecated-modules=optparse,tkinter.tix + +# Create a graph of external dependencies in the given file (report RP0402 must +# not be disabled). +ext-import-graph= + +# Create a graph of every (i.e. internal and external) dependencies in the +# given file (report RP0402 must not be disabled). +import-graph= + +# Create a graph of internal dependencies in the given file (report RP0402 must +# not be disabled). +int-import-graph= + +# Force import order to recognize a module as part of the standard +# compatibility libraries. +known-standard-library= + +# Force import order to recognize a module as part of a third party library. +known-third-party=enchant + + +[CLASSES] + +# List of method names used to declare (i.e. assign) instance attributes. +defining-attr-methods=__init__, + __new__, + setUp + +# List of member names, which should be excluded from the protected access +# warning. +exclude-protected=_asdict, + _fields, + _replace, + _source, + _make + +# List of valid names for the first argument in a class method. +valid-classmethod-first-arg=cls + +# List of valid names for the first argument in a metaclass class method. +valid-metaclass-classmethod-first-arg=cls + + +[DESIGN] + +# Maximum number of arguments for function / method. +max-args=5 + +# Maximum number of attributes for a class (see R0902). +max-attributes=7 + +# Maximum number of boolean expressions in an if statement. +max-bool-expr=5 + +# Maximum number of branch for function / method body. +max-branches=12 + +# Maximum number of locals for function / method body. +max-locals=15 + +# Maximum number of parents for a class (see R0901). +max-parents=7 + +# Maximum number of public methods for a class (see R0904). +max-public-methods=20 + +# Maximum number of return / yield for function / method body. +max-returns=6 + +# Maximum number of statements in function / method body. +#max-statements=50 +max-statements=100 + +# Minimum number of public methods for a class (see R0903). +min-public-methods=2 + + +[EXCEPTIONS] + +# Exceptions that will emit a warning when being caught. Defaults to +# "Exception". +overgeneral-exceptions=Exception diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..cb6a926 --- /dev/null +++ b/Makefile @@ -0,0 +1,171 @@ +SHELL := /bin/bash + +# Disable built-in rules and variables +MAKEFLAGS += --no-builtin-rules +MAKEFLAGS += --no-builtin-variables + +NETWORK := local + +########################################################################### +# OS we're running on +ifeq ($(OS),Windows_NT) + detected_OS := Windows +else + detected_OS := $(shell sh -c 'uname 2>/dev/null || echo Unknown') +endif + +ifeq ($(detected_OS),Darwin) # Mac OS X (Intel) + OS += macos + DIDC += didc-macos +endif +ifeq ($(detected_OS),Linux) # Ubuntu + OS += linux + DIDC += didc-linux64 +endif + +ifeq ($(detected_OS),Windows_NT) # Windows (icpp supports it but you cannot run this Makefile) + OS += windows_cannot_run_make +endif +ifeq ($(detected_OS),Unknown) # Unknown + OS += unknown +endif + +########################################################################### +# latest release of didc +VERSION_DIDC := $(shell curl --silent "https://api.github.com/repos/dfinity/candid/releases/latest" | grep -e '"tag_name"' | cut -c 16-25) +# version to install for clang +VERSION_CLANG := $(shell cat version_clang.txt) + +########################################################################### +# Use some clang tools that come with wasi-sdk +ICPP_COMPILER_ROOT := $(HOME)/.icpp/wasi-sdk-20.0 +CLANG_FORMAT = $(ICPP_COMPILER_ROOT)/bin/clang-format +CLANG_TIDY = $(ICPP_COMPILER_ROOT)/bin/clang-tidy + + +########################################################################### +# CI/CD - Phony Makefile targets +# +.PHONY: all-tests +all-tests: all-static test-all-llms + +.PHONY: icpp_llama2_get_stories260K +icpp_llama2_get_stories260K: + cd icpp_llama2 && \ + mkdir -p stories260K && \ + wget -P stories260K https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin && \ + wget -P stories260K https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin + +.PHONY: icpp_llama2_get_stories15M +icpp_llama2_get_stories15M: + cd icpp_llama2 && \ + mkdir -p models && \ + wget -P models https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.bin + +.PHONY: summary +summary: + @echo "-------------------------------------------------------------" + @echo OS=$(OS) + @echo VERSION_DIDC=$(VERSION_DIDC) + @echo VERSION_CLANG=$(VERSION_CLANG) + @echo CLANG_FORMAT=$(CLANG_FORMAT) + @echo CLANG_TIDY=$(CLANG_TIDY) + @echo ICPP_COMPILER_ROOT=$(ICPP_COMPILER_ROOT) + @echo "-------------------------------------------------------------" + +.PHONY: test-all-llms +test-all-llms: + dfx identity use default + @echo "#########################################" + @echo "####### testing icpp_llama2 #############" + @echo "#########################################" + cd icpp_llama2 && \ + icpp build-native && \ + ./build-native/mockic.exe && \ + ./demo.sh && \ + pytest && \ + dfx stop + +.PHONY: all-static +all-static: \ + cpp-format cpp-lint \ + python-format python-lint python-type + +CPP_AND_H_FILES = $(shell ls \ +icpp_llama2/src/*.cpp icpp_llama2/src/*.h \ +icpp_llama2/native/*.cpp icpp_llama2/native/*.h) + +.PHONY: cpp-format +cpp-format: + @echo "---" + @echo "cpp-format" + $(CLANG_FORMAT) --style=file --verbose -i $(CPP_AND_H_FILES) + +.PHONY: cpp-lint +cpp-lint: + @echo "---" + @echo "cpp-lint" + @echo "TO IMPLEMENT with clang-tidy" + +PYTHON_DIRS ?= icpp_llama2 + +.PHONY: python-format +python-format: + @echo "---" + @echo "python-format" + python -m black $(PYTHON_DIRS) + +.PHONY: python-lint +python-lint: + @echo "---" + @echo "python-lint" + python -m pylint --jobs=0 --rcfile=.pylintrc $(PYTHON_DIRS) + +.PHONY: python-type +python-type: + @echo "---" + @echo "python-type" + python -m mypy --config-file .mypy.ini --show-column-numbers --strict --explicit-package-bases $(PYTHON_DIRS) + + +########################################################################### +# Toolchain installation for .github/workflows + +.PHONY: install-clang-ubuntu +install-clang-ubuntu: + @echo "Installing clang-$(VERSION_CLANG) compiler" + sudo apt-get remove python3-lldb-14 + wget https://apt.llvm.org/llvm.sh + chmod +x llvm.sh + echo | sudo ./llvm.sh $(VERSION_CLANG) + rm llvm.sh + + @echo "Creating soft links for compiler executables" + sudo ln --force -s /usr/bin/clang-$(VERSION_CLANG) /usr/bin/clang + sudo ln --force -s /usr/bin/clang++-$(VERSION_CLANG) /usr/bin/clang++ + +# This installs ~/bin/dfx +# Make sure to source ~/.profile afterwards -> it adds ~/bin to the path if it exists +.PHONY: install-dfx +install-dfx: + sh -ci "$$(curl -fsSL https://sdk.dfinity.org/install.sh)" + +.PHONY: install-didc +install-didc: + @echo "Installing didc $(VERSION_DIDC) ..." + sudo rm -rf /usr/local/bin/didc + wget https://github.com/dfinity/candid/releases/download/${VERSION_DIDC}/$(DIDC) + sudo mv $(DIDC) /usr/local/bin/didc + chmod +x /usr/local/bin/didc + @echo " " + @echo "Installed successfully in:" + @echo /usr/local/bin/didc + +.PHONY: install-jp +install-jp: + sudo apt-get update && sudo apt-get install jp + +.PHONY: install-python +install-python: + pip install --upgrade pip + pip install -r requirements.txt \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..2842dcb --- /dev/null +++ b/README.md @@ -0,0 +1,36 @@ +[![icpp-llm](https://github.com/icppWorld/icpp-llm/actions/workflows/cicd.yml/badge.svg)](https://github.com/icppWorld/icpp-llm/actions/workflows/cicd.yml) + +# LLMs for the Internet Computer +Try it out in [ICGPT Labs](https://icgpt.icpp.world) ! + +*The LLMs of this repo run inside it's back-end canisters.* + +![icpp-llm logo](./assets/icpp-llm-logo.png) + +# The Benefits of Running LLMs On-Chain + +The canisters within the Internet Computer have certain constraints. They come with memory restrictions, and there's a cap on the number of instructions one can execute per message, as discussed [here](https://forum.dfinity.org/t/instruction-limit-is-crushing-me/22070/10?u=icpp). + +This might lead one to question the rationale behind operating an LLM within an Internet Computer's canister. + +For me, the primary incentive is the unparalleled simplicity of using the IC in comparison to conventional cloud platforms. You develop, deploy & test using a local replica of the cloud, and when everything is ready, you deploy it to the IC with just one command. Everything becomes instantly and securely accessible online. You can very easily restrict access to the endpoints in case you don't want to make it fully public yet and want to share it with a smaller group instead. + +Thanks to the Internet Computer's foundational cryptographic and blockchain technologies, concerns related to IT and security vanish. It's truly remarkable. + +With such user-friendliness, the IC canister runtime serves as an ideal environment for my research pursuits. It complements the type of research presented in this paper that offers a dataset designed to boost the creation, examination, and study of Language Models for areas with scarce resources or specific niches: + + > [TinyStories: How Small Can Language Models Be and Still Speak +Coherent English?](https://arxiv.org/pdf/2305.07759.pdf) + +Besides the ease of use and the enhanced security, running LLMs directly on-chain also facilitates a seamless integration of tokenomics, eliminating the need to juggle between a complex blend of web3 and web2 components, and I believe it will lead to a new category of Generative AI based dApps. + + +## Instructions + +See the README in the icpp_llama2 folder + + +## Support + +For support, kindly create a GitHub Issue as outlined in the [Support](https://docs.icpp.world/support.html) documentation page. + \ No newline at end of file diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/assets/icpp-llm-logo.png 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She had a great eyes that was closed. One day, she asked her mom why the cloud was close to the pond. \n\"Mommy, I will take clothes away,\" Lila said. \"Th\n" + }, + ) + ``` + +# Fine tuning + + When making your own checkpoint via fine-tuning, make sure to train with the correct version of [karpathy/llama2.c](https://github.com/karpathy/llama2.c): + + | release | commit sha | + | --------| ----------------------------------------- | + | 0.1.0 | b28c1e26c5ab5660267633e1bdc910a43b7255bf | + | 0.2.0 | 57bf0e9ee4bbd61c98c4ad204b72f2b8881ac8cd | + | 0.3.0 | b9fb86169f56bd787bb644c62a80bbab56f8dccc | \ No newline at end of file diff --git a/icpp_llama2/README_icpp_llama2_resource_requirements.md b/icpp_llama2/README_icpp_llama2_resource_requirements.md new file mode 100644 index 0000000..5afcd9c --- /dev/null +++ b/icpp_llama2/README_icpp_llama2_resource_requirements.md @@ -0,0 +1,71 @@ +# Canister resource requirements for icpp_llama2. + +Do not edit this file. It is created with the command: +```bash +python -m scripts.icpp_llama2_sizer +``` + +### Tokenizer Memory (per model) + +Memory Type | 260K
(MB) | 15M
(MB) | 42M
(MB) | 110M
(MB) +--- | --- | --- | --- | --- +vocab_memory | 0.00 | 0.12 | 0.12 | 0.12 +vocab_scores_memory | 0.00 | 0.12 | 0.12 | 0.12 +Total | 0.00 | 0.24 | 0.24 | 0.24 + + +### TransformerWeights Memory (per model) + +Memory Type | 260K
(MB) | 15M
(MB) | 42M
(MB) | 110M
(MB) +--- | --- | --- | --- | --- +token_embedding_table | 0.12 | 35.16 | 62.50 | 93.75 +rms_att_weight | 0.00 | 0.01 | 0.02 | 0.04 +wq | 0.08 | 1.90 | 8.00 | 27.00 +wk | 0.04 | 1.90 | 8.00 | 27.00 +wv | 0.04 | 1.90 | 8.00 | 27.00 +wo | 0.08 | 1.90 | 8.00 | 27.00 +rms_ffn_weight | 0.00 | 0.01 | 0.02 | 0.04 +w1 | 0.21 | 5.06 | 21.50 | 72.00 +w2 | 0.21 | 5.06 | 21.50 | 72.00 +w3 | 0.21 | 5.06 | 21.50 | 72.00 +rms_final_weight | 0.00 | 0.00 | 0.00 | 0.00 +wcls | 0.12 | 35.16 | 62.50 | 93.75 +Total | 1.12 | 93.11 | 221.53 | 511.57 + + +### RunState Memory (per user) + +Memory Type | 260K
(MB) | 15M
(MB) | 42M
(MB) | 110M
(MB) +--- | --- | --- | --- | --- +x | 0.00 | 0.00 | 0.00 | 0.00 +xb | 0.00 | 0.00 | 0.00 | 0.00 +xb2 | 0.00 | 0.00 | 0.00 | 0.00 +hb | 0.00 | 0.00 | 0.01 | 0.01 +hb2 | 0.00 | 0.00 | 0.01 | 0.01 +q | 0.00 | 0.00 | 0.00 | 0.00 +k | 0.00 | 0.00 | 0.00 | 0.00 +v | 0.00 | 0.00 | 0.00 | 0.00 +att | 0.02 | 0.01 | 0.03 | 0.05 +logits | 0.00 | 0.12 | 0.12 | 0.12 +key_cache | 0.31 | 1.69 | 16.00 | 36.00 +value_cache | 0.31 | 1.69 | 16.00 | 36.00 +Total | 0.65 | 3.52 | 32.18 | 72.20 + + +### Total Memory + +Memory Type | 260K
(MB) | 15M
(MB) | 42M
(MB) | 110M
(MB) +--- | --- | --- | --- | --- +Total Tokenizer Memory (per model) | 0.00 | 0.24 | 0.24 | 0.24 +Total TransformerWeights Memory (per model) | 1.12 | 93.11 | 221.53 | 511.57 +Total RunState Memory (per user) | 0.65 | 3.52 | 32.18 | 72.20 +Overall Total Memory | 1.76 | 96.62 | 253.71 | 583.78 + + +### Canister Metrics + +Canister Metrics | 260K
(MB) | 15M
(MB) | 42M
(MB) | 110M
(MB) +--- | --- | --- | --- | --- +Max number of concurrent users | 6347 | 1138 | 120 | 49 + + diff --git a/icpp_llama2/canister_ids.json b/icpp_llama2/canister_ids.json new file mode 100644 index 0000000..7eac839 --- /dev/null +++ b/icpp_llama2/canister_ids.json @@ -0,0 +1,5 @@ +{ + "llama2": { + "ic": "4c4bn-daaaa-aaaag-abvcq-cai" + } +} \ No newline at end of file diff --git a/icpp_llama2/demo.ps1 b/icpp_llama2/demo.ps1 new file mode 100644 index 0000000..615a8b2 --- /dev/null +++ b/icpp_llama2/demo.ps1 @@ -0,0 +1,126 @@ +####################################################################### +# For Windows PowerShell (Miniconda is recommended) +####################################################################### + +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Stopping the local network in wsl" +wsl dfx stop + +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Starting the local network in wsl as a PowerShell background job" +$jobName = "llama2" + +# Stop the job if it already exist +# Get a list of all the background jobs with a specific name +$jobs = Get-Job -Name $jobName -ErrorAction SilentlyContinue + +# Stop all the jobs +$jobs | Remove-Job + +# Start the local network with redirecting error messages to output stream +$job = Start-Job -ScriptBlock { wsl dfx start --clean 2>&1 } -Name $jobName + +# Display the details of the job +$job | Format-Table + +# Wait for 10 seconds +Write-Host " " +Write-Host "Waiting for 10 seconds to allow the local network to start..." +Start-Sleep -Seconds 10 + +# Get the output of the job +$output = Receive-Job -Job $job +Write-Host $output -ForegroundColor Green + +####################################################################### +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Building the wasm with wasi-sdk" +icpp build-wasm --to-compile all +# icpp build-wasm --to-compile mine + +####################################################################### +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Deploying the wasm to a canister on the local network" +wsl --% dfx deploy + +####################################################################### +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Checking health endpoint" +wsl --% dfx canister call llama2 health + +####################################################################### +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Upload the model & tokenizer" +python -m scripts.upload + +####################################################################### +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Checking readiness endpoint" +wsl --% dfx canister call llama2 ready + +####################################################################### +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Generate a new story, 10 tokens at a time, starting with an empty prompt." +wsl --% dfx canister call llama2 new_chat '()' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Generate a new story, 10 tokens at a time, using a starting prompt" +wsl --% dfx canister call llama2 new_chat '()' +# You can build the prompt in multiple calls +wsl --% dfx canister call llama2 inference '(record {prompt = "Lilly went to" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "the beach this morning." : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "She saw a little boat" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "with her friend Billy" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +# Followed by building out the story +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +wsl --% dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + +# ####################################################################### +# Write-Host " " +# Write-Host "--------------------------------------------------" +# Write-Host "Running the full smoketests with pytest" +# pytest --network=local + +####################################################################### +# Write-Host " " +# Write-Host "--------------------------------------------------" +# Write-Host "Stopping the local network in wsl" +# wsl dfx stop + +# ####################################################################### +# Write-Host " " +# Write-Host "--------------------------------------------------" +# Write-Host "Building the Windows native debug executable with clang++" +# icpp build-native --to-compile all +# # icpp build-native --to-compile mine + +# ####################################################################### +# Write-Host " " +# Write-Host "--------------------------------------------------" +# Write-Host "Running the Windows native debug executable" +# .\build-native\mockic.exe \ No newline at end of file diff --git a/icpp_llama2/demo.sh b/icpp_llama2/demo.sh new file mode 100755 index 0000000..2dbe725 --- /dev/null +++ b/icpp_llama2/demo.sh @@ -0,0 +1,104 @@ +#!/bin/sh + +####################################################################### +# For Linux & Mac +####################################################################### + +echo " " +echo "--------------------------------------------------" +echo "Stopping the local network" +dfx stop + +echo " " +echo "--------------------------------------------------" +echo "Starting the local network as a background process" +dfx start --clean --background + +####################################################################### +echo "--------------------------------------------------" +echo "Building the wasm with wasi-sdk" +icpp build-wasm --to-compile all +# icpp build-wasm --to-compile mine + +####################################################################### +echo " " +echo "--------------------------------------------------" +echo "Deploying the wasm to a canister on the local network" +dfx deploy + +####################################################################### +echo " " +echo "--------------------------------------------------" +echo "Checking health endpoint" +dfx canister call llama2 health + +####################################################################### +echo " " +echo "--------------------------------------------------" +echo "Upload the model & tokenizer" +python -m scripts.upload + +####################################################################### +echo " " +echo "--------------------------------------------------" +echo "Checking readiness endpoint" +dfx canister call llama2 ready + +####################################################################### +echo " " +echo "--------------------------------------------------" +echo "Generate a new story, 10 tokens at a time, starting with an empty prompt." +dfx canister call llama2 new_chat '()' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + +echo " " +echo "--------------------------------------------------" +echo "Generate a new story, 10 tokens at a time, using a starting prompt" +dfx canister call llama2 new_chat '()' +# You can build the prompt in multiple calls +dfx canister call llama2 inference '(record {prompt = "Lilly went to" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "the beach this morning." : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "She saw a little boat" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "with her friend Billy" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +# Followed by building out the story +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + +# ####################################################################### +# echo " " +# echo "--------------------------------------------------" +# echo "Running the full smoketests with pytest" +# pytest --network=local + +####################################################################### +# echo "--------------------------------------------------" +# echo "Stopping the local network" +# dfx stop + +# ####################################################################### +# echo " " +# echo "--------------------------------------------------" +# echo "Building the OS native debug executable with clang++" +# icpp build-native --to-compile all +# # icpp build-native --to-compile mine + +# ####################################################################### +# echo " " +# echo "--------------------------------------------------" +# echo "Running the OS native debug executable" +# ./build-native/mockic.exe \ No newline at end of file diff --git a/icpp_llama2/demo1-ic.sh b/icpp_llama2/demo1-ic.sh new file mode 100755 index 0000000..890799e --- /dev/null +++ b/icpp_llama2/demo1-ic.sh @@ -0,0 +1,25 @@ +#!/bin/sh + +####################################################################### +# For Linux & Mac +####################################################################### + +####################################################################### +# Before running this, create an identity 'demo1', with: +# $ dfx identity new demo1 +echo " " +echo "--------------------------------------------------" +echo "Generate a new story, 10 tokens at a time, starting with an empty prompt." +dfx canister call --identity demo1 --network ic llama2 new_chat '()' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' \ No newline at end of file diff --git a/icpp_llama2/demo1.sh b/icpp_llama2/demo1.sh new file mode 100755 index 0000000..97486de --- /dev/null +++ b/icpp_llama2/demo1.sh @@ -0,0 +1,25 @@ +#!/bin/sh + +####################################################################### +# For Linux & Mac +####################################################################### + +####################################################################### +# Before running this, create an identity 'demo1', with: +# $ dfx identity new demo1 +echo " " +echo "--------------------------------------------------" +echo "Generate a new story, 10 tokens at a time, starting with an empty prompt." +dfx canister call --identity demo1 llama2 new_chat '()' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo1 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' \ No newline at end of file diff --git a/icpp_llama2/demo2-ic.sh b/icpp_llama2/demo2-ic.sh new file mode 100755 index 0000000..424fcf5 --- /dev/null +++ b/icpp_llama2/demo2-ic.sh @@ -0,0 +1,29 @@ +#!/bin/sh + +####################################################################### +# For Linux & Mac +####################################################################### + +####################################################################### +# Before running this, create an identity 'demo2', with: +# $ dfx identity new demo2 +echo " " +echo "--------------------------------------------------" +echo "Generate a new story, 10 tokens at a time, using a starting prompt" +dfx canister call --identity demo2 --network ic llama2 new_chat '()' +# You can build the prompt in multiple calls +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "Lilly went to" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "the beach this morning." : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "She saw a little boat" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "with her friend Billy" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +# Followed by building out the story +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 --network ic llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' \ No newline at end of file diff --git a/icpp_llama2/demo2.sh b/icpp_llama2/demo2.sh new file mode 100755 index 0000000..ac12211 --- /dev/null +++ b/icpp_llama2/demo2.sh @@ -0,0 +1,29 @@ +#!/bin/sh + +####################################################################### +# For Linux & Mac +####################################################################### + +####################################################################### +# Before running this, create an identity 'demo2', with: +# $ dfx identity new demo2 +echo " " +echo "--------------------------------------------------" +echo "Generate a new story, 10 tokens at a time, using a starting prompt" +dfx canister call --identity demo2 llama2 new_chat '()' +# You can build the prompt in multiple calls +dfx canister call --identity demo2 llama2 inference '(record {prompt = "Lilly went to" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "the beach this morning." : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "She saw a little boat" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "with her friend Billy" : text; steps = 0 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +# Followed by building out the story +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' +dfx canister call --identity demo2 llama2 inference '(record {prompt = "" : text; steps = 10 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' \ No newline at end of file diff --git a/icpp_llama2/dfx.json b/icpp_llama2/dfx.json new file mode 100644 index 0000000..018ff6a --- /dev/null +++ b/icpp_llama2/dfx.json @@ -0,0 +1,16 @@ +{ + "version": 1, + "canisters": { + "llama2": { + "type": "custom", + "candid": "src/llama2.did", + "wasm": "build/llama2.wasm" + } + }, + "defaults": { + "build": { + "args": "", + "packtool": "" + } + } +} \ No newline at end of file diff --git a/icpp_llama2/icpp.toml b/icpp_llama2/icpp.toml new file mode 100644 index 0000000..6cc7ed0 --- /dev/null +++ b/icpp_llama2/icpp.toml @@ -0,0 +1,18 @@ +[build-wasm] +canister = "llama2" +did_path = "src/llama2.did" +cpp_paths = ["src/*.cpp"] +cpp_header_paths = ["src/*.h"] +cpp_compile_flags = [] +cpp_link_flags = [] +c_paths = ["src/run.c"] +c_header_paths = ["src/run.h"] +c_compile_flags = [] +[build-native] +cpp_paths = ["native/main.cpp"] +cpp_header_paths = ["native/main.h"] +cpp_compile_flags = [] +cpp_link_flags = [] +c_paths = [] +c_header_paths = [] +c_compile_flags = [] diff --git a/icpp_llama2/native/main.cpp b/icpp_llama2/native/main.cpp new file mode 100644 index 0000000..ffcb215 --- /dev/null +++ b/icpp_llama2/native/main.cpp @@ -0,0 +1,642 @@ +// Main entry point for a native debug executable. +// Build it with: `icpp build-native` from the parent folder where 'icpp.toml' resides + +#include "main.h" + +#include +#include +#include +#include +#include +#include +#include + +#ifdef _WIN32 +#include +#define get_current_dir _getcwd +#else +#include +#define get_current_dir getcwd +#endif + +#include "../src/canister.h" +#include "../src/chats.h" +#include "../src/inference.h" +#include "../src/initialize.h" +#include "../src/upload.h" +#include "../src/users.h" + +// The Mock IC +#include "mock_ic.h" + +// Helper function to chunk a vector into x Mb +std::vector> +chunk_file(const std::vector &model_bytes, const float x_chunk = 1.0) { + const size_t chunk_size = std::round(x_chunk * 1024 * 1024); // x_chunk & 1 MB + std::vector> chunk_indices; + + for (size_t i = 0; i < model_bytes.size(); i += chunk_size) { + size_t end = i + chunk_size; + + // If end goes beyond the size of model_bytes, reduce it to the size of model_bytes + if (end > model_bytes.size()) end = model_bytes.size(); + + chunk_indices.push_back(std::make_pair(i, end)); + } + + return chunk_indices; +} + +int main() { + MockIC mockIC(true); + + // Placeholder strings for the raw candid messages going in and out + std::string candid_in{""}; // what the client will send + std::string candid_out_expected{""}; // what the canister must send back + + // ----------------------------------------------------------------------------- + // Configs for the tests: + + // The pretend principals of the caller + std::string my_principal{ + "expmt-gtxsw-inftj-ttabj-qhp5s-nozup-n3bbo-k7zvn-dg4he-knac3-lae"}; + std::string your_principal{"2ibo7-dia"}; + std::string anonymous_principal{"2vxsx-fae"}; + + bool silent_on_trap = true; + + // The model & tokenizer to use + int model_to_use = 1; // 1=260K, 2=15M + + std::string model_path; + std::string tokenizer_path; + if (model_to_use == 1) { + // Use this really small model during development + model_path = "stories260K/stories260K.bin"; + tokenizer_path = "stories260K/tok512.bin"; + } else if (model_to_use == 2) { + // Use this during final QA + std::string model_path = "models/stories15M.bin"; + std::string tokenizer_path = "tokenizers/tokenizer.bin"; + } else { + std::cout << "ERROR: Uknown value of 'model_to_use'"; + exit(1); + } + std::cout << "model_path = " << model_path << "\n"; + std::cout << "tokenizer_path = " << tokenizer_path << "\n"; + + // ----------------------------------------------------------------------------- + // Read the models file into a bytes vector + + std::streamsize file_size; // file size bytes + std::vector model_bytes; // bytes to upload + { + // Open the file in binary mode. 'ate' means open at end + std::ifstream file(model_path, std::ios::binary | std::ios::ate); + if (!file) { + std::cout << "Couldn't open file " << model_path << '\n'; + char cwd[FILENAME_MAX]; + if (!get_current_dir(cwd, sizeof(cwd))) { + std::cout << "Couldn't determine current_dir " << '\n'; + return errno; + } + std::cout << "The current working directory is " << std::string(cwd) + << '\n'; + return 1; + } + + // Figure out the total size of the file in bytes + file_size = file.tellg(); + + // Seek back to the start + file.seekg(0, std::ios::beg); + + // Resize the bytes vector to the correct size + model_bytes.resize(file_size); + + // Read the file into the vector + if (!file.read(reinterpret_cast(model_bytes.data()), file_size)) { + std::cout << "File read failed!\n"; + return 1; + } + } + + // ----------------------------------------------------------------------------- + // Read the tokenizer file into a bytes vector + + // std::streamsize file_size; // file size bytes + std::vector tokenizer_bytes; // bytes to upload + { + // Open the file in binary mode. 'ate' means open at end + std::ifstream file(tokenizer_path, std::ios::binary | std::ios::ate); + if (!file) { + std::cout << "Couldn't open file " << tokenizer_path << '\n'; + char cwd[FILENAME_MAX]; + if (!get_current_dir(cwd, sizeof(cwd))) { + std::cout << "Couldn't determine current_dir " << '\n'; + return errno; + } + std::cout << "The current working directory is " << std::string(cwd) + << '\n'; + return 1; + } + + // Figure out the total size of the file in bytes + file_size = file.tellg(); + + // Seek back to the start + file.seekg(0, std::ios::beg); + + // Resize the bytes vector to the correct size + tokenizer_bytes.resize(file_size); + + // Read the file into the vector + if (!file.read(reinterpret_cast(tokenizer_bytes.data()), + file_size)) { + std::cout << "File read failed!\n"; + return 1; + } + } + + // ----------------------------------------------------------------------------- + // '()' -> canister_init does not return directly, so skip validation check + mockIC.run_test("canister_init", canister_init, "4449444c0000", "", + silent_on_trap, my_principal); + + // '()' -> '(true)' + mockIC.run_test("health", health, "4449444c0000", "4449444c00017e01", + silent_on_trap, anonymous_principal); + + // '()' -> '(false)' + mockIC.run_test("ready", ready, "4449444c0000", "4449444c00017e00", + silent_on_trap, anonymous_principal); + + // '()' -> '(variant { err = 401 : nat16 })' + // Call with non owner principal must be denied + mockIC.run_test("reset_model err", reset_model, "4449444c0000", + "4449444c016b01e58eb4027a0100009101", silent_on_trap, + anonymous_principal); + + // '()' -> '(variant { ok = 200 : nat16 })' + // Call with owner principal + mockIC.run_test("reset_model", reset_model, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + + // ========================================================================== + std::cout << "\n+++++++++++++++++++++++++++++++++++++++++++++++++++++\n"; + std::cout << "Sending bytes of " << model_path << "\n"; + float x_chunk = 25; // To speed up native test. IC can handle only < 2.0 Mb + auto chunk_indices = chunk_file(model_bytes, x_chunk); + + // Iterate over all chunks + int i = 0; + int count_bytes = 0; + for (auto &indices : chunk_indices) { + auto chunk_start = indices.first; + auto chunk_end = indices.second; + + // Construct a temporary vector for the chunk + std::vector chunk(model_bytes.begin() + chunk_start, + model_bytes.begin() + chunk_end); + + count_bytes += chunk.size(); + + std::cout << "Sending candid for " << std::to_string(chunk.size()) + << " bytes : \n"; + std::cout << "- i = " << std::to_string(i) << "\n"; + std::cout << std::fixed << std::setprecision(1); + std::cout << "- progress = " + << (static_cast(count_bytes) / model_bytes.size()) * 100 + << " % " << std::endl; + + std::cout << "- chunk[0] = " << std::to_string(chunk[0]) << "\n"; + std::cout << "- chunk.back() = " << std::to_string(chunk.back()) << "\n"; + std::cout << "Serializing... \n"; + candid_in = CandidSerialize(CandidTypeVecNat8{chunk}).as_hex_string(); + std::cout << "- candid_raw = "; + if (candid_in.size() <= 20) std::cout << candid_in << "\n"; + else + std::cout << candid_in.substr(0, 10) << "..." + << candid_in.substr(candid_in.size() - 10) << "\n"; + + // candid_in -> '(variant { ok = 200 : nat16 })' + candid_out_expected = "4449444c016b019cc2017a010000c800"; + mockIC.run_test("upload_model_bytes_chunk", upload_model_bytes_chunk, + candid_in, candid_out_expected, silent_on_trap, + my_principal); + + i++; + } + + // ========================================================================== + std::cout << "\n+++++++++++++++++++++++++++++++++++++++++++++++++++++\n"; + std::cout << "Sending bytes of " << tokenizer_path << "\n"; + x_chunk = 1.9; + chunk_indices = chunk_file(tokenizer_bytes, x_chunk); + + // Iterate over all chunks + i = 0; + count_bytes = 0; + for (auto &indices : chunk_indices) { + auto chunk_start = indices.first; + auto chunk_end = indices.second; + + // Construct a temporary vector for the chunk + std::vector chunk(tokenizer_bytes.begin() + chunk_start, + tokenizer_bytes.begin() + chunk_end); + count_bytes += chunk.size(); + + std::cout << "Sending candid for " << std::to_string(chunk.size()) + << " bytes : \n"; + std::cout << "- i = " << std::to_string(i) << "\n"; + std::cout << std::fixed << std::setprecision(1); + std::cout << "- progress = " + << (static_cast(count_bytes) / tokenizer_bytes.size()) * + 100 + << " % " << std::endl; + + std::cout << "- chunk[0] = " << std::to_string(chunk[0]) << "\n"; + std::cout << "- chunk.back() = " << std::to_string(chunk.back()) << "\n"; + + std::cout << "Serializing... \n"; + candid_in = CandidSerialize(CandidTypeVecNat8{chunk}).as_hex_string(); + std::cout << "- candid_raw = "; + if (candid_in.size() <= 20) std::cout << candid_in << "\n"; + else + std::cout << candid_in.substr(0, 10) << "..." + << candid_in.substr(candid_in.size() - 10) << "\n"; + + // candid_in -> '(variant { ok = 200 : nat16 })' + candid_out_expected = "4449444c016b019cc2017a010000c800"; + mockIC.run_test("upload_tokenizer_bytes_chunk", + upload_tokenizer_bytes_chunk, candid_in, + candid_out_expected, silent_on_trap, my_principal); + + i++; + } + + // ========================================================================== + // Mimic two principals at once are building a story... + + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("initialize", initialize, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + your_principal); + + // '()' -> '(variant { err = "The Llama2 canister does not allow calling with anonymous principal." : text })' + mockIC.run_test( + "new_chat", new_chat, "4449444c0000", + "4449444c016b01e58eb4027101000044546865204c6c616d61322063616e697374657220646f6573206e6f7420616c6c6f772063616c6c696e67207769746820616e6f6e796d6f7573207072696e636970616c2e", + silent_on_trap, anonymous_principal); + /* + '()' -> + '( + record { + dim = 288 : int; + hidden_dim = 768 : int; + n_layers = 6 : int; + n_heads = 6 : int; + n_kv_heads = 6 : int; + vocab_size = 32_000 : int; + seq_len = 256 : int; + }, + )' + */ + std::string expected_response = + "4449444c016c07c8fab0027cb087c0d9017cd58488bc027cb3fdc984037cf3e0d4d6057cf5cfd3fc057c82c3e4f60f7c0100a0020680fa01800606800206"; + if (model_to_use == 1) { + /* + '()' -> + '( + record { + dim = 64 : int; + hidden_dim = 4 : int; + n_layers = 512 : int; + n_heads = 172 : int; + n_kv_heads = 5 : int; + vocab_size = 512 : int; + seq_len = 8 : int; + }, + )' + */ + expected_response = + "4449444c016c07c8fab0027cb087c0d9017cd58488bc027cb3fdc984037cf3e0d4d6057cf5cfd3fc057c82c3e4f60f7c0100c000048004ac0105800408"; + } + mockIC.run_test("get_model_config", get_model_config, "4449444c0000", + expected_response, silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + std::array principals = {my_principal, your_principal}; + + // Repeat it two times, for two principals intermittently + for (int k = 0; k < 2; k++) { + for (const auto &principal : principals) { + + // A new chat, using a prompt built in multiple steps + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + principal); + } + + // Loop to create a long story, 10 tokens at a time + // With temperature=0.0: greedy argmax sampling -> the story will be the same every time + std::array prompt = {"Lilly went to", "Billy came from"}; + std::array steps = {0, 0}; + std::array temperature = {0.0, 0.0}; + std::array topp = {0.9, 0.9}; + std::array rng_seed = {0, 0}; + + std::array generated_tokens = {"", ""}; + std::array story = {"", ""}; + for (int i = 0; i < 10; i++) { + for (int j = 0; j < 2; j++) { + + CandidTypeRecord r_in; + r_in.append("prompt", CandidTypeText(prompt[j])); + r_in.append("steps", CandidTypeNat64(steps[j])); + r_in.append("temperature", CandidTypeFloat32(temperature[j])); + r_in.append("topp", CandidTypeFloat32(topp[j])); + r_in.append("rng_seed", CandidTypeNat64(uint64_t(rng_seed[j]))); + candid_in = CandidSerialize(r_in).as_hex_string(); + + std::string candid_out; + mockIC.run_test("inference 0a", inference, candid_in, "", + silent_on_trap, principals[j], &candid_out); + + std::string err_text; + CandidTypeVariant v_out; + v_out.append("ok", CandidTypeText(&generated_tokens[j])); + v_out.append("err", CandidTypeText(&err_text)); + + CandidArgs A; + A.append(v_out); + CandidDeserialize(candid_out, A); + if (err_text.size() > 0) { + std::cout << "ERROR returned by inference function.\n"; + exit(1); + } + story[j] += generated_tokens[j]; + std::cout << story[j] << "\n"; + } + if (i == 0) { + prompt[0] = "the beach this morning. "; + prompt[1] = "the pool this afternoon. "; + steps[0] = 0; + steps[1] = 0; + } else if (i == 1) { + prompt[0] = "She saw a little boat"; + prompt[1] = "He went swimming"; + steps[0] = 0; + steps[1] = 0; + } else if (i == 2) { + prompt[0] = " with her friend Billy"; + prompt[1] = " with his friend Lilly"; + steps[0] = 0; + steps[1] = 0; + } else { + prompt[0] = ""; + prompt[1] = ""; + steps[0] = 10; + steps[1] = 10; + } + } + } + + // ----------------------------------------------------------------------------------------- + { // A new chat, starting with an empty prompt + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + + // Loop to create 1000 token long story, 10 tokens at a time + // With temperature=0.0: greedy argmax sampling -> the story will be the same every time + std::string prompt = ""; + uint64_t steps = 10; + float temperature = 0.0; + float topp = 0.9; + uint64_t rng_seed = 0; + + std::string generated_tokens = ""; + std::string story = ""; + for (int i = 0; i < 100; i++) { + CandidTypeRecord r_in; + r_in.append("prompt", CandidTypeText(prompt)); + r_in.append("steps", CandidTypeNat64(steps)); + r_in.append("temperature", CandidTypeFloat32(temperature)); + r_in.append("topp", CandidTypeFloat32(topp)); + r_in.append("rng_seed", CandidTypeNat64(uint64_t(rng_seed))); + candid_in = CandidSerialize(r_in).as_hex_string(); + + std::string candid_out; + mockIC.run_test("inference 0b", inference, candid_in, "", silent_on_trap, + my_principal, &candid_out); + + std::string err_text; + CandidTypeVariant v_out; + v_out.append("ok", CandidTypeText(&generated_tokens)); + v_out.append("err", CandidTypeText(&err_text)); + + CandidArgs A; + A.append(v_out); + CandidDeserialize(candid_out, A); + if (err_text.size() > 0) { + std::cout << "ERROR returned by inference function."; + exit(1); + } + story += generated_tokens; + + prompt = ""; + } + std::cout << story; + } + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + + // With temperature=0.0: greedy argmax sampling -> the story will be the same every time + // '(record {prompt = "" : text; steps = 100 : nat64; temperature = 0.0 : float32; topp = 1.0 : float32; rng_seed = 0 : nat64;})' + // -> '(variant { ok = "Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun! She thought it was so pretty.\nLily wanted to play with the ball, but it was too high up in the sky. She tried to jump and reach it, but she couldn\'t. Then, she had an idea. She would use a stick to knock the" : text })' + expected_response = + "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"; + if (model_to_use == 1) { + // -> '(variant { ok = ""Once upon a time, there was a little girl named Lily. She loved to play outside in the park. One day, she saw a big, red ball. She wanted to play with it, but it was too high.\nLily\'s mom said, \"Lily, let\'s go to the park.\" Lily was sad and didn\'t know w\n"" : text })' + expected_response = + "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"; + } + mockIC.run_test( + "inference 1", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b710100000000000000803f6400000000000000000000000000000000", + expected_response, silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature=0.0 & topp=0.9, still greedy argmax sampling -> the story will be the same every time + // '(record {prompt = "" : text; steps = 100 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + mockIC.run_test( + "inference 2", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b710100000000006666663f6400000000000000000000000000000000", + expected_response, silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature>0.0 & topp=1.0: regular sampling + // '(record {prompt = "" : text; steps = 100 : nat64; temperature = 0.9 : float32; topp = 1.0 : float32; rng_seed = 0 : nat64;})' + // -> --can not check on story-- + mockIC.run_test( + "inference 3", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b7101006666663f0000803f6400000000000000000000000000000000", + "", silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature>0.0 & topp<1.0: top-pp (nucleus) sampling + // '(record {prompt = "" : text; steps = 100 : nat64; temperature = 0.9 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + // -> --can not check on story-- + mockIC.run_test( + "inference 4", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b7101006666663f6666663f6400000000000000000000000000000000", + "", silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature=0.0: greedy argmax sampling -> the story will be the same every time + // '(record {prompt = "Yesterday I went for a walk" : text; steps = 100 : nat64; temperature = 0.0 : float32; topp = 1.0 : float32; rng_seed = 0 : nat64;})' + // -> '(variant { ok = "..." : text })' + mockIC.run_test( + "inference 1a", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b710100000000000000803f640000000000000000000000000000001b59657374657264617920492077656e7420666f7220612077616c6b", + "", silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature=0.0 & topp=0.9, still greedy argmax sampling -> the story will be the same every time + // '(record {prompt = "Yesterday I went for a walk" : text; steps = 100 : nat64; temperature = 0.0 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + // -> '(variant { ok = "..." : text })' + mockIC.run_test( + "inference 2a", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b710100000000006666663f640000000000000000000000000000001b59657374657264617920492077656e7420666f7220612077616c6b", + "", silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature>0.0 & topp=1.0: regular sampling + // '(record {prompt = "Yesterday I went for a walk" : text; steps = 100 : nat64; temperature = 0.9 : float32; topp = 1.0 : float32; rng_seed = 0 : nat64;})' + // -> --can not check on story-- + mockIC.run_test( + "inference 3a", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b7101006666663f0000803f640000000000000000000000000000001b59657374657264617920492077656e7420666f7220612077616c6b", + "", silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // A new chat + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("new_chat", new_chat, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + // With temperature>0.0 & topp<1.0: top-pp (nucleus) sampling + // '(record {prompt = "Yesterday I went for a walk" : text; steps = 100 : nat64; temperature = 0.9 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})' + // -> --can not check on story-- + mockIC.run_test( + "inference 4a", inference, + "4449444c016c05b4e8c2e40373bbb885e80473a7f7b9a00878c5c8cea60878a4a3e1aa0b7101006666663f6666663f640000000000000000000000000000001b59657374657264617920492077656e7420666f7220612077616c6b", + "", silent_on_trap, my_principal); + + // ----------------------------------------------------------------------------------------- + // Users data + + // Verify that calls trap when not owner + mockIC.run_trap_test("get_user_count", get_user_count, "4449444c0000", + silent_on_trap, your_principal); + + mockIC.run_trap_test("get_user_ids", get_user_ids, "4449444c0000", + silent_on_trap, your_principal); + + mockIC.run_trap_test("get_user_metadata", get_user_metadata, + "4449444c000171093269626f372d646961", silent_on_trap, + your_principal); + + // '()' -> '(2 : nat64)' + mockIC.run_test("get_user_count", get_user_count, "4449444c0000", + "4449444c0001780200000000000000", silent_on_trap, + my_principal); + + /* + '()' -> + ( + vec { + "2ibo7-dia"; + "expmt-gtxsw-inftj-ttabj-qhp5s-nozup-n3bbo-k7zvn-dg4he-knac3-lae"; + }, + ) + */ + mockIC.run_test( + "get_user_ids", get_user_ids, "4449444c0000", + "4449444c016d71010002093269626f372d6469613f6578706d742d67747873772d696e66746a2d747461626a2d71687035732d6e6f7a75702d6e3362626f2d6b377a766e2d64673468652d6b6e6163332d6c6165", + silent_on_trap, my_principal); + + // '("2ibo7-dia")' -> ... two vectors of nat64 ... but we can not check time-stamp! + /* + ( + vec { + 1_695_424_351_661_183_242 : nat64; + 1_695_424_351_661_875_047 : nat64; + 1_695_424_351_885_991_917 : nat64; + }, + vec { 0 : nat64; 620 : nat64; 620 : nat64 }, + ) + */ + mockIC.run_test("get_user_metadata", get_user_metadata, + "4449444c000171093269626f372d646961", "", silent_on_trap, + my_principal); + + // ----------------------------------------------------------------------------------------- + // Reset the model + // '()' -> '(variant { ok = 200 : nat16 })' + mockIC.run_test("reset_model", reset_model, "4449444c0000", + "4449444c016b019cc2017a010000c800", silent_on_trap, + my_principal); + + // ----------------------------------------------------------------------------- + // returns 1 if any tests failed + return mockIC.test_summary(); +} \ No newline at end of file diff --git a/icpp_llama2/native/main.h b/icpp_llama2/native/main.h new file mode 100644 index 0000000..142973f --- /dev/null +++ b/icpp_llama2/native/main.h @@ -0,0 +1,2 @@ +// Main entry point for a native debug executable. +// Build it with: `icpp build-native` from the parent folder where 'icpp.toml' resides \ No newline at end of file diff --git a/icpp_llama2/requirements.txt b/icpp_llama2/requirements.txt new file mode 100644 index 0000000..2052ff2 --- /dev/null +++ b/icpp_llama2/requirements.txt @@ -0,0 +1,3 @@ +-r scripts/requirements.txt +icpp-pro +ic-py diff --git a/icpp_llama2/scripts/__init__.py b/icpp_llama2/scripts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/icpp_llama2/scripts/ic_py_canister.py b/icpp_llama2/scripts/ic_py_canister.py new file mode 100644 index 0000000..ffcd160 --- /dev/null +++ b/icpp_llama2/scripts/ic_py_canister.py @@ -0,0 +1,98 @@ +"""Returns the ic-py Canister instance, for calling the endpoints.""" +import sys +import platform +import subprocess +from pathlib import Path +from typing import Optional +from ic.canister import Canister # type: ignore +from ic.client import Client # type: ignore +from ic.identity import Identity # type: ignore +from ic.agent import Agent # type: ignore +from icpp.run_shell_cmd import run_shell_cmd + +ROOT_PATH = Path(__file__).parent.parent + +# We use dfx to get some information. +# On Windows, dfx must be installed in wsl. +DFX = "dfx" +RUN_IN_POWERSHELL = False +if platform.win32_ver()[0]: + DFX = "wsl --% dfx" + RUN_IN_POWERSHELL = True + + +def run_dfx_command(cmd: str) -> Optional[str]: + """Runs dfx command as a subprocess""" + try: + return run_shell_cmd( + cmd, + capture_output=True, + run_in_powershell=RUN_IN_POWERSHELL, + ).rstrip("\n") + except subprocess.CalledProcessError as e: + print(f"Failed dfx command: '{cmd}' with error: \n{e.output}") + sys.exit(1) + return None + + +def get_canister( + canister_name: str, candid_path: Path, network: str = "local" +) -> Canister: + """Returns an ic_py Canister instance""" + + # Check if the network is up + print(f"--\nChecking if the {network} network is up...") + run_dfx_command(f"{DFX} ping {network} ") + print("Ok!") + + # Set the network URL + if network == "local": + replica_port = run_dfx_command(f"{DFX} info replica-port ") + replica_rev = run_dfx_command(f"{DFX} info replica-rev ") + webserver_port = run_dfx_command(f"{DFX} info webserver-port ") + networks_json_path = run_dfx_command(f"{DFX} info networks-json-path ") + print(f"replica-port = {replica_port}") + print(f"replica-rev = {replica_rev}") + print(f"webserver-port = {webserver_port}") + print(f"networks-json-path = {networks_json_path}") + + network_url = f"http://localhost:{replica_port}" + else: + # https://smartcontracts.org/docs/interface-spec/index.html#http-interface + network_url = "https://ic0.app" + + print(f"Network URL = {network_url}") + + # Get the name of the current identity + identity_whoami = run_dfx_command(f"{DFX} identity whoami ") + print(f"Using identity = {identity_whoami}") + + # Get the id of the canister + canister_id = run_dfx_command( + f"{DFX} canister --network {network} id {canister_name} " + ) + print(f"Canister ID = {canister_id}") + + # Get the private key of the current identity + private_key = run_dfx_command(f"{DFX} identity export {identity_whoami} ") + + # Create an Identity instance using the private key + identity = Identity.from_pem(private_key) + + # Create an HTTP client instance for making HTTPS calls to the IC + # https://smartcontracts.org/docs/interface-spec/index.html#http-interface + client = Client(url=network_url) + + # Create an IC agent to communicate with IC canisters + agent = Agent(identity, client) + + # Read canister's candid from file + with open( + candid_path, + "r", + encoding="utf-8", + ) as f: + canister_did = f.read() + + # Create a Canister instance + return Canister(agent=agent, canister_id=canister_id, candid=canister_did) diff --git a/icpp_llama2/scripts/icpp_llama2_sizer.py b/icpp_llama2/scripts/icpp_llama2_sizer.py new file mode 100644 index 0000000..0c7a760 --- /dev/null +++ b/icpp_llama2/scripts/icpp_llama2_sizer.py @@ -0,0 +1,266 @@ +"""Calculates the require resources to deploy a Llama2 model to an IC canister""" +# pylint: disable=invalid-name +import sys +import struct +from pathlib import Path +from typing import TextIO + +ROOT_PATH = Path(__file__).parent.parent + +# For 32 bit system +SIZE_OF_FLOAT = 4 # bytes +SIZE_OF_POINTER = 4 # bytes +SIZE_OF_BYTE_PIECES = 512 # bytes (static size) + + +def read_config_from_file(file_path: Path) -> dict[str, int]: + """ + Reads the Config structure from a binary file and returns it as a dictionary. + """ + with open(file_path, "rb") as f: + # Read the data corresponding to the Config struct + data: bytes = f.read(struct.calcsize("7i")) + config_values = struct.unpack("7i", data) + + config: dict[str, int] = { + "dim": config_values[0], + "hidden_dim": config_values[1], + "n_layers": config_values[2], + "n_heads": config_values[3], + "n_kv_heads": config_values[4], + "vocab_size": abs( + config_values[5] + ), # account for possible negative vocab_size + "seq_len": config_values[6], + } + return config + + +def calculate_memory(config: dict[str, int]) -> dict[str, dict[str, float]]: + """Calculate required memory for all the LLM components""" + # Tokenizer + vocab_memory = config["vocab_size"] * SIZE_OF_POINTER + vocab_scores_memory = config["vocab_size"] * SIZE_OF_FLOAT + + # TransformerWeights + head_size = config["dim"] / config["n_heads"] + n_layers = config["n_layers"] + + token_embedding_table = config["vocab_size"] * config["dim"] * SIZE_OF_FLOAT + rms_att_weight = n_layers * config["dim"] * SIZE_OF_FLOAT + wq = n_layers * config["dim"] * (config["n_heads"] * head_size) * SIZE_OF_FLOAT + wk = n_layers * config["dim"] * (config["n_kv_heads"] * head_size) * SIZE_OF_FLOAT + wv = wk # Same as wk + wo = n_layers * (config["n_heads"] * head_size) * config["dim"] * SIZE_OF_FLOAT + rms_ffn_weight = n_layers * config["dim"] * SIZE_OF_FLOAT + w1 = n_layers * config["dim"] * config["hidden_dim"] * SIZE_OF_FLOAT + w2 = n_layers * config["hidden_dim"] * config["dim"] * SIZE_OF_FLOAT + w3 = w1 # Same as w1 + rms_final_weight = config["dim"] * SIZE_OF_FLOAT + wcls = config["vocab_size"] * config["dim"] * SIZE_OF_FLOAT + + # RunState + kv_dim = (config["dim"] * config["n_kv_heads"]) / config["n_heads"] + x = config["dim"] * SIZE_OF_FLOAT + xb = x # Same as x + xb2 = x # Same as x + hb = config["hidden_dim"] * SIZE_OF_FLOAT + hb2 = hb # Same as hb + q = x # Same as x + k = kv_dim * SIZE_OF_FLOAT + v = k # Same as k + att = config["n_heads"] * config["seq_len"] * SIZE_OF_FLOAT + logits = config["vocab_size"] * SIZE_OF_FLOAT + key_cache = n_layers * config["seq_len"] * kv_dim * SIZE_OF_FLOAT + value_cache = key_cache # Same as key_cache + + # Calculate total memory usage for Tokenizer, TransformerWeights and RunState + total_tokenizer = vocab_memory + vocab_scores_memory + SIZE_OF_BYTE_PIECES + + total_transformer_weights = sum( + [ + token_embedding_table, + rms_att_weight, + wq, + wk, + wv, + wo, + rms_ffn_weight, + w1, + w2, + w3, + rms_final_weight, + wcls, + ] + ) + total_run_state = sum( + [x, xb, xb2, hb, hb2, q, k, v, att, logits, key_cache, value_cache] + ) + + # Collate the results in a dictionary + data: dict[str, dict[str, float]] = { + "Tokenizer Memory (per model)": { + "vocab_memory": vocab_memory / (1024 * 1024), + "vocab_scores_memory": vocab_scores_memory / (1024 * 1024), + }, + "TransformerWeights Memory (per model)": { + "token_embedding_table": token_embedding_table / (1024 * 1024), + "rms_att_weight": rms_att_weight / (1024 * 1024), + "wq": wq / (1024 * 1024), + "wk": wk / (1024 * 1024), + "wv": wv / (1024 * 1024), + "wo": wo / (1024 * 1024), + "rms_ffn_weight": rms_ffn_weight / (1024 * 1024), + "w1": w1 / (1024 * 1024), + "w2": w2 / (1024 * 1024), + "w3": w3 / (1024 * 1024), + "rms_final_weight": rms_final_weight / (1024 * 1024), + "wcls": wcls / (1024 * 1024), + }, + "RunState Memory (per user)": { + "x": x / (1024 * 1024), + "xb": xb / (1024 * 1024), + "xb2": xb2 / (1024 * 1024), + "hb": hb / (1024 * 1024), + "hb2": hb2 / (1024 * 1024), + "q": q / (1024 * 1024), + "k": k / (1024 * 1024), + "v": v / (1024 * 1024), + "att": att / (1024 * 1024), + "logits": logits / (1024 * 1024), + "key_cache": key_cache / (1024 * 1024), + "value_cache": value_cache / (1024 * 1024), + }, + "Total Memory": { + "Total Tokenizer Memory (per model)": total_tokenizer / (1024 * 1024), + "Total TransformerWeights Memory (per model)": total_transformer_weights + / (1024 * 1024), + "Total RunState Memory (per user)": total_run_state / (1024 * 1024), + "Overall Total Memory": (total_transformer_weights + total_run_state) + / (1024 * 1024), + }, + } + return data + + +def write_data(file: TextIO, title: str, data: dict[str, dict[str, float]]) -> None: + """Writes it all to a Markdown file""" + # Get the models for headers + headers = ["Memory Type"] + [f"{model}
(MB)" for model in data.keys()] + + # Write the table name + file.write(f"### {title}\n\n") + + # Write the headers + file.write(" | ".join(headers) + "\n") + file.write(" | ".join(["---"] * len(headers)) + "\n") + + # Assuming that all models have the same memory types, + # using the first model to get the list of memory types + memory_types = list(data[next(iter(data))].keys()) + + totals = {model: 0.0 for model in data.keys()} + + for mtype in memory_types: + row_data = [mtype] + [ + f"{model_data[mtype]:.2f}" for model_data in data.values() + ] + file.write(" | ".join(row_data) + "\n") + + # Accumulate totals for the first three tables + if title in [ + "Tokenizer Memory (per model)", + "TransformerWeights Memory (per model)", + "RunState Memory (per user)", + ]: + for model, value in zip( + data.keys(), + [model_data[mtype] for model_data in data.values()], + ): + totals[model] += value + + if title in [ + "Tokenizer Memory (per model)", + "TransformerWeights Memory (per model)", + "RunState Memory (per user)", + ]: + # Add the totals to the table + total_row = ["Total"] + [f"{totals[model]:.2f}" for model in data.keys()] + file.write(" | ".join(total_row) + "\n") + else: + # Calculate max users for each model + # Calculate number of users for each model and add it to the data + number_of_users = {} + for model, values in data.items(): + total_available_memory = 4 * 1024 # Available canister memory in MB + total_tokenizer_memory = values["Total Tokenizer Memory (per model)"] + total_transformer_weights_memory = values[ + "Total TransformerWeights Memory (per model)" + ] + total_runstate_memory = values["Total RunState Memory (per user)"] + + number_of_users[model] = int( + ( + total_available_memory + - total_tokenizer_memory + - total_transformer_weights_memory + ) + / total_runstate_memory + ) + + # Write the markdown table for number of users + file.write("\n\n") + # Get the models for headers + headers = ["Canister Metrics"] + [f"{model}
(MB)" for model in data.keys()] + + # Write the table name + file.write("### Canister Metrics\n\n") + + # Write the headers + file.write(" | ".join(headers) + "\n") + file.write(" | ".join(["---"] * len(headers)) + "\n") + + row_data = ["Max number of concurrent users"] + [ + f"{number_of_users[model]}" for model in data.keys() + ] + file.write(" | ".join(row_data) + "\n") + + file.write("\n\n") + + +def main() -> int: + """Reads the model.bin files and summarizes the resource requirements.""" + file_paths: dict[str, Path] = { + "260K": ROOT_PATH / "stories260K/stories260K.bin", + "15M": ROOT_PATH / "models/stories15M.bin", + "42M": ROOT_PATH / "models/stories42M.bin", + "110M": ROOT_PATH / "models/stories110M.bin", + } + + data = {} + for key, file_path in file_paths.items(): + config: dict[str, int] = read_config_from_file(file_path) + data[key] = calculate_memory(config) + + output_path = ROOT_PATH / "README_icpp_llama2_resource_requirements.md" + with open(output_path, "w") as file: + file.write("# Canister resource requirements for icpp_llama2.") + file.write("\n") + file.write("\nDo not edit this file. It is created with the command: ") + file.write("\n```bash") + file.write("\npython -m scripts.icpp_llama2_sizer") + file.write("\n```\n\n") + for key in [ + "Tokenizer Memory (per model)", + "TransformerWeights Memory (per model)", + "RunState Memory (per user)", + "Total Memory", + ]: + subset_data = {k: v[key] for k, v in data.items()} + write_data(file, key, subset_data) + + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/icpp_llama2/scripts/parse_args.py b/icpp_llama2/scripts/parse_args.py new file mode 100644 index 0000000..5471ebc --- /dev/null +++ b/icpp_llama2/scripts/parse_args.py @@ -0,0 +1,68 @@ +"""Import command line arguments for the scripts.""" + +import argparse + + +def parse_args() -> argparse.Namespace: + """Returns the command line arguments""" + parser = argparse.ArgumentParser(description="Load a model and set parameters") + parser.add_argument( + "--network", + type=str, + default="local", + help="Network: ic or local", + ) + parser.add_argument( + "--canister", + type=str, + default="llama2", + help="canister name", + ) + parser.add_argument( + "--candid", + type=str, + default="src/llama2.did", + help="canister's candid file", + ) + parser.add_argument( + "--model", + type=str, + default="models/stories15M.bin", + help="Model file (e.g. models/stories15M.bin)", + ) + parser.add_argument( + "--tokenizer", + type=str, + default="tokenizers/tokenizer.bin", + help="Tokenizer file (e.g. tokenizers/tokenizer.bin)", + ) + parser.add_argument( + "--chunksize", + type=float, + default=1.9, + help="Chunk Size for upload, in Mb", + ) + parser.add_argument( + "--temperature", type=float, default=0.9, help="Temperature (e.g. 1.0, or 0.0)" + ) + parser.add_argument( + "--topp", + type=float, + default=1.0, + help="p value in top-p (nucleus) sampling. default 1.0 (=off)", + ) + parser.add_argument( + "--steps", + type=int, + default=256, + help="Max number of steps to run for, 0: use seq_len", + ) + parser.add_argument( + "--rng-seed", + type=int, + default=0, + help="seed, 0: use random seed based on time", + ) + + args = parser.parse_args() + return args diff --git a/icpp_llama2/scripts/requirements.txt b/icpp_llama2/scripts/requirements.txt new file mode 100644 index 0000000..84d67a8 --- /dev/null +++ b/icpp_llama2/scripts/requirements.txt @@ -0,0 +1,19 @@ +requests +pandas +pandas-stubs +jupyterlab +jupyterlab-lsp +jupyter-black +python-lsp-server[all] +python-dotenv +tabulate +black +mypy +pylint==2.13.9 +matplotlib +fastparquet +openpyxl +seaborn +google-api-python-client +google-auth-httplib2 +google-auth-oauthlib \ No newline at end of file diff --git a/icpp_llama2/scripts/upload.py b/icpp_llama2/scripts/upload.py new file mode 100644 index 0000000..2386c0c --- /dev/null +++ b/icpp_llama2/scripts/upload.py @@ -0,0 +1,231 @@ +"""Uploads stories15M.bin & tokenizer.bin to the canister. + +Run with: + + python -m scripts.upload +""" + +# pylint: disable=invalid-name, too-few-public-methods, no-member, too-many-statements + +import sys +from pathlib import Path +from typing import Generator +from .ic_py_canister import get_canister +from .parse_args import parse_args + +ROOT_PATH = Path(__file__).parent.parent + +# 0 - none +# 1 - minimal +# 2 - a lot +DEBUG_VERBOSE = 1 + + +# ------------------------------------------------------------------------------ +def read_file_bytes(file_path: Path) -> bytes: + """Returns the stories15M.bin file as a bytes array""" + file_bytes = b"" + try: + with open(file_path, "rb") as file: + file_bytes = file.read() + + except FileNotFoundError: + print(f"Unable to open the file {file_path}!") + + return file_bytes + + +def generate_chunks(data: bytes, chunk_size: int) -> Generator[bytes, None, None]: + """Generator function to iterate over chunks""" + for i in range(0, len(data), chunk_size): + yield data[i : i + chunk_size] + + +def main() -> int: + """Uploads the model.""" + + args = parse_args() + + network = args.network + canister_name = args.canister + candid_path = ROOT_PATH / args.candid + model_path = ROOT_PATH / args.model + tokenizer_path = ROOT_PATH / args.tokenizer + chunk_size_mb = args.chunksize + temperature = args.temperature + topp = args.topp + steps = args.steps + rng_seed = args.rng_seed + + dfx_json_path = ROOT_PATH / "dfx.json" + + print( + f"Summary of upload task:" + f"\n - network = {network}" + f"\n - canister = {canister_name}" + f"\n - dfx_json_path = {dfx_json_path}" + f"\n - candid_path = {candid_path}" + f"\n - model_path = {model_path}" + f"\n - tokenizer_path = {tokenizer_path}" + f"\n - temperature = {temperature}" + f"\n - topp = {topp}" + f"\n - steps = {steps}" + f"\n - rng_seed = {rng_seed}" + ) + + # --------------------------------------------------------------------------- + # get ic-py based Canister instance + canister_llama2 = get_canister(canister_name, candid_path, network) + + # check health (liveness) + print("--\nChecking liveness of canister (did we deploy it!)") + response = canister_llama2.health() + if response == [True]: + print("Ok!") + else: + print("Not OK, response is:") + print(response) + + # --------------------------------------------------------------------------- + # THE MODEL FILE + + # Read the model from disk + print(f"--\nReading the model file into a bytes object: {model_path}") + model_bytes = read_file_bytes(model_path) + + # Reset the model + print("--\nResetting the model in canister") + response = canister_llama2.reset_model() # pylint: disable=no-member + if "ok" in response[0].keys(): + if DEBUG_VERBOSE >= 2: + print("OK!") + else: + print("Something went wrong:") + print(response) + sys.exit() + + # Upload model_bytes to the canister + print(f"--\nUploading the model bytes, in {chunk_size_mb}Mb chunks") + + # converting MB to bytes + chunk_size = int(chunk_size_mb * 1024 * 1024) + + # Iterate over all chunks + count_bytes = 0 + for i, chunk in enumerate(generate_chunks(model_bytes, chunk_size)): + count_bytes += len(chunk) + if DEBUG_VERBOSE == 0: + pass + elif DEBUG_VERBOSE == 1: + print( + f"chunk size = {len(chunk)} bytes " + f"({count_bytes / len(model_bytes) * 100:.1f}%)" + ) + else: + print("+++++++++++++++++++++++++++++++++++++++++++++++++++++") + print(f"Sending candid for {len(chunk)} bytes :") + print(f"- i = {i}") + print(f"- progress = {count_bytes / len(model_bytes) * 100:.1f}% ") + print(f"- chunk[0] = {chunk[0]}") + print(f"- chunk[-1] = {chunk[-1]}") + + response = canister_llama2.upload_model_bytes_chunk( + chunk + ) # pylint: disable=no-member + if "ok" in response[0].keys(): + if DEBUG_VERBOSE >= 2: + print("OK!") + else: + print("Something went wrong:") + print(response) + sys.exit() + + # --------------------------------------------------------------------------- + # THE TOKENIZER FILE + + # Read the tokenizer from disk + print(f"--\nReading the tokenizer file into a bytes object: {tokenizer_path}") + tokenizer_bytes = read_file_bytes(tokenizer_path) + + # Reset the tokenizer + print("--\nResetting the tokenizer in canister") + response = canister_llama2.reset_tokenizer() # pylint: disable=no-member + if "ok" in response[0].keys(): + if DEBUG_VERBOSE >= 2: + print("OK!") + else: + print("Something went wrong:") + print(response) + sys.exit() + + # Upload tokenizer_bytes to the canister + print("--\nUploading the tokenizer bytes") + + # converting MB to bytes + chunk_size = int(chunk_size_mb * 1024 * 1024) + + # Iterate over all chunks + count_bytes = 0 + for i, chunk in enumerate(generate_chunks(tokenizer_bytes, chunk_size)): + count_bytes += len(chunk) + if DEBUG_VERBOSE == 0: + pass + elif DEBUG_VERBOSE == 1: + print( + f"chunk size = {len(chunk)} bytes " + f"({count_bytes / len(tokenizer_bytes) * 100:.1f}%)" + ) + else: + print("+++++++++++++++++++++++++++++++++++++++++++++++++++++") + print(f"Sending candid for {len(chunk)} bytes :") + print(f"- i = {i}") + print(f"- progress = {count_bytes / len(tokenizer_bytes) * 100:.1f} % ") + print(f"- chunk[0] = {chunk[0]}") + print(f"- chunk[-1] = {chunk[-1]}") + + response = canister_llama2.upload_tokenizer_bytes_chunk( + chunk + ) # pylint: disable=no-member + if "ok" in response[0].keys(): + print("OK!") + else: + print("Something went wrong:") + print(response) + sys.exit() + + # --------------------------------------------------------------------------- + # Initialize the canister + print("--\nInitializing the canister, getting it ready for inference.") + response = canister_llama2.initialize() + if "ok" in response[0].keys(): + if DEBUG_VERBOSE >= 2: + print("OK!") + else: + print("Something went wrong:") + print(response) + sys.exit() + + # --------------------------------------------------------------------------- + # check readiness for inference + print("--\nChecking if the canister is ready for inference.") + response = canister_llama2.ready() + if response[0] is True: + if DEBUG_VERBOSE >= 2: + print("OK!") + else: + print("Something went wrong:") + print(response) + sys.exit() + # --------------------------------------------------------------------------- + print("--\nCongratulations, your llama2 canister is ready for inference!") + try: + print("💯 🎉 🏁") + except UnicodeEncodeError: + print(" ") + + # --------------------------------------------------------------------------- + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/icpp_llama2/src/canister.cpp b/icpp_llama2/src/canister.cpp new file mode 100644 index 0000000..f97a4fb --- /dev/null +++ b/icpp_llama2/src/canister.cpp @@ -0,0 +1,79 @@ +// canister_init, and health & ready endpoints +#include "canister.h" + +#include +#include +#include + +#include "chats.h" +#include "http.h" +#include "ic_api.h" + +std::string *p_owner_principal{nullptr}; +bool ready_for_inference{false}; + +void set_owner(IC_API &ic_api) { + CandidTypePrincipal caller = ic_api.get_caller(); + + if (p_owner_principal == nullptr) { + p_owner_principal = new (std::nothrow) std::string(); + if (p_owner_principal == nullptr) { + IC_API::trap("Allocation of p_owner_principal failed"); + } + } + *p_owner_principal = caller.get_text(); + + // IC_API::debug_print(std::string(__func__) + + // ": owner_principal = " + *p_owner_principal); +} + +bool is_owner(IC_API &ic_api, bool err_to_wire) { + CandidTypePrincipal caller = ic_api.get_caller(); + if (caller.get_text() == *p_owner_principal) return true; + else { + IC_API::debug_print(std::string(__func__) + + ": ERROR - caller is not the owner."); + + if (err_to_wire) { + uint16_t status_code = Http::StatusCode::Unauthorized; + ic_api.to_wire(CandidTypeVariant{"err", CandidTypeNat16{status_code}}); + } + return false; + } +} + +void print_canister_metadata() { + std::string msg = std::string(__func__) + ":"; + msg += "\n*p_owner_principal = " + *p_owner_principal; + IC_API::debug_print(msg); +} + +// -------------------------------------------------------------------------------------------------- +// See: https://internetcomputer.org/docs/current/references/ic-interface-spec#system-api-init +// - This method will be called automatically during INITIAL deployment +void canister_init() { + IC_API ic_api(CanisterInit{std::string(__func__)}, false); + set_owner(ic_api); + + // Create a p_chats instance + new_p_chats(); + + // Create a p_metadata_users instance + new_p_metadata_users(); +} + +// -------------------------------------------------------------------------------------------------- +// health endpoint (liveness) +void health() { + IC_API ic_api(CanisterQuery{std::string(__func__)}, false); + IC_API::debug_print("llama2 is healthy!"); + ic_api.to_wire(CandidTypeBool{true}); +} + +// readiness endpoint (ready for inference) +void ready() { + IC_API ic_api(CanisterQuery{std::string(__func__)}, false); + IC_API::debug_print("llama2 readiness for inference = " + + std::to_string(ready_for_inference)); + ic_api.to_wire(CandidTypeBool{ready_for_inference}); +} \ No newline at end of file diff --git a/icpp_llama2/src/canister.h b/icpp_llama2/src/canister.h new file mode 100644 index 0000000..3f9b7c6 --- /dev/null +++ b/icpp_llama2/src/canister.h @@ -0,0 +1,14 @@ +#pragma once + +#include "ic_api.h" +#include "wasm_symbol.h" +#include + +extern std::string *p_owner_principal; +extern bool ready_for_inference; + +bool is_owner(IC_API &ic_api, bool err_to_wire = true); + +void canister_init() WASM_SYMBOL_EXPORTED("canister_init"); +void health() WASM_SYMBOL_EXPORTED("canister_query health"); +void ready() WASM_SYMBOL_EXPORTED("canister_query ready"); \ No newline at end of file diff --git a/icpp_llama2/src/chats.cpp b/icpp_llama2/src/chats.cpp new file mode 100644 index 0000000..c62e74a --- /dev/null +++ b/icpp_llama2/src/chats.cpp @@ -0,0 +1,147 @@ +// Maintain one chat per user (principal) in Orthogonal Persistence + +#include "chats.h" +#include "canister.h" +#include "http.h" +#include "ic_api.h" + +// umap for Orthogonally Persisted chat data, per principal +Chats *p_chats{nullptr}; +MetadataUsers *p_metadata_users{nullptr}; + +// Create a p_chats instance if not yet done +void new_p_chats() { + if (p_chats == nullptr) { + IC_API::debug_print(std::string(__func__) + ": Creating p_chats instance."); + p_chats = new (std::nothrow) Chats(); + if (p_chats == nullptr) { + IC_API::trap("Allocation of p_chats failed"); + } + } +} + +// Delete the p_chats instance +void delete_p_chats() { + if (p_chats) { + for (auto &pair : p_chats->umap) { + const std::string &principal = pair.first; + Chat &chat = pair.second; + free_run_state(&chat.state); + } + delete p_chats; + p_chats = nullptr; + } +} + +// Create a p_metadata_users instance if not yet done +void new_p_metadata_users() { + if (p_metadata_users == nullptr) { + IC_API::debug_print(std::string(__func__) + + ": Creating p_metadata_users instance."); + p_metadata_users = new (std::nothrow) MetadataUsers(); + if (p_metadata_users == nullptr) { + IC_API::trap("Allocation of p_metadata_users failed"); + } + } +} + +// Delete the p_metadata_users instance +void delete_p_metadata_users() { + if (p_metadata_users) { + delete p_metadata_users; + p_metadata_users = nullptr; + } +} + +void init_run_state(RunState *s) { + s->x = nullptr; + s->xb = nullptr; + s->xb2 = nullptr; + s->hb = nullptr; + s->hb2 = nullptr; + s->q = nullptr; + s->k = nullptr; + s->v = nullptr; + s->att = nullptr; + s->logits = nullptr; + s->key_cache = nullptr; + s->value_cache = nullptr; +} + +void build_new_chat(std::string principal) { + // -------------------------------------------------------------------------- + // Create entries for this principal in the persisted memory, if not yet done + if (p_chats && p_chats->umap.find(principal) == p_chats->umap.end()) { + // Does not yet exist + Chat chat; + init_run_state(&chat.state); + p_chats->umap[principal] = chat; + } + + if (p_metadata_users && + p_metadata_users->umap.find(principal) == p_metadata_users->umap.end()) { + // Does not yet exist + MetadataUser metadata_user; + p_metadata_users->umap[principal] = metadata_user; + } + + // -------------------------------------------------------------------------- + // The New Chat data + Chat *chat = &p_chats->umap[principal]; + free_run_state(&chat->state); + malloc_run_state(&chat->state, &transformer.config); + + //initialize the next token predicted on pos 0 to the BOS token (1) + chat->next = 1; + chat->pos = 0; + + //icpp: initialize to add begin-of-sentence + chat->bos = 1; // We no longer use this... + chat->eos = 0; + + //icpp: initialize total_steps + chat->total_steps = 0; + + // -------------------------------------------------------------------------- + // The New Chat metadata + MetadataUser *metadata_user = &p_metadata_users->umap[principal]; + MetadataChat metadata_chat; + metadata_chat.start_time = IC_API::time(); // time in ns + metadata_user->metadata_chats.push_back(metadata_chat); +} + +bool is_ready_and_authorized(IC_API ic_api) { + + if (!ready_for_inference) { + ic_api.to_wire(CandidTypeVariant{ + "err", CandidTypeText{ + "The Llama2 canister is not (yet) ready for inference."}}); + return false; + } + + // Anonymous user is not allowed + CandidTypePrincipal caller = ic_api.get_caller(); + if (caller.is_anonymous()) { + ic_api.to_wire(CandidTypeVariant{ + "err", + CandidTypeText{ + "The Llama2 canister does not allow calling with anonymous principal."}}); + return false; + } + + return true; +} + +// Endpoint to be called by user when starting a new chat +void new_chat() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_ready_and_authorized(ic_api)) return; + + CandidTypePrincipal caller = ic_api.get_caller(); + std::string principal = caller.get_text(); + + build_new_chat(principal); + + ic_api.to_wire( + CandidTypeVariant{"ok", CandidTypeNat16{Http::StatusCode::OK}}); +} \ No newline at end of file diff --git a/icpp_llama2/src/chats.h b/icpp_llama2/src/chats.h new file mode 100644 index 0000000..a50dbe0 --- /dev/null +++ b/icpp_llama2/src/chats.h @@ -0,0 +1,51 @@ +#pragma once + +#include +#include + +#include "ic_api.h" +#include "run.h" +#include "wasm_symbol.h" + +void new_chat() WASM_SYMBOL_EXPORTED("canister_update new_chat"); + +// Orthogonally persisted user data +// --- +// Chats: For each registered user, data of their currently active chat +// (-) A user can have only 1 active chat at a time +// (-) Multiple users can be chatting at the same time +// (-) When a user starts a new chat, their previous ActiveChat will be cleared +// Note: Chat is a struct defined in run.h, because it needs to be available to run.c +class Chats { +public: + std::unordered_map umap; +}; +extern Chats *p_chats; + +// --- +// Some minimal usage data: umap[principal, MetaDataChat] + +// Metadata for the full chat, which can be one or more prompts +struct MetadataChat { + uint64_t start_time{0}; // time in ns + uint64_t total_steps{0}; // total number of steps (=tokens) +}; + +// Metadata for the User, containing a vector of all chats' metadata +struct MetadataUser { + std::vector metadata_chats; +}; + +class MetadataUsers { +public: + std::unordered_map umap; +}; +extern MetadataUsers *p_metadata_users; +// --- + +void new_p_chats(); +void delete_p_chats(); +void new_p_metadata_users(); +void delete_p_metadata_users(); +void build_new_chat(std::string principal); +bool is_ready_and_authorized(IC_API ic_api); \ No newline at end of file diff --git a/icpp_llama2/src/http.cpp b/icpp_llama2/src/http.cpp new file mode 100644 index 0000000..3f93e0a --- /dev/null +++ b/icpp_llama2/src/http.cpp @@ -0,0 +1,5 @@ +// Endpoints return familiar HTTP status codes in case of errors +#include "http.h" + +Http::Http() {} +Http::~Http() {} diff --git a/icpp_llama2/src/http.h b/icpp_llama2/src/http.h new file mode 100644 index 0000000..e114c84 --- /dev/null +++ b/icpp_llama2/src/http.h @@ -0,0 +1,79 @@ +#pragma once + +#include + +class Http { +public: + Http(); + ~Http(); + + enum StatusCode : uint16_t { + Continue = 100, + SwitchingProtocols = 101, + Processing = 102, + EarlyHints = 103, + + OK = 200, + Created = 201, + Accepted = 202, + NonAuthoritativeInfo = 203, + NoContent = 204, + ResetContent = 205, + PartialContent = 206, + MultiStatus = 207, + AlreadyReported = 208, + IMUsed = 226, + + MultipleChoices = 300, + MovedPermanently = 301, + Found = 302, + SeeOther = 303, + NotModified = 304, + UseProxy = 305, + + TemporaryRedirect = 307, + PermanentRedirect = 308, + + BadRequest = 400, + Unauthorized = 401, + PaymentRequired = 402, + Forbidden = 403, + NotFound = 404, + MethodNotAllowed = 405, + NotAcceptable = 406, + ProxyAuthRequired = 407, + RequestTimeout = 408, + Conflict = 409, + Gone = 410, + LengthRequired = 411, + PreconditionFailed = 412, + RequestEntityTooLarge = 413, + RequestURITooLong = 414, + UnsupportedMediaType = 415, + RequestedRangeNotSatisfiable = 416, + ExpectationFailed = 417, + Teapot = 418, + MisdirectedRequest = 421, + UnprocessableEntity = 422, + Locked = 423, + FailedDependency = 424, + TooEarly = 425, + UpgradeRequired = 426, + PreconditionRequired = 428, + TooManyRequests = 429, + RequestHeaderFieldsTooLarge = 431, + UnavailableForLegalReasons = 451, + + InternalServerError = 500, + NotImplemented = 501, + BadGateway = 502, + ServiceUnavailable = 503, + GatewayTimeout = 504, + HTTPVersionNotSupported = 505, + VariantAlsoNegotiates = 506, + InsufficientStorage = 507, + LoopDetected = 508, + NotExtended = 510, + NetworkAuthenticationRequired = 511 + }; +}; \ No newline at end of file diff --git a/icpp_llama2/src/inference.cpp b/icpp_llama2/src/inference.cpp new file mode 100644 index 0000000..36f1627 --- /dev/null +++ b/icpp_llama2/src/inference.cpp @@ -0,0 +1,235 @@ +// Inference endpoint generating a token string for a given prompt + +#include "inference.h" + +#include +#include +#include + +#include "canister.h" +#include "chats.h" +#include "http.h" +#include "initialize.h" +#include "run.h" +#include "upload.h" + +#include "ic_api.h" + +class Prompt { +public: + std::string prompt{""}; + uint64_t steps{256}; + float temperature{1.0}; + float topp{0.9}; + uint64_t rng_seed{0}; +}; + +void print_prompt(const Prompt &wire_prompt) { + std::string msg = std::string(__func__) + "- model config:"; + msg += "\nwire_prompt.prompt = " + wire_prompt.prompt; + msg += "\nwire_prompt.steps = " + std::to_string(wire_prompt.steps); + msg += + "\nwire_prompt.temperature = " + std::to_string(wire_prompt.temperature); + msg += "\nwire_prompt.topp = " + std::to_string(wire_prompt.topp); + msg += "\nwire_prompt.rng_seed = " + std::to_string(wire_prompt.rng_seed); + IC_API::debug_print(msg); +} + +// Replacement for run.c safe_printf +std::string safe_stringify(const char *piece) { + std::string result; + + // piece might be a raw byte token, and we only want to convert printable chars or whitespace + // because some of the other bytes can be various control codes, backspace, etc. + if (piece == NULL) { + return result; + } + + if (piece[0] == '\0') { + return result; + } + + if (piece[1] == '\0') { + unsigned char byte_val = piece[0]; + if (!(isprint(byte_val) || isspace(byte_val))) { + return result; // bad byte, don't include it in the result + } + } + + result = piece; // Assign the valid string to the result + return result; +} + +// Copied from run.c and modified slightly +std::string generate(IC_API ic_api, Chat *chat, Transformer *transformer, + Tokenizer *tokenizer, Sampler *sampler, std::string prompt, + int steps) { + std::string output; + + // encode the (string) prompt into tokens sequence + int num_prompt_tokens = 0; + + // +3 for '\0', ?BOS, ?EOS + int *prompt_tokens = (int *)malloc((prompt.length() + 3) * sizeof(int)); + if (!prompt_tokens) + IC_API::trap("Failed to allocate memory for prompt_tokens."); + // We do not pass bos, but next, which is 1 after new_chat, else last token of previous call + encode(tokenizer, prompt.c_str(), chat->next, chat->eos, prompt_tokens, + &num_prompt_tokens); + + // icpp: make sure we do not re-add bos next time, unless reset by new_chat + chat->bos = 0; + chat->eos = 0; + + int token = chat->next; // token that was predicted last, or BOS + int pos = chat->pos; // position in the total sequence + int prompt_pos = 0; // position in the current prompt + // if (num_prompt_tokens > 0) { + // token = prompt_tokens + // [prompt_pos]; // kick off with the first token in the prompt + // } + + chat->total_steps += num_prompt_tokens + steps; + // override to ~max length + if (chat->total_steps > transformer->config.seq_len) + chat->total_steps = transformer->config.seq_len; + + // start the main loop + long start = + 0; // used to time our code, only initialized after first iteration + int next; // will store the next token in the sequence + // icpp: use -1, so the exact prompt will be returned when steps is 0 + // this is critical when building the prompt in multiple calls + while (pos < chat->total_steps - 1) { + + // forward the transformer to get logits for the next token + float *logits = forward(chat, transformer, token, pos); + + // advance the state state machine + if (prompt_pos < num_prompt_tokens - 1) { + // if we are still processing the input prompt, force the next prompt token + next = prompt_tokens[prompt_pos + 1]; + prompt_pos++; + } else { + // icpp: stop if we have exhausted the prompt_tokens, and caller did not ask for + // any additional steps to be generated + if (steps == 0) { + break; + } + // otherwise sample the next token from the logits + next = sample(sampler, logits); + } + pos++; + + // data-dependent terminating condition: the BOS (=1) token delimits sequences + if (next == 1) { + break; + } + + // print the token as string, decode it with the Tokenizer object + char *piece = decode(tokenizer, token, next); + // safe_printf(piece); // same as printf("%s", piece), but skips "unsafe" bytes + output += safe_stringify(piece); + + // fflush(stdout); + token = next; + + // safe state in the chat, used in follow-up calls to the endpoint + chat->next = next; + chat->pos = pos; + + // init the timer here because the first iteration can be slower + // if (start == 0) { start = time_in_ms(); } + } + // printf("\n"); + // output += "\n"; // icpp: don't do this... we're continuining in next call + + // report achieved tok/s (pos-1 because the timer starts after first iteration) + // if (pos > 1) { + // long end = time_in_ms(); + // fprintf(stderr, "achieved tok/s: %f\n", (pos-1) / (double)(end-start)*1000); + // } + + free(prompt_tokens); + + return output; +} + +// Based on a given prompt, llama2 will generate a token string +void inference() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_ready_and_authorized(ic_api)) return; + + CandidTypePrincipal caller = ic_api.get_caller(); + std::string principal = caller.get_text(); + + if (p_chats && p_chats->umap.find(principal) == p_chats->umap.end()) { + // Does not yet exist + build_new_chat(principal); + } + Chat *chat = &p_chats->umap[principal]; + + // Get the Prompt from the wire + Prompt wire_prompt; + CandidTypeRecord r_in; + r_in.append("prompt", CandidTypeText{&wire_prompt.prompt}); + r_in.append("steps", CandidTypeNat64{&wire_prompt.steps}); + r_in.append("temperature", CandidTypeFloat32{&wire_prompt.temperature}); + r_in.append("topp", CandidTypeFloat32{&wire_prompt.topp}); + r_in.append("rng_seed", CandidTypeNat64{&wire_prompt.rng_seed}); + ic_api.from_wire(r_in); + // print_prompt(wire_prompt); + + // parameter validation/overrides + if (wire_prompt.rng_seed <= 0) + wire_prompt.rng_seed = ic_api.time(); // time in ns + if (wire_prompt.temperature < 0.0) wire_prompt.temperature = 0.0; + if (wire_prompt.topp < 0.0 || 1.0 < wire_prompt.topp) wire_prompt.topp = 0.9; + if (wire_prompt.steps < 0) wire_prompt.steps = 0; + + // icpp: if caller provides a prompt , set bos & eos + // if (wire_prompt.prompt.size() > 0) { + // transformer.bos = 1; + // transformer.eos = 1; + // } + + // icpp: We treat 'steps' as additional steps to generate + // Do this check inside generate method + // if (wire_prompt.steps == 0 || wire_prompt.steps > transformer.config.seq_len) + // wire_prompt.steps = transformer.config.seq_len; // override to ~max length + // IC_API::debug_print("--\nAfter parameter validation/overrides."); + // print_prompt(wire_prompt); + + // build the Sampler + Sampler sampler; + build_sampler(&sampler, transformer.config.vocab_size, + wire_prompt.temperature, wire_prompt.topp, + wire_prompt.rng_seed); + + // run! + std::string output; + // if (mode == "generate") { + output += generate(ic_api, chat, &transformer, &tokenizer, &sampler, + wire_prompt.prompt, wire_prompt.steps); + // } else if (mode =="chat") { + // chat(&transformer, &tokenizer, &sampler, prompt, system_prompt, steps); + // } else { + // IC_API::trap("unsupported mode: " + mode); + // } + + // Now we have the total_steps, stored with the chat + // And we can update the metadata_user + MetadataUser *metadata_user = &p_metadata_users->umap[principal]; + if (!metadata_user->metadata_chats.empty()) { + MetadataChat &metadata_chat = metadata_user->metadata_chats.back(); + metadata_chat.total_steps += chat->total_steps; + } + + // memory and file handles cleanup + free_sampler(&sampler); + + // IC_API::debug_print(output); + + // Return the generated response + ic_api.to_wire(CandidTypeVariant{"ok", CandidTypeText{output}}); +} diff --git a/icpp_llama2/src/inference.h b/icpp_llama2/src/inference.h new file mode 100644 index 0000000..a4f3519 --- /dev/null +++ b/icpp_llama2/src/inference.h @@ -0,0 +1,6 @@ +#pragma once + +#include "wasm_symbol.h" +#include + +void inference() WASM_SYMBOL_EXPORTED("canister_update inference"); \ No newline at end of file diff --git a/icpp_llama2/src/initialize.cpp b/icpp_llama2/src/initialize.cpp new file mode 100644 index 0000000..a39c8d7 --- /dev/null +++ b/icpp_llama2/src/initialize.cpp @@ -0,0 +1,214 @@ +// Initializes llama2's config, weights & tokenizer with the uploaded file-bytes + +#include "initialize.h" + +#include +#include +#include + +#include "canister.h" +#include "chats.h" +#include "http.h" +#include "ic_api.h" +#include "upload.h" + +#include "run.h" + +// Orthogonally persisted model data +Transformer transformer; +Tokenizer tokenizer; + +// ----------------------------------------------------------------------- + +// This is an exact copy of code in this method run.c, +// Modified to read the data from the uploaded tokenizer.bin bytes +void build_tokenizer(Tokenizer *t, int vocab_size) { + // i should have written the vocab_size into the tokenizer file... sigh + t->vocab_size = vocab_size; + // malloc space to hold the scores and the strings + t->vocab = (char **)malloc(vocab_size * sizeof(char *)); + if (!t->vocab) IC_API::trap("Failed to allocate memory for vocab."); + t->vocab_scores = (float *)malloc(vocab_size * sizeof(float)); + if (!t->vocab_scores) + IC_API::trap("Failed to allocate memory for vocab_scores."); + for (int i = 0; i < 256; i++) { + t->byte_pieces[i * 2] = (unsigned char)i; + t->byte_pieces[i * 2 + 1] = '\0'; + } + + // read in the file + // FILE *file = fopen(tokenizer_path, "rb"); + // if (!file) { + // fprintf(stderr, "couldn't load %s\n", tokenizer_path); + // exit(EXIT_FAILURE); + // } + // create a pointer to the start of the vector data + const uint8_t *data_ptr = p_tokenizer_bytes->vec.data(); + + // if (fread(&t->max_token_length, sizeof(int), 1, file) != 1) { + // fprintf(stderr, "failed read\n"); + // exit(EXIT_FAILURE); + // } + // read max_token_length from data + memcpy(&t->max_token_length, data_ptr, sizeof(int)); + data_ptr += sizeof(int); + + int len; + for (int i = 0; i < vocab_size; i++) { + // if (fread(t->vocab_scores + i, sizeof(float), 1, file) != 1) { + // fprintf(stderr, "failed read\n"); + // exit(EXIT_FAILURE); + // } + memcpy(t->vocab_scores + i, data_ptr, sizeof(float)); + data_ptr += sizeof(float); + + // if (fread(&len, sizeof(int), 1, file) != 1) { + // fprintf(stderr, "failed read\n"); + // exit(EXIT_FAILURE); + // } + memcpy(&len, data_ptr, sizeof(int)); + data_ptr += sizeof(int); + + t->vocab[i] = (char *)malloc(len + 1); + if (!t->vocab[i]) + IC_API::trap("Failed to allocate memory for vocab[" + std::to_string(i) + + "]."); + // if (fread(t->vocab[i], len, 1, file) != 1) { + // fprintf(stderr, "failed read\n"); + // exit(EXIT_FAILURE); + // } + memcpy(t->vocab[i], data_ptr, len); + data_ptr += len; + + t->vocab[i][len] = '\0'; // add the string terminating token + } + // fclose(file); + + // Do this now, and not lazily + // malloc and sort the vocabulary + t->sorted_vocab = (TokenIndex *)malloc(t->vocab_size * sizeof(TokenIndex)); + if (!t->sorted_vocab) + IC_API::trap("Failed to allocate memory for sorted_vocab."); + + for (int i = 0; i < t->vocab_size; i++) { + t->sorted_vocab[i].str = t->vocab[i]; + t->sorted_vocab[i].id = i; + } + qsort(t->sorted_vocab, t->vocab_size, sizeof(TokenIndex), compare_tokens); +} + +// This is an exact copy of code in these methods of run.c +// - read_checkpoint +// - build_transformer +// - free_transformer +// Modified to read the data from the uploaded tokenizer.bin bytes +void read_checkpoint(Config *config, TransformerWeights *weights) { + // FILE *file = fopen(checkpoint, "rb"); + // if (!file) { + // fprintf(stderr, "Couldn't open file %s\n", checkpoint); + // exit(EXIT_FAILURE); + // } + // // read in the config header + // if (fread(config, sizeof(Config), 1, file) != 1) { + // exit(EXIT_FAILURE); + // } + // Copy the data into config + int *data = reinterpret_cast(p_model_bytes->vec.data()); + memcpy(config, data, sizeof(Config)); + + IC_API::debug_print("-------------------------------------"); + IC_API::debug_print("config.dim = " + std::to_string(config->dim)); + IC_API::debug_print("config.hidden_dim = " + + std::to_string(config->hidden_dim)); + IC_API::debug_print("config.n_layers = " + + std::to_string(config->n_layers)); + IC_API::debug_print("config.n_heads = " + std::to_string(config->n_heads)); + IC_API::debug_print("config.n_kv_heads = " + + std::to_string(config->n_kv_heads)); + IC_API::debug_print("config.vocab_size = " + + std::to_string(config->vocab_size)); + IC_API::debug_print("config.seq_len = " + std::to_string(config->seq_len)); + IC_API::debug_print("-------------------------------------"); + + // negative vocab size is hacky way of signaling unshared weights. bit yikes. + int shared_weights = config->vocab_size > 0 ? 1 : 0; + config->vocab_size = abs(config->vocab_size); + // // figure out the file size + // fseek(file, 0, SEEK_END); // move file pointer to end of file + // *file_size = ftell(file); // get the file size, in bytes + // fclose(file); + // // memory map the Transformer weights into the data pointer + // *fd = open(checkpoint, O_RDONLY); // open in read only mode + // if (*fd == -1) { + // fprintf(stderr, "open failed!\n"); + // exit(EXIT_FAILURE); + // } + // *data = mmap(NULL, *file_size, PROT_READ, MAP_PRIVATE, *fd, 0); + // if (*data == MAP_FAILED) { + // fprintf(stderr, "mmap failed!\n"); + // exit(EXIT_FAILURE); + // } + // float *weights_ptr = *data + sizeof(Config) / sizeof(float); + // Copy the data into weights + float *weights_ptr = + reinterpret_cast(data + sizeof(Config) / sizeof(int)); + + memory_map_weights(weights, config, weights_ptr, shared_weights); +} + +void build_transformer(Transformer *t) { + // read in the Config and the Weights from the checkpoint + read_checkpoint(&t->config, &t->weights); + + // icpp: moved into build_active_chat + // // allocate the RunState buffers + // malloc_run_state(&t->state, &t->config); + + // //icpp: initialize the token generation settings + // reset_tokens(t); +} + +void initialize() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_owner(ic_api)) return; + + build_transformer(&transformer); + build_tokenizer(&tokenizer, transformer.config.vocab_size); + + ready_for_inference = true; + + ic_api.to_wire( + CandidTypeVariant{"ok", CandidTypeNat16{Http::StatusCode::OK}}); +} + +void print_config() { + Config config = transformer.config; + std::string msg = std::string(__func__) + "model config:"; + msg += "\nconfig.dim = " + std::to_string(config.dim); + msg += "\nconfig.hidden_dim = " + std::to_string(config.hidden_dim); + msg += "\nconfig.n_layers = " + std::to_string(config.n_layers); + msg += "\nconfig.n_heads = " + std::to_string(config.n_heads); + msg += "\nconfig.n_kv_heads = " + std::to_string(config.n_kv_heads); + msg += "\nconfig.vocab_size = " + std::to_string(config.vocab_size); + msg += "\nconfig.seq_len = " + std::to_string(config.seq_len); + IC_API::debug_print(msg); +} + +void get_model_config() { + IC_API ic_api(CanisterQuery{std::string(__func__)}, false); + CandidTypePrincipal caller = ic_api.get_caller(); + std::string principal = caller.get_text(); + + print_config(); + + CandidTypeRecord r_out; + Config config = transformer.config; + r_out.append("dim", CandidTypeInt{config.dim}); + r_out.append("hidden_dim", CandidTypeInt{config.hidden_dim}); + r_out.append("n_layers", CandidTypeInt{config.n_layers}); + r_out.append("n_heads", CandidTypeInt{config.n_heads}); + r_out.append("n_kv_heads", CandidTypeInt{config.n_kv_heads}); + r_out.append("vocab_size", CandidTypeInt{config.vocab_size}); + r_out.append("seq_len", CandidTypeInt{config.seq_len}); + ic_api.to_wire(r_out); +} \ No newline at end of file diff --git a/icpp_llama2/src/initialize.h b/icpp_llama2/src/initialize.h new file mode 100644 index 0000000..58a8559 --- /dev/null +++ b/icpp_llama2/src/initialize.h @@ -0,0 +1,9 @@ +#pragma once + +#include "wasm_symbol.h" +#include + +#include "run.h" + +void initialize() WASM_SYMBOL_EXPORTED("canister_update initialize"); +void get_model_config() WASM_SYMBOL_EXPORTED("canister_query get_model_config"); \ No newline at end of file diff --git a/icpp_llama2/src/llama2.did b/icpp_llama2/src/llama2.did new file mode 100644 index 0000000..fa2a5c3 --- /dev/null +++ b/icpp_llama2/src/llama2.did @@ -0,0 +1,56 @@ +// Candid interface of the canister endpoints +// https://internetcomputer.org/docs/current/references/candid-ref/ + +type Prompt = + record { + prompt : text; + steps : nat64; + temperature : float32; + topp : float32; + rng_seed : nat64; + }; + +type Inference = + variant { + err: text; + ok: text; + }; + +type Config = + record { + dim : int; + hidden_dim : int; + n_layers : int; + n_heads : int; + n_kv_heads : int; + vocab_size : int; + seq_len : int; + }; + +type StatusCode = nat16; + +type Result = + variant { + err: StatusCode; + ok: StatusCode; + }; + +type ChatStartTime = nat64; +type ChatTotalSteps = nat64; + +service : { + canister_init: () -> (); + health: () -> (bool); + ready: () -> (bool); + reset_model: () -> (Result); + reset_tokenizer: () -> (Result); + upload_model_bytes_chunk: (vec nat8) -> (Result); + upload_tokenizer_bytes_chunk: (vec nat8) -> (Result); + initialize: () -> (Result); + new_chat: () -> (Result); + get_model_config: () -> (Config) query; + inference: (Prompt) -> (Inference); + get_user_count: () -> (nat64) query; + get_user_ids: () -> (vec text) query; + get_user_metadata: (text) -> (vec ChatStartTime, vec ChatTotalSteps) query; +} \ No newline at end of file diff --git a/icpp_llama2/src/run.c b/icpp_llama2/src/run.c new file mode 100644 index 0000000..be48369 --- /dev/null +++ b/icpp_llama2/src/run.c @@ -0,0 +1,1018 @@ +/* Inference for Llama-2 Transformer model in pure C */ +/* +Slightly modified copy from: https://github.com/karpathy/llama2.c + +(-) Externalized declarations into "run.h", for use by the Canister's C++ code. +(-) Avoid using printf +(-) No main function +(-) No reading of files + -> They are uploaded separately to the canister and stored in memory (See README) + +That's it. Everything else is identical... + +*/ +// clang-format off +#include "run.h" // ICPP + +#include +#include +#include +#include +#include +#include +#include +// ICPP: no need for mmap to get data from files. +// we already have all bytes uploaded & store in a +// std::vector that is orthogonally persisted +// #if defined _WIN32 +// #include "win.h" +// #else +// #include +// #include +// #endif + +// ---------------------------------------------------------------------------- +// Transformer model + +// Moved into run.h +// typedef struct { +// int dim; // transformer dimension +// int hidden_dim; // for ffn layers +// int n_layers; // number of layers +// int n_heads; // number of query heads +// int n_kv_heads; // number of key/value heads (can be < query heads because of multiquery) +// int vocab_size; // vocabulary size, usually 256 (byte-level) +// int seq_len; // max sequence length +// } Config; + +// typedef struct { +// // token embedding table +// float* token_embedding_table; // (vocab_size, dim) +// // weights for rmsnorms +// float* rms_att_weight; // (layer, dim) rmsnorm weights +// float* rms_ffn_weight; // (layer, dim) +// // weights for matmuls. note dim == n_heads * head_size +// float* wq; // (layer, dim, n_heads * head_size) +// float* wk; // (layer, dim, n_kv_heads * head_size) +// float* wv; // (layer, dim, n_kv_heads * head_size) +// float* wo; // (layer, n_heads * head_size, dim) +// // weights for ffn +// float* w1; // (layer, hidden_dim, dim) +// float* w2; // (layer, dim, hidden_dim) +// float* w3; // (layer, hidden_dim, dim) +// // final rmsnorm +// float* rms_final_weight; // (dim,) +// // (optional) classifier weights for the logits, on the last layer +// float* wcls; +// } TransformerWeights; + +// typedef struct { +// // current wave of activations +// float *x; // activation at current time stamp (dim,) +// float *xb; // same, but inside a residual branch (dim,) +// float *xb2; // an additional buffer just for convenience (dim,) +// float *hb; // buffer for hidden dimension in the ffn (hidden_dim,) +// float *hb2; // buffer for hidden dimension in the ffn (hidden_dim,) +// float *q; // query (dim,) +// float *k; // key (dim,) +// float *v; // value (dim,) +// float *att; // buffer for scores/attention values (n_heads, seq_len) +// float *logits; // output logits +// // kv cache +// float* key_cache; // (layer, seq_len, dim) +// float* value_cache; // (layer, seq_len, dim) +// } RunState; + +// typedef struct { +// Config config; // the hyperparameters of the architecture (the blueprint) +// TransformerWeights weights; // the weights of the model +// RunState state; // buffers for the "wave" of activations in the forward pass +// // some more state needed to properly clean up the memory mapping (sigh) +// int fd; // file descriptor for memory mapping +// float* data; // memory mapped data pointer +// ssize_t file_size; // size of the checkpoint file in bytes +// } Transformer; + +bool malloc_run_state(RunState* s, Config* p) { + // we calloc instead of malloc to keep valgrind happy + int kv_dim = (p->dim * p->n_kv_heads) / p->n_heads; + s->x = calloc(p->dim, sizeof(float)); + s->xb = calloc(p->dim, sizeof(float)); + s->xb2 = calloc(p->dim, sizeof(float)); + s->hb = calloc(p->hidden_dim, sizeof(float)); + s->hb2 = calloc(p->hidden_dim, sizeof(float)); + s->q = calloc(p->dim, sizeof(float)); + s->k = calloc(kv_dim, sizeof(float)); + s->v = calloc(kv_dim, sizeof(float)); + s->att = calloc(p->n_heads * p->seq_len, sizeof(float)); + s->logits = calloc(p->vocab_size, sizeof(float)); + s->key_cache = calloc(p->n_layers * p->seq_len * kv_dim, sizeof(float)); + s->value_cache = calloc(p->n_layers * p->seq_len * kv_dim, sizeof(float)); + // ensure all mallocs went fine + if (!s->x || !s->xb || !s->xb2 || !s->hb || !s->hb2 || !s->q + || !s->k || !s->v || !s->att || !s->logits || !s->key_cache + || !s->value_cache) { + // ICPP: The calling function will trap the canister with a message + // printf("malloc failed!\n"); + // exit(1); + return false; + } + return true; // ICPP: all is ok +} + +// icpp: Make it robust against not freeing twice +void free_run_state(RunState* s) { + if(s->x) { free(s->x); s->x = NULL; } + if(s->xb) { free(s->xb); s->xb = NULL; } + if(s->xb2) { free(s->xb2); s->xb2 = NULL; } + if(s->hb) { free(s->hb); s->hb = NULL; } + if(s->hb2) { free(s->hb2); s->hb2 = NULL; } + if(s->q) { free(s->q); s->q = NULL; } + if(s->k) { free(s->k); s->k = NULL; } + if(s->v) { free(s->v); s->v = NULL; } + if(s->att) { free(s->att); s->att = NULL; } + if(s->logits) { free(s->logits); s->logits = NULL; } + if(s->key_cache) { free(s->key_cache); s->key_cache = NULL; } + if(s->value_cache) { free(s->value_cache); s->value_cache = NULL; } +} + +void memory_map_weights(TransformerWeights *w, Config* p, float* ptr, int shared_weights) { + int head_size = p->dim / p->n_heads; + // make sure the multiplications below are done in 64bit to fit the parameter counts of 13B+ models + unsigned long long n_layers = p->n_layers; + w->token_embedding_table = ptr; + ptr += p->vocab_size * p->dim; + w->rms_att_weight = ptr; + ptr += n_layers * p->dim; + w->wq = ptr; + ptr += n_layers * p->dim * (p->n_heads * head_size); + w->wk = ptr; + ptr += n_layers * p->dim * (p->n_kv_heads * head_size); + w->wv = ptr; + ptr += n_layers * p->dim * (p->n_kv_heads * head_size); + w->wo = ptr; + ptr += n_layers * (p->n_heads * head_size) * p->dim; + w->rms_ffn_weight = ptr; + ptr += n_layers * p->dim; + w->w1 = ptr; + ptr += n_layers * p->dim * p->hidden_dim; + w->w2 = ptr; + ptr += n_layers * p->hidden_dim * p->dim; + w->w3 = ptr; + ptr += n_layers * p->dim * p->hidden_dim; + w->rms_final_weight = ptr; + ptr += p->dim; + ptr += p->seq_len * head_size / 2; // skip what used to be freq_cis_real (for RoPE) + ptr += p->seq_len * head_size / 2; // skip what used to be freq_cis_imag (for RoPE) + w->wcls = shared_weights ? w->token_embedding_table : ptr; +} + +// See initialize.cpp +// void read_checkpoint(char* checkpoint, Config* config, TransformerWeights* weights, +// int* fd, float** data, ssize_t* file_size) { +// FILE *file = fopen(checkpoint, "rb"); +// if (!file) { fprintf(stderr, "Couldn't open file %s\n", checkpoint); exit(EXIT_FAILURE); } +// // read in the config header +// if (fread(config, sizeof(Config), 1, file) != 1) { exit(EXIT_FAILURE); } +// // negative vocab size is hacky way of signaling unshared weights. bit yikes. +// int shared_weights = config->vocab_size > 0 ? 1 : 0; +// config->vocab_size = abs(config->vocab_size); +// // figure out the file size +// fseek(file, 0, SEEK_END); // move file pointer to end of file +// *file_size = ftell(file); // get the file size, in bytes +// fclose(file); +// // memory map the Transformer weights into the data pointer +// *fd = open(checkpoint, O_RDONLY); // open in read only mode +// if (*fd == -1) { fprintf(stderr, "open failed!\n"); exit(EXIT_FAILURE); } +// *data = mmap(NULL, *file_size, PROT_READ, MAP_PRIVATE, *fd, 0); +// if (*data == MAP_FAILED) { fprintf(stderr, "mmap failed!\n"); exit(EXIT_FAILURE); } +// float* weights_ptr = *data + sizeof(Config)/sizeof(float); +// memory_map_weights(weights, config, weights_ptr, shared_weights); +// } + +// See initialize.cpp +// void build_transformer(Transformer *t, char* checkpoint_path) { +// // read in the Config and the Weights from the checkpoint +// read_checkpoint(checkpoint_path, &t->config, &t->weights, &t->fd, &t->data, &t->file_size); +// // allocate the RunState buffers +// malloc_run_state(&t->state, &t->config); +// } + +// icpp: no file, and we track runstate in p_chats +// void free_transformer(Transformer* t) { + // close the memory mapping + // if (t->data != MAP_FAILED) { munmap(t->data, t->file_size); } + // if (t->fd != -1) { close(t->fd); } + // free the RunState buffers + // free_run_state(&t->state); +// } + +// ---------------------------------------------------------------------------- +// neural net blocks; the dynamics of the Transformer + +void rmsnorm(float* o, float* x, float* weight, int size) { + // calculate sum of squares + float ss = 0.0f; + for (int j = 0; j < size; j++) { + ss += x[j] * x[j]; + } + ss /= size; + ss += 1e-5f; + ss = 1.0f / sqrtf(ss); + // normalize and scale + for (int j = 0; j < size; j++) { + o[j] = weight[j] * (ss * x[j]); + } +} + +void softmax(float* x, int size) { + // find max value (for numerical stability) + float max_val = x[0]; + for (int i = 1; i < size; i++) { + if (x[i] > max_val) { + max_val = x[i]; + } + } + // exp and sum + float sum = 0.0f; + for (int i = 0; i < size; i++) { + x[i] = expf(x[i] - max_val); + sum += x[i]; + } + // normalize + for (int i = 0; i < size; i++) { + x[i] /= sum; + } +} + +void matmul(float* xout, float* x, float* w, int n, int d) { + // W (d,n) @ x (n,) -> xout (d,) + // by far the most amount of time is spent inside this little function + int i; + #pragma omp parallel for private(i) + for (i = 0; i < d; i++) { + float val = 0.0f; + for (int j = 0; j < n; j++) { + val += w[i * n + j] * x[j]; + } + xout[i] = val; + } +} + +float* forward(Chat *chat, Transformer* transformer, int token, int pos) { + + // a few convenience variables + Config* p = &transformer->config; + TransformerWeights* w = &transformer->weights; + RunState* s = &chat->state; + float *x = s->x; + int dim = p->dim; + int kv_dim = (p->dim * p->n_kv_heads) / p->n_heads; + int kv_mul = p->n_heads / p->n_kv_heads; // integer multiplier of the kv sharing in multiquery + int hidden_dim = p->hidden_dim; + int head_size = dim / p->n_heads; + + // copy the token embedding into x + float* content_row = w->token_embedding_table + token * dim; + memcpy(x, content_row, dim*sizeof(*x)); + + // forward all the layers + for(unsigned long long l = 0; l < p->n_layers; l++) { + + // attention rmsnorm + rmsnorm(s->xb, x, w->rms_att_weight + l*dim, dim); + + // qkv matmuls for this position + matmul(s->q, s->xb, w->wq + l*dim*dim, dim, dim); + matmul(s->k, s->xb, w->wk + l*dim*kv_dim, dim, kv_dim); + matmul(s->v, s->xb, w->wv + l*dim*kv_dim, dim, kv_dim); + + // RoPE relative positional encoding: complex-valued rotate q and k in each head + for (int i = 0; i < dim; i+=2) { + int head_dim = i % head_size; + float freq = 1.0f / powf(10000.0f, head_dim / (float)head_size); + float val = pos * freq; + float fcr = cosf(val); + float fci = sinf(val); + int rotn = i < kv_dim ? 2 : 1; // how many vectors? 2 = q & k, 1 = q only + for (int v = 0; v < rotn; v++) { + float* vec = v == 0 ? s->q : s->k; // the vector to rotate (query or key) + float v0 = vec[i]; + float v1 = vec[i+1]; + vec[i] = v0 * fcr - v1 * fci; + vec[i+1] = v0 * fci + v1 * fcr; + } + } + + // save key,value at this time step (pos) to our kv cache + int loff = l * p->seq_len * kv_dim; // kv cache layer offset for convenience + float* key_cache_row = s->key_cache + loff + pos * kv_dim; + float* value_cache_row = s->value_cache + loff + pos * kv_dim; + memcpy(key_cache_row, s->k, kv_dim * sizeof(*key_cache_row)); + memcpy(value_cache_row, s->v, kv_dim * sizeof(*value_cache_row)); + + // multihead attention. iterate over all heads + int h; + #pragma omp parallel for private(h) + for (h = 0; h < p->n_heads; h++) { + // get the query vector for this head + float* q = s->q + h * head_size; + // attention scores for this head + float* att = s->att + h * p->seq_len; + // iterate over all timesteps, including the current one + for (int t = 0; t <= pos; t++) { + // get the key vector for this head and at this timestep + float* k = s->key_cache + loff + t * kv_dim + (h / kv_mul) * head_size; + // calculate the attention score as the dot product of q and k + float score = 0.0f; + for (int i = 0; i < head_size; i++) { + score += q[i] * k[i]; + } + score /= sqrtf(head_size); + // save the score to the attention buffer + att[t] = score; + } + + // softmax the scores to get attention weights, from 0..pos inclusively + softmax(att, pos + 1); + + // weighted sum of the values, store back into xb + float* xb = s->xb + h * head_size; + memset(xb, 0, head_size * sizeof(float)); + for (int t = 0; t <= pos; t++) { + // get the value vector for this head and at this timestep + float* v = s->value_cache + loff + t * kv_dim + (h / kv_mul) * head_size; + // get the attention weight for this timestep + float a = att[t]; + // accumulate the weighted value into xb + for (int i = 0; i < head_size; i++) { + xb[i] += a * v[i]; + } + } + } + + // final matmul to get the output of the attention + matmul(s->xb2, s->xb, w->wo + l*dim*dim, dim, dim); + + // residual connection back into x + for (int i = 0; i < dim; i++) { + x[i] += s->xb2[i]; + } + + // ffn rmsnorm + rmsnorm(s->xb, x, w->rms_ffn_weight + l*dim, dim); + + // Now for FFN in PyTorch we have: self.w2(F.silu(self.w1(x)) * self.w3(x)) + // first calculate self.w1(x) and self.w3(x) + matmul(s->hb, s->xb, w->w1 + l*dim*hidden_dim, dim, hidden_dim); + matmul(s->hb2, s->xb, w->w3 + l*dim*hidden_dim, dim, hidden_dim); + + // SwiGLU non-linearity + for (int i = 0; i < hidden_dim; i++) { + float val = s->hb[i]; + // silu(x)=x*σ(x), where σ(x) is the logistic sigmoid + val *= (1.0f / (1.0f + expf(-val))); + // elementwise multiply with w3(x) + val *= s->hb2[i]; + s->hb[i] = val; + } + + // final matmul to get the output of the ffn + matmul(s->xb, s->hb, w->w2 + l*dim*hidden_dim, hidden_dim, dim); + + // residual connection + for (int i = 0; i < dim; i++) { + x[i] += s->xb[i]; + } + } + + // final rmsnorm + rmsnorm(x, x, w->rms_final_weight, dim); + + // classifier into logits + matmul(s->logits, x, w->wcls, p->dim, p->vocab_size); + return s->logits; +} + +// ---------------------------------------------------------------------------- +// The Byte Pair Encoding (BPE) Tokenizer that translates strings <-> tokens + +// typedef struct { +// char *str; +// int id; +// } TokenIndex; + +// typedef struct { +// char** vocab; +// float* vocab_scores; +// TokenIndex *sorted_vocab; +// int vocab_size; +// unsigned int max_token_length; +// unsigned char byte_pieces[512]; // stores all single-byte strings +// } Tokenizer; + +int compare_tokens(const void *a, const void *b) { + return strcmp(((TokenIndex*)a)->str, ((TokenIndex*)b)->str); +} + +// ICPP: see initialize.cpp +// void build_tokenizer(Tokenizer* t, char* tokenizer_path, int vocab_size) { +// // i should have written the vocab_size into the tokenizer file... sigh +// t->vocab_size = vocab_size; +// // malloc space to hold the scores and the strings +// t->vocab = (char**)malloc(vocab_size * sizeof(char*)); +// t->vocab_scores = (float*)malloc(vocab_size * sizeof(float)); +// t->sorted_vocab = NULL; // initialized lazily +// for (int i = 0; i < 256; i++) { +// t->byte_pieces[i * 2] = (unsigned char)i; +// t->byte_pieces[i * 2 + 1] = '\0'; +// } +// // read in the file +// FILE *file = fopen(tokenizer_path, "rb"); +// if (!file) { fprintf(stderr, "couldn't load %s\n", tokenizer_path); exit(EXIT_FAILURE); } +// if (fread(&t->max_token_length, sizeof(int), 1, file) != 1) { fprintf(stderr, "failed read\n"); exit(EXIT_FAILURE); } +// int len; +// for (int i = 0; i < vocab_size; i++) { +// if (fread(t->vocab_scores + i, sizeof(float), 1, file) != 1) { fprintf(stderr, "failed read\n"); exit(EXIT_FAILURE);} +// if (fread(&len, sizeof(int), 1, file) != 1) { fprintf(stderr, "failed read\n"); exit(EXIT_FAILURE); } +// t->vocab[i] = (char *)malloc(len + 1); +// if (fread(t->vocab[i], len, 1, file) != 1) { fprintf(stderr, "failed read\n"); exit(EXIT_FAILURE); } +// t->vocab[i][len] = '\0'; // add the string terminating token +// } +// fclose(file); +// } + +void free_tokenizer(Tokenizer* t) { + for (int i = 0; i < t->vocab_size; i++) { free(t->vocab[i]); } + free(t->vocab); + free(t->vocab_scores); + free(t->sorted_vocab); +} + +char* decode(Tokenizer* t, int prev_token, int token) { + char *piece = t->vocab[token]; + // following BOS (1) token, sentencepiece decoder strips any leading whitespace (see PR #89) + if (prev_token == 1 && piece[0] == ' ') { piece++; } + // careful, some tokens designate raw bytes, and look like e.g. '<0x01>' + // parse this and convert and return the actual byte + unsigned char byte_val; + if (sscanf(piece, "<0x%02hhX>", &byte_val) == 1) { + piece = (char*)t->byte_pieces + byte_val * 2; + } + return piece; +} + +// ICPP: replaced by safe_stringify in inference.cpp +// void safe_printf(char *piece) { +// // piece might be a raw byte token, and we only want to print printable chars or whitespace +// // because some of the other bytes can be various control codes, backspace, etc. +// if (piece == NULL) { return; } +// if (piece[0] == '\0') { return; } +// if (piece[1] == '\0') { +// unsigned char byte_val = piece[0]; +// if (!(isprint(byte_val) || isspace(byte_val))) { +// return; // bad byte, don't print it +// } +// } +// printf("%s", piece); +// } + +int str_lookup(char *str, TokenIndex *sorted_vocab, int vocab_size) { + // efficiently find the perfect match for str in vocab, return its index or -1 if not found + TokenIndex tok = { .str = str }; // acts as the key to search for + TokenIndex *res = bsearch(&tok, sorted_vocab, vocab_size, sizeof(TokenIndex), compare_tokens); + return res != NULL ? res->id : -1; +} + +void encode(Tokenizer* t, const char *text, int bos, int eos, int *tokens, int *n_tokens) { + // encode the string text (input) into an upper-bound preallocated tokens[] array + // bos != 0 means prepend the BOS token (=1), eos != 0 means append the EOS token (=2) + + // start at 0 tokens + *n_tokens = 0; + + // ICPP: We made sure this does not happen when calling encode. + if (text == NULL) { + return; + // fprintf(stderr, "cannot encode NULL text\n"); exit(EXIT_FAILURE); + } + + // ICPP: we do not want to do this lazily, because during a query, it is not stored + // instead, we do this as part of initialize.cpp + // if (t->sorted_vocab == NULL) { + // // lazily malloc and sort the vocabulary + // t->sorted_vocab = malloc(t->vocab_size * sizeof(TokenIndex)); + // for (int i = 0; i < t->vocab_size; i++) { + // t->sorted_vocab[i].str = t->vocab[i]; + // t->sorted_vocab[i].id = i; + // } + // qsort(t->sorted_vocab, t->vocab_size, sizeof(TokenIndex), compare_tokens); + // } + + // create a temporary buffer that will store merge candidates of always two consecutive tokens + // *2 for concat, +1 for null terminator +2 for UTF8 (in case max_token_length is 1) + char* str_buffer = malloc((t->max_token_length*2 +1 +2) * sizeof(char)); + if (!str_buffer) + return; // ICPP: allocation failed. Just return and it will trap + size_t str_len = 0; + + // add optional BOS (=1) token, if desired + // if (bos) tokens[(*n_tokens)++] = 1; + tokens[(*n_tokens)++] = bos; // icpp: 1 or last of previous call + + // add_dummy_prefix is true by default + // so prepend a dummy prefix token to the input string, but only if text != "" + // TODO: pretty sure this isn't correct in the general case but I don't have the + // energy to read more of the sentencepiece code to figure out what it's doing + if (text[0] != '\0') { + int dummy_prefix = str_lookup(" ", t->sorted_vocab, t->vocab_size); + tokens[(*n_tokens)++] = dummy_prefix; + } + + // Okay UTF-8 time. This will get messy. Here is the reference from Wikipedia: + // Code point ↔ UTF-8 conversion + // First code point Last code point Byte 1 Byte 2 Byte 3 Byte 4 + // U+0000 U+007F 0xxxxxxx + // U+0080 U+07FF 110xxxxx 10xxxxxx + // U+0800 U+FFFF 1110xxxx 10xxxxxx 10xxxxxx + // U+10000 U+10FFFF 11110xxx 10xxxxxx 10xxxxxx 10xxxxxx + + // process the raw (UTF-8) byte sequence of the input string + for (const char *c = text; *c != '\0'; c++) { + + // reset buffer if the current byte is ASCII or a leading byte + // 0xC0 is 11000000, so (*c & 0xC0) keeps the first 2 bits and zeros the rest + // 0x80 is 10000000 + // in UTF-8, all continuation bytes start with "10" in first two bits + // so in English this is: "if this byte is not a continuation byte" + if ((*c & 0xC0) != 0x80) { + // this byte must be either a leading byte (11...) or an ASCII char (0x...) + // => reset our location, as we're starting a new UTF-8 codepoint + str_len = 0; + } + + // append the current byte to the buffer + str_buffer[str_len++] = *c; // ++ is post-increment, incremented after this line + str_buffer[str_len] = '\0'; + + // while the next character is a continuation byte, continue appending + // but if there are too many of them, just stop to avoid overruning str_buffer size. + if ((*(c+1) & 0xC0) == 0x80 && str_len < 4) { + continue; + } + + // ok c+1 is not a continuation byte, so we've read in a full codepoint + int id = str_lookup(str_buffer, t->sorted_vocab, t->vocab_size); + + if (id != -1) { + // we found this codepoint in vocab, add it as a token + tokens[(*n_tokens)++] = id; + } else { + // byte_fallback encoding: just encode each byte as a token + // +3 is here because the first 3 vocab elements are , , + // so the individual bytes only start at index 3 + for (int i=0; i < str_len; i++) { + tokens[(*n_tokens)++] = (unsigned char)str_buffer[i] + 3; + } + } + str_len = 0; // protect against a sequence of stray UTF8 continuation bytes + } + + // merge the best consecutive pair each iteration, according the scores in vocab_scores + while (1) { + float best_score = -1e10; + int best_id = -1; + int best_idx = -1; + + for (int i=0; i < (*n_tokens-1); i++) { + // check if we can merge the pair (tokens[i], tokens[i+1]) + sprintf(str_buffer, "%s%s", t->vocab[tokens[i]], t->vocab[tokens[i+1]]); + int id = str_lookup(str_buffer, t->sorted_vocab, t->vocab_size); + if (id != -1 && t->vocab_scores[id] > best_score) { + // this merge pair exists in vocab! record its score and position + best_score = t->vocab_scores[id]; + best_id = id; + best_idx = i; + } + } + + if (best_idx == -1) { + break; // we couldn't find any more pairs to merge, so we're done + } + + // merge the consecutive pair (best_idx, best_idx+1) into new token best_id + tokens[best_idx] = best_id; + // delete token at position best_idx+1, shift the entire sequence back 1 + for (int i = best_idx+1; i < (*n_tokens-1); i++) { + tokens[i] = tokens[i+1]; + } + (*n_tokens)--; // token length decreased + } + + // add optional EOS (=2) token, if desired + if (eos) tokens[(*n_tokens)++] = 2; + + free(str_buffer); +} + +// ---------------------------------------------------------------------------- +// The Sampler, which takes logits and returns a sampled token +// sampling can be done in a few ways: greedy argmax, sampling, top-p sampling +// +// typedef struct { +// float prob; +// int index; +// } ProbIndex; // struct used when sorting probabilities during top-p sampling + +// typedef struct { +// int vocab_size; +// ProbIndex* probindex; // buffer used in top-p sampling +// float temperature; +// float topp; +// unsigned long long rng_state; +// } Sampler; + +int sample_argmax(float* probabilities, int n) { + // return the index that has the highest probability + int max_i = 0; + float max_p = probabilities[0]; + for (int i = 1; i < n; i++) { + if (probabilities[i] > max_p) { + max_i = i; + max_p = probabilities[i]; + } + } + return max_i; +} + +int sample_mult(float* probabilities, int n, float coin) { + // sample index from probabilities (they must sum to 1!) + // coin is a random number in [0, 1), usually from random_f32() + float cdf = 0.0f; + for (int i = 0; i < n; i++) { + cdf += probabilities[i]; + if (coin < cdf) { + return i; + } + } + return n - 1; // in case of rounding errors +} + +int compare(const void* a, const void* b) { + ProbIndex* a_ = (ProbIndex*) a; + ProbIndex* b_ = (ProbIndex*) b; + if (a_->prob > b_->prob) return -1; + if (a_->prob < b_->prob) return 1; + return 0; +} + +int sample_topp(float* probabilities, int n, float topp, ProbIndex* probindex, float coin) { + // top-p sampling (or "nucleus sampling") samples from the smallest set of + // tokens that exceed probability topp. This way we never sample tokens that + // have very low probabilities and are less likely to go "off the rails". + // coin is a random number in [0, 1), usually from random_f32() + + int n0 = 0; + // quicksort indices in descending order of probabilities + // values smaller than (1 - topp) / (n - 1) cannot be part of the result + // so for efficiency we crop these out as candidates before sorting + const float cutoff = (1.0f - topp) / (n - 1); + for (int i = 0; i < n; i++) { + if (probabilities[i] >= cutoff) { + probindex[n0].index = i; + probindex[n0].prob = probabilities[i]; + n0++; + } + } + qsort(probindex, n0, sizeof(ProbIndex), compare); + + // truncate the list where cumulative probability exceeds topp + float cumulative_prob = 0.0f; + int last_idx = n0 - 1; // in case of rounding errors consider all elements + for (int i = 0; i < n0; i++) { + cumulative_prob += probindex[i].prob; + if (cumulative_prob > topp) { + last_idx = i; + break; // we've exceeded topp by including last_idx + } + } + + // sample from the truncated list + float r = coin * cumulative_prob; + float cdf = 0.0f; + for (int i = 0; i <= last_idx; i++) { + cdf += probindex[i].prob; + if (r < cdf) { + return probindex[i].index; + } + } + return probindex[last_idx].index; // in case of rounding errors +} + +void build_sampler(Sampler* sampler, int vocab_size, float temperature, float topp, unsigned long long rng_seed) { + sampler->vocab_size = vocab_size; + sampler->temperature = temperature; + sampler->topp = topp; + sampler->rng_state = rng_seed; + // buffer only used with nucleus sampling; may not need but it's ~small + sampler->probindex = malloc(sampler->vocab_size * sizeof(ProbIndex)); +} + +void free_sampler(Sampler* sampler) { + free(sampler->probindex); +} + +unsigned int random_u32(unsigned long long *state) { + // xorshift rng: https://en.wikipedia.org/wiki/Xorshift#xorshift.2A + *state ^= *state >> 12; + *state ^= *state << 25; + *state ^= *state >> 27; + return (*state * 0x2545F4914F6CDD1Dull) >> 32; +} +float random_f32(unsigned long long *state) { // random float32 in [0,1) + return (random_u32(state) >> 8) / 16777216.0f; +} + +int sample(Sampler* sampler, float* logits) { + // sample the token given the logits and some hyperparameters + int next; + if (sampler->temperature == 0.0f) { + // greedy argmax sampling: take the token with the highest probability + next = sample_argmax(logits, sampler->vocab_size); + } else { + // apply the temperature to the logits + for (int q=0; qvocab_size; q++) { logits[q] /= sampler->temperature; } + // apply softmax to the logits to get the probabilities for next token + softmax(logits, sampler->vocab_size); + // flip a (float) coin (this is our source of entropy for sampling) + float coin = random_f32(&sampler->rng_state); + // we sample from this distribution to get the next token + if (sampler->topp <= 0 || sampler->topp >= 1) { + // simply sample from the predicted probability distribution + next = sample_mult(logits, sampler->vocab_size, coin); + } else { + // top-p (nucleus) sampling, clamping the least likely tokens to zero + next = sample_topp(logits, sampler->vocab_size, sampler->topp, sampler->probindex, coin); + } + } + return next; +} + +// ---------------------------------------------------------------------------- +// utilities: time + +// long time_in_ms() { +// // return time in milliseconds, for benchmarking the model speed +// struct timespec time; +// clock_gettime(CLOCK_REALTIME, &time); +// return time.tv_sec * 1000 + time.tv_nsec / 1000000; +// } + +// ---------------------------------------------------------------------------- +// generation loop +// ICPP: See inference.cpp +// void generate(Transformer *transformer, Tokenizer *tokenizer, Sampler *sampler, char *prompt, int steps) { +// char *empty_prompt = ""; +// if (prompt == NULL) { prompt = empty_prompt; } + +// // encode the (string) prompt into tokens sequence +// int num_prompt_tokens = 0; +// int* prompt_tokens = (int*)malloc((strlen(prompt)+3) * sizeof(int)); // +3 for '\0', ?BOS, ?EOS +// encode(tokenizer, prompt, 1, 0, prompt_tokens, &num_prompt_tokens); +// if (num_prompt_tokens < 1) { +// fprintf(stderr, "something is wrong, expected at least 1 prompt token\n"); +// exit(EXIT_FAILURE); +// } + +// // start the main loop +// long start = 0; // used to time our code, only initialized after first iteration +// int next; // will store the next token in the sequence +// int token = prompt_tokens[0]; // kick off with the first token in the prompt +// int pos = 0; // position in the sequence +// while (pos < steps) { + +// // forward the transformer to get logits for the next token +// float* logits = forward(transformer, token, pos); + +// // advance the state state machine +// if (pos < num_prompt_tokens - 1) { +// // if we are still processing the input prompt, force the next prompt token +// next = prompt_tokens[pos + 1]; +// } else { +// // otherwise sample the next token from the logits +// next = sample(sampler, logits); +// } +// pos++; + +// // data-dependent terminating condition: the BOS (=1) token delimits sequences +// if (next == 1) { break; } + +// // print the token as string, decode it with the Tokenizer object +// char* piece = decode(tokenizer, token, next); +// safe_printf(piece); // same as printf("%s", piece), but skips "unsafe" bytes +// fflush(stdout); +// token = next; + +// // init the timer here because the first iteration can be slower +// // if (start == 0) { start = time_in_ms(); } +// } +// printf("\n"); + +// // report achieved tok/s (pos-1 because the timer starts after first iteration) +// // if (pos > 1) { +// // long end = time_in_ms(); +// // fprintf(stderr, "achieved tok/s: %f\n", (pos-1) / (double)(end-start)*1000); +// // } + +// free(prompt_tokens); +// } + +// void read_stdin(const char* guide, char* buffer, size_t bufsize) { +// // read a line from stdin, up to but not including \n +// printf("%s", guide); +// if (fgets(buffer, bufsize, stdin) != NULL) { +// size_t len = strlen(buffer); +// if (len > 0 && buffer[len - 1] == '\n') { +// buffer[len - 1] = '\0'; // strip newline +// } +// } +// } + +// ---------------------------------------------------------------------------- +// chat loop +// I manually inspected the tokens for a few chat conversations compared to +// python reference and that seemed ok, but this was not thoroughly tested and +// is not safely implemented, it's more a proof of concept atm. +// +// void chat(Transformer *transformer, Tokenizer *tokenizer, Sampler *sampler, +// char *cli_user_prompt, char *cli_system_prompt, int steps) { + +// // buffers for reading the system prompt and user prompt from stdin +// // you'll notice they are soomewhat haphazardly and unsafely set atm +// char system_prompt[512]; +// char user_prompt[512]; +// char rendered_prompt[1152]; +// int num_prompt_tokens = 0; +// int* prompt_tokens = (int*)malloc(1152 * sizeof(int)); +// int user_idx; + +// // start the main loop +// int8_t user_turn = 1; // user starts +// int next; // will store the next token in the sequence +// int token; // stores the current token to feed into the transformer +// int prev_token; +// int pos = 0; // position in the sequence +// while (pos < steps) { + +// // when it is the user's turn to contribute tokens to the dialog... +// if (user_turn) { +// // get the (optional) system prompt at position 0 +// if (pos == 0) { +// // at position 0, the user can also contribute a system prompt +// if (cli_system_prompt == NULL) { +// // system prompt was not passed in, attempt to get it from stdin +// read_stdin("Enter system prompt (optional): ", system_prompt, sizeof(system_prompt)); +// } else { +// // system prompt was passed in, use it +// strcpy(system_prompt, cli_system_prompt); +// } +// } +// // get the user prompt +// if (pos == 0 && cli_user_prompt != NULL) { +// // user prompt for position 0 was passed in, use it +// strcpy(user_prompt, cli_user_prompt); +// } else { +// // otherwise get user prompt from stdin +// read_stdin("User: ", user_prompt, sizeof(user_prompt)); +// } +// // render user/system prompts into the Llama 2 Chat schema +// if (pos == 0 && system_prompt[0] != '\0') { +// char system_template[] = "[INST] <>\n%s\n<>\n\n%s [/INST]"; +// sprintf(rendered_prompt, system_template, system_prompt, user_prompt); +// } else { +// char user_template[] = "[INST] %s [/INST]"; +// sprintf(rendered_prompt, user_template, user_prompt); +// } +// // encode the rendered prompt into tokens +// encode(tokenizer, rendered_prompt, 1, 0, prompt_tokens, &num_prompt_tokens); +// user_idx = 0; // reset the user index +// user_turn = 0; +// printf("Assistant: "); +// } + +// // determine the token to pass into the transformer next +// if (user_idx < num_prompt_tokens) { +// // if we are still processing the input prompt, force the next prompt token +// token = prompt_tokens[user_idx++]; +// } else { +// // otherwise use the next token sampled from previous turn +// token = next; +// } +// // EOS (=2) token ends the Assistant turn +// if (token == 2) { user_turn = 1; } + +// // forward the transformer to get logits for the next token +// float* logits = forward(transformer, token, pos); +// next = sample(sampler, logits); +// pos++; + +// if (user_idx >= num_prompt_tokens && next != 2) { +// // the Assistant is responding, so print its output +// char* piece = decode(tokenizer, token, next); +// safe_printf(piece); // same as printf("%s", piece), but skips "unsafe" bytes +// fflush(stdout); +// } +// if (next == 2) { printf("\n"); } +// } +// printf("\n"); +// free(prompt_tokens); +// } + + +// ---------------------------------------------------------------------------- +// CLI, include only if not testing +// #ifndef TESTING + +// void error_usage() { +// fprintf(stderr, "Usage: run [options]\n"); +// fprintf(stderr, "Example: run model.bin -n 256 -i \"Once upon a time\"\n"); +// fprintf(stderr, "Options:\n"); +// fprintf(stderr, " -t temperature in [0,inf], default 1.0\n"); +// fprintf(stderr, " -p p value in top-p (nucleus) sampling in [0,1] default 0.9\n"); +// fprintf(stderr, " -s random seed, default time(NULL)\n"); +// fprintf(stderr, " -n number of steps to run for, default 256. 0 = max_seq_len\n"); +// fprintf(stderr, " -i input prompt\n"); +// fprintf(stderr, " -z optional path to custom tokenizer\n"); +// fprintf(stderr, " -m mode: generate|chat, default: generate\n"); +// fprintf(stderr, " -y (optional) system prompt in chat mode\n"); +// exit(EXIT_FAILURE); +// } + +// int main(int argc, char *argv[]) { + +// // default parameters +// char *checkpoint_path = NULL; // e.g. out/model.bin +// char *tokenizer_path = "tokenizer.bin"; +// float temperature = 1.0f; // 0.0 = greedy deterministic. 1.0 = original. don't set higher +// float topp = 0.9f; // top-p in nucleus sampling. 1.0 = off. 0.9 works well, but slower +// int steps = 256; // number of steps to run for +// char *prompt = NULL; // prompt string +// unsigned long long rng_seed = 0; // seed rng with time by default +// char *mode = "generate"; // generate|chat +// char *system_prompt = NULL; // the (optional) system prompt to use in chat mode + +// // poor man's C argparse so we can override the defaults above from the command line +// if (argc >= 2) { checkpoint_path = argv[1]; } else { error_usage(); } +// for (int i = 2; i < argc; i+=2) { +// // do some basic validation +// if (i + 1 >= argc) { error_usage(); } // must have arg after flag +// if (argv[i][0] != '-') { error_usage(); } // must start with dash +// if (strlen(argv[i]) != 2) { error_usage(); } // must be -x (one dash, one letter) +// // read in the args +// if (argv[i][1] == 't') { temperature = atof(argv[i + 1]); } +// else if (argv[i][1] == 'p') { topp = atof(argv[i + 1]); } +// else if (argv[i][1] == 's') { rng_seed = atoi(argv[i + 1]); } +// else if (argv[i][1] == 'n') { steps = atoi(argv[i + 1]); } +// else if (argv[i][1] == 'i') { prompt = argv[i + 1]; } +// else if (argv[i][1] == 'z') { tokenizer_path = argv[i + 1]; } +// else if (argv[i][1] == 'm') { mode = argv[i + 1]; } +// else if (argv[i][1] == 'y') { system_prompt = argv[i + 1]; } +// else { error_usage(); } +// } + +// // parameter validation/overrides +// if (rng_seed <= 0) rng_seed = (unsigned int)time(NULL); +// if (temperature < 0.0) temperature = 0.0; +// if (topp < 0.0 || 1.0 < topp) topp = 0.9; +// if (steps < 0) steps = 0; + +// // build the Transformer via the model .bin file +// Transformer transformer; +// build_transformer(&transformer, checkpoint_path); +// if (steps == 0 || steps > transformer.config.seq_len) steps = transformer.config.seq_len; // ovrerride to ~max length + +// // build the Tokenizer via the tokenizer .bin file +// Tokenizer tokenizer; +// build_tokenizer(&tokenizer, tokenizer_path, transformer.config.vocab_size); + +// // build the Sampler +// Sampler sampler; +// build_sampler(&sampler, transformer.config.vocab_size, temperature, topp, rng_seed); + +// // run! +// if (strcmp(mode, "generate") == 0) { +// generate(&transformer, &tokenizer, &sampler, prompt, steps); +// } else if (strcmp(mode, "chat") == 0) { +// chat(&transformer, &tokenizer, &sampler, prompt, system_prompt, steps); +// } else { +// fprintf(stderr, "unknown mode: %s\n", mode); +// error_usage(); +// } + +// // memory and file handles cleanup +// free_sampler(&sampler); +// free_tokenizer(&tokenizer); +// free_transformer(&transformer); +// return 0; +// } +// #endif diff --git a/icpp_llama2/src/run.h b/icpp_llama2/src/run.h new file mode 100644 index 0000000..afa9b88 --- /dev/null +++ b/icpp_llama2/src/run.h @@ -0,0 +1,141 @@ +#pragma once + +// Enable calling from C++ +#ifdef __cplusplus +extern "C" { +#endif + +#include +#include + +// ---------------------------------------------------------------------------- +// Transformer and RunState structs, and related memory management + +typedef struct { + int dim; // transformer dimension + int hidden_dim; // for ffn layers + int n_layers; // number of layers + int n_heads; // number of query heads + int n_kv_heads; // number of key/value heads (can be < query heads because of multiquery) + int vocab_size; // vocabulary size, usually 256 (byte-level) + int seq_len; // max sequence length +} Config; + +typedef struct { + // token embedding table + float *token_embedding_table; // (vocab_size, dim) + // weights for rmsnorms + float *rms_att_weight; // (layer, dim) rmsnorm weights + float *rms_ffn_weight; // (layer, dim) + // weights for matmuls. note dim == n_heads * head_size + float *wq; // (layer, dim, n_heads * head_size) + float *wk; // (layer, dim, n_kv_heads * head_size) + float *wv; // (layer, dim, n_kv_heads * head_size) + float *wo; // (layer, n_heads * head_size, dim) + // weights for ffn + float *w1; // (layer, hidden_dim, dim) + float *w2; // (layer, dim, hidden_dim) + float *w3; // (layer, hidden_dim, dim) + // final rmsnorm + float *rms_final_weight; // (dim,) + // (optional) classifier weights for the logits, on the last layer + float *wcls; +} TransformerWeights; + +typedef struct { + // current wave of activations + float *x; // activation at current time stamp (dim,) + float *xb; // same, but inside a residual branch (dim,) + float *xb2; // an additional buffer just for convenience (dim,) + float *hb; // buffer for hidden dimension in the ffn (hidden_dim,) + float *hb2; // buffer for hidden dimension in the ffn (hidden_dim,) + float *q; // query (dim,) + float *k; // key (dim,) + float *v; // value (dim,) + float *att; // buffer for scores/attention values (n_heads, seq_len) + float *logits; // output logits + // kv cache + float *key_cache; // (layer, seq_len, dim) + float *value_cache; // (layer, seq_len, dim) +} RunState; + +typedef struct { + Config config; // the hyperparameters of the architecture (the blueprint) + TransformerWeights weights; // the weights of the model + // icpp: we are storing RunState per user, not per model + // RunState state; // buffers for the "wave" of activations in the forward pass + // some more state needed to properly clean up the memory mapping (sigh) + // icpp: we do not use these, because we do not read from file + // int fd; // file descriptor for memory mapping + // float *data; // memory mapped data pointer + // ssize_t file_size; // size of the checkpoint file in bytes +} Transformer; + +typedef struct { + RunState state; // buffers for the "wave" of activations in the forward pass + // icpp: to support generation across endpoint calls, we need to save the next token predicted + int pos; // position in the sequence + int next; // next token that was predicted + int8_t bos; // add begin-of-sentence token or not + int8_t eos; // add end-of-sentence token or not + unsigned long long + total_steps; // total steps to generate, including previous calls +} Chat; + +typedef struct { + char *str; + int id; +} TokenIndex; + +typedef struct { + char **vocab; + float *vocab_scores; + TokenIndex *sorted_vocab; + int vocab_size; + unsigned int max_token_length; + unsigned char byte_pieces[512]; // stores all single-byte strings +} Tokenizer; + +typedef struct { + float prob; + int index; +} ProbIndex; // struct used when sorting probabilities during top-p sampling + +typedef struct { + int vocab_size; + ProbIndex *probindex; // buffer used in top-p sampling + float temperature; + float topp; + unsigned long long rng_state; +} Sampler; + +extern Config config; +extern Transformer transformer; +extern Tokenizer tokenizer; +extern Sampler sampler; + +// At inference +extern unsigned long long rng_seed; + +int compare_tokens(const void *a, const void *b); +bool malloc_run_state(RunState *s, Config *p); +void memory_map_weights(TransformerWeights *w, Config *p, float *ptr, + int shared_weights); +void encode(Tokenizer *t, const char *text, int bos, int eos, int *tokens, + int *n_tokens); +float *forward(Chat *chat, Transformer *transformer, int token, int pos); +char *decode(Tokenizer *t, int prev_token, int token); +void build_sampler(Sampler *sampler, int vocab_size, float temperature, + float topp, unsigned long long rng_seed); +int sample(Sampler *sampler, float *logits); +int sample_topp(float *probabilities, int n, float topp, ProbIndex *probindex, + float coin); + +void free_run_state(RunState *s); +void free_sampler(Sampler *sampler); +void free_tokenizer(Tokenizer *t); +// void free_transformer(Transformer *t); + +#ifdef __cplusplus +} +#endif \ No newline at end of file diff --git a/icpp_llama2/src/upload.cpp b/icpp_llama2/src/upload.cpp new file mode 100644 index 0000000..0a4884c --- /dev/null +++ b/icpp_llama2/src/upload.cpp @@ -0,0 +1,159 @@ +// Endpoints for uploading the trained model & the tokenizer files +// eg. models/stories15M.bin & tokenizers/tokenizer.bin + +#include "upload.h" + +#include + +#include "canister.h" +#include "http.h" +#include "ic_api.h" + +ModelBytes *p_model_bytes{nullptr}; +TokenizerBytes *p_tokenizer_bytes{nullptr}; + +// 0 - none +// 1 - minimal +// 2 - a lot +int DEBUG_VERBOSE = 1; + +void new_model_bytes_memory() { + if (p_model_bytes == nullptr) { + IC_API::debug_print(std::string(__func__) + + ": Creating ModelBytes Instance."); + p_model_bytes = new (std::nothrow) ModelBytes(); + if (p_model_bytes == nullptr) { + IC_API::trap("Allocation of p_model_bytes failed"); + } + } +} + +void delete_model_bytes_memory() { + if (p_model_bytes) { + delete p_model_bytes; + p_model_bytes = nullptr; + } +} + +void new_tokenizer_bytes_memory() { + if (p_tokenizer_bytes == nullptr) { + IC_API::debug_print(std::string(__func__) + + ": Creating TokenizerBytes Instance."); + p_tokenizer_bytes = new (std::nothrow) TokenizerBytes(); + if (p_tokenizer_bytes == nullptr) { + IC_API::trap("Allocation of p_tokenizer_bytes failed"); + } + } +} + +void delete_tokenizer_bytes_memory() { + if (p_tokenizer_bytes) { + delete p_tokenizer_bytes; + p_tokenizer_bytes = nullptr; + } +} + +void print_upload_model_bytes_summary(std::string calling_function, + const std::vector &v) { + std::string msg; + if (DEBUG_VERBOSE == 0) { + return; + } else if (DEBUG_VERBOSE == 1) { + msg += "chunk size = " + std::to_string(v.size()) + + "; total size = " + std::to_string(p_model_bytes->vec.size()); + } else { + msg += calling_function + ":"; + msg += "\n- received v of size " + std::to_string(v.size()); + msg += "\n- v[0] = " + std::to_string(v[0]); + msg += "\n- v.back() = " + std::to_string(v.back()); + msg += "\n- p_model_bytes->vec now has size " + + std::to_string(p_model_bytes->vec.size()); + msg += "\n- p_model_bytes->vec[0] = " + + std::to_string(p_model_bytes->vec[0]); + msg += "\n- p_model_bytes->vec.back() = " + + std::to_string(p_model_bytes->vec.back()); + } + IC_API::debug_print(msg); +} + +void print_upload_tokenizer_bytes_summary(std::string calling_function, + const std::vector &v) { + std::string msg; + if (DEBUG_VERBOSE == 0) { + return; + } else if (DEBUG_VERBOSE == 1) { + msg += "chunk size = " + std::to_string(v.size()) + + "; total size = " + std::to_string(p_model_bytes->vec.size()); + } else { + msg += calling_function + ":"; + msg += "\n- received v of size " + std::to_string(v.size()); + msg += "\n- v[0] = " + std::to_string(v[0]); + msg += "\n- v.back() = " + std::to_string(v.back()); + msg += "\n- p_tokenizer_bytes->vec now has size " + + std::to_string(p_tokenizer_bytes->vec.size()); + msg += "\n- p_tokenizer_bytes->vec[0] = " + + std::to_string(p_tokenizer_bytes->vec[0]); + msg += "\n- p_tokenizer_bytes->vec.back() = " + + std::to_string(p_tokenizer_bytes->vec.back()); + } + IC_API::debug_print(msg); +} + +void reset_model() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_owner(ic_api)) return; + + ready_for_inference = false; + + delete_model_bytes_memory(); + + ic_api.to_wire( + CandidTypeVariant{"ok", CandidTypeNat16{Http::StatusCode::OK}}); +} + +void reset_tokenizer() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_owner(ic_api)) return; + + ready_for_inference = false; + + delete_tokenizer_bytes_memory(); + + ic_api.to_wire( + CandidTypeVariant{"ok", CandidTypeNat16{Http::StatusCode::OK}}); +} + +// Endpoint for uploading the stories15M.bin file as bytes +void upload_model_bytes_chunk() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_owner(ic_api)) return; + + std::vector v; + ic_api.from_wire(CandidTypeVecNat8{&v}); + + if (p_model_bytes == nullptr) new_model_bytes_memory(); + p_model_bytes->vec.insert(p_model_bytes->vec.end(), v.begin(), v.end()); + + print_upload_model_bytes_summary(std::string(__func__), v); + + ic_api.to_wire( + CandidTypeVariant{"ok", CandidTypeNat16{Http::StatusCode::OK}}); +} + +// Endpoint for uploading the tokenizer.bin file as bytes +void upload_tokenizer_bytes_chunk() { + IC_API ic_api(CanisterUpdate{std::string(__func__)}, false); + if (!is_owner(ic_api)) return; + + std::vector v; + ic_api.from_wire(CandidTypeVecNat8{&v}); + + if (p_tokenizer_bytes == nullptr) new_tokenizer_bytes_memory(); + p_tokenizer_bytes->vec.insert(p_tokenizer_bytes->vec.end(), v.begin(), + v.end()); + + print_upload_tokenizer_bytes_summary(std::string(__func__), v); + + ic_api.to_wire( + CandidTypeVariant{"ok", CandidTypeNat16{Http::StatusCode::OK}}); +} \ No newline at end of file diff --git a/icpp_llama2/src/upload.h b/icpp_llama2/src/upload.h new file mode 100644 index 0000000..1772b0d --- /dev/null +++ b/icpp_llama2/src/upload.h @@ -0,0 +1,27 @@ +#pragma once + +#include "wasm_symbol.h" +#include +#include + +// The uploaded bytes of the trained model (eg. models/stories15M.bin) +class ModelBytes { +public: + std::vector vec; +}; +extern ModelBytes *p_model_bytes; + +// The uploaded bytes of the tokenizer (eg. tokenizers/tokenizer.bin) +class TokenizerBytes { +public: + std::vector vec; +}; +extern TokenizerBytes *p_tokenizer_bytes; + +void reset_model() WASM_SYMBOL_EXPORTED("canister_update reset_model"); +void reset_tokenizer() WASM_SYMBOL_EXPORTED("canister_update reset_tokenizer"); + +void upload_model_bytes_chunk() + WASM_SYMBOL_EXPORTED("canister_update upload_model_bytes_chunk"); +void upload_tokenizer_bytes_chunk() + WASM_SYMBOL_EXPORTED("canister_update upload_tokenizer_bytes_chunk"); \ No newline at end of file diff --git a/icpp_llama2/src/users.cpp b/icpp_llama2/src/users.cpp new file mode 100644 index 0000000..270ef3d --- /dev/null +++ b/icpp_llama2/src/users.cpp @@ -0,0 +1,64 @@ +// Endpoints for user metadata get & set + +#include "users.h" + +#include + +#include "canister.h" +#include "chats.h" +#include "http.h" +#include "ic_api.h" + +#include "run.h" + +void get_user_count() { + IC_API ic_api(CanisterQuery{std::string(__func__)}, false); + if (!is_owner(ic_api, false)) IC_API::trap("Access Denied"); + + uint64_t user_count = 0; + if (p_metadata_users) { + user_count = p_metadata_users->umap.size(); + } + + ic_api.to_wire(CandidTypeNat64{user_count}); +} + +void get_user_ids() { + IC_API ic_api(CanisterQuery{std::string(__func__)}, false); + if (!is_owner(ic_api, false)) IC_API::trap("Access Denied"); + + std::vector user_ids; + + if (p_metadata_users) { + for (const auto &pair : p_metadata_users->umap) { + user_ids.push_back(pair.first); + } + } + + ic_api.to_wire(CandidTypeVecText{user_ids}); +} + +void get_user_metadata() { + IC_API ic_api(CanisterQuery{std::string(__func__)}, false); + if (!is_owner(ic_api, false)) IC_API::trap("Access Denied"); + + std::string in_principal; + ic_api.from_wire(CandidTypeText{&in_principal}); + + std::vector chats_start_time; + std::vector chats_total_steps; + + auto it = p_metadata_users->umap.find(in_principal); + if (it != p_metadata_users->umap.end()) { + // Found the user metadata for the given in_principal + for (const MetadataChat &chat : it->second.metadata_chats) { + chats_start_time.push_back(chat.start_time); + chats_total_steps.push_back(chat.total_steps); + } + } + + CandidArgs args_out; + args_out.append(CandidTypeVecNat64{chats_start_time}); + args_out.append(CandidTypeVecNat64{chats_total_steps}); + ic_api.to_wire(args_out); +} \ No newline at end of file diff --git a/icpp_llama2/src/users.h b/icpp_llama2/src/users.h new file mode 100644 index 0000000..fbf18c8 --- /dev/null +++ b/icpp_llama2/src/users.h @@ -0,0 +1,9 @@ +#pragma once + +#include "wasm_symbol.h" +#include + +void get_user_count() WASM_SYMBOL_EXPORTED("canister_query get_user_count"); +void get_user_ids() WASM_SYMBOL_EXPORTED("canister_query get_user_ids"); +void get_user_metadata() + WASM_SYMBOL_EXPORTED("canister_query get_user_metadata"); \ No newline at end of file diff --git a/icpp_llama2/test/__init__.py b/icpp_llama2/test/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/icpp_llama2/test/conftest.py b/icpp_llama2/test/conftest.py new file mode 100644 index 0000000..83010bd --- /dev/null +++ b/icpp_llama2/test/conftest.py @@ -0,0 +1,8 @@ +"""The pytest fixtures + https://docs.pytest.org/en/latest/fixture.html +""" +# pylint: disable=missing-function-docstring, unused-import, wildcard-import, unused-wildcard-import +import pytest +from icpp.conftest_base import * # pytest fixtures provided by icpp + +# Define your pytest fixtures below diff --git a/icpp_llama2/test/test_apis.py b/icpp_llama2/test/test_apis.py new file mode 100644 index 0000000..6a59e26 --- /dev/null +++ b/icpp_llama2/test/test_apis.py @@ -0,0 +1,213 @@ +"""Test canister APIs + + First deploy the canister, then run: + + $ pytest --network=[local/ic] test_apis.py + +""" +# pylint: disable=unused-argument, missing-function-docstring, unused-import, wildcard-import, unused-wildcard-import, line-too-long + +from pathlib import Path +import pytest +from icpp.smoketest import call_canister_api + +# Path to the dfx.json file +DFX_JSON_PATH = Path(__file__).parent / "../dfx.json" + +# Canister in the dfx.json file we want to test +CANISTER_NAME = "llama2" + + +def test__health(identity_anonymous: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="health", + canister_argument="()", + network=network, + timeout_seconds=10, + ) + expected_response = "(true)" + assert response == expected_response + + +def test__ready(identity_anonymous: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="ready", + canister_argument="()", + network=network, + timeout_seconds=10, + ) + expected_response = "(true)" + assert response == expected_response + + +def test__reset_model_err(identity_anonymous: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="reset_model", + canister_argument="()", + network=network, + timeout_seconds=10, + ) + expected_response = "(variant { err = 401 : nat16 })" + assert response == expected_response + + +def test__new_chat_anonymous(identity_anonymous: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="new_chat", + canister_argument="()", + network=network, + timeout_seconds=10, + ) + assert "err" in response + + +def test__new_chat(identity_default: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="new_chat", + canister_argument="()", + network=network, + timeout_seconds=10, + ) + assert "ok" in response + + +def test__inference_1_anonymous( + identity_anonymous: dict[str, str], network: str +) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="inference", + canister_argument='(record {prompt = "" : text; steps = 19 : nat64; temperature = 0.9 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})', + network=network, + timeout_seconds=10, + ) + assert "err" in response + + +def test__inference_1(identity_default: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="inference", + canister_argument='(record {prompt = "" : text; steps = 19 : nat64; temperature = 0.9 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})', + network=network, + timeout_seconds=10, + ) + assert "ok" in response + + +def test__inference_2(identity_default: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="inference", + canister_argument='(record {prompt = "Lilly " : text; steps = 19 : nat64; temperature = 0.9 : float32; topp = 0.9 : float32; rng_seed = 0 : nat64;})', + network=network, + timeout_seconds=10, + ) + assert "ok" in response + + +# ---------------------------------------------------------------------------------- +# Users data, requires that identity_default is the owner +# So, deploy with that default identity !!! +# +def test__get_user_count(identity_default: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="get_user_count", + canister_argument="4449444c0000", + canister_input="raw", + canister_output="raw", + network=network, + ) + assert "4449444c0001780100000000000000" == response + + +def test__get_user_ids(identity_default: dict[str, str], network: str) -> None: + _response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="get_user_ids", + canister_argument="4449444c0000", + canister_input="raw", + canister_output="raw", + network=network, + ) + # No assert. A test just to make sure it does not trap. + + +def test__get_user_metadata(identity_default: dict[str, str], network: str) -> None: + _response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="get_user_metadata", + canister_argument="4449444c000171093269626f372d646961", + canister_input="raw", + canister_output="raw", + network=network, + ) + # No assert. A test just to make sure it does not trap. + + +# ---------------------------------------------------------------------------------- +# Trap testing +# +# Verify that calls trap when not owner +def test__trap_get_user_count(identity_anonymous: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="get_user_count", + canister_argument="4449444c0000", + canister_input="raw", + canister_output="raw", + network=network, + ) + assert "Failed call to api" in response + assert "trapped explicitly" in response + assert "Access Denied" in response + + +def test__trap_get_user_ids(identity_anonymous: dict[str, str], network: str) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="get_user_ids", + canister_argument="4449444c0000", + canister_input="raw", + canister_output="raw", + network=network, + ) + assert "Failed call to api" in response + assert "trapped explicitly" in response + assert "Access Denied" in response + + +def test__trap_get_user_metadata( + identity_anonymous: dict[str, str], network: str +) -> None: + response = call_canister_api( + dfx_json_path=DFX_JSON_PATH, + canister_name=CANISTER_NAME, + canister_method="get_user_metadata", + canister_argument="4449444c000171093269626f372d646961", + canister_input="raw", + canister_output="raw", + network=network, + ) + assert "Failed call to api" in response + assert "trapped explicitly" in response + assert "Access Denied" in response diff --git a/icpp_llama2/tokenizers/__init__.py b/icpp_llama2/tokenizers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/icpp_llama2/tokenizers/tokenizer.bin b/icpp_llama2/tokenizers/tokenizer.bin new file mode 100644 index 0000000000000000000000000000000000000000..e0a8a7bc47fda2ecaab1e2cc2255d140925ed704 GIT binary patch literal 432717 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index 0000000..dbec7c5 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,6 @@ +-r icpp_llama2/requirements.txt + +# to lint python scripts +black +pylint==2.13.9 +mypy \ No newline at end of file diff --git a/test_all_llms.ps1 b/test_all_llms.ps1 new file mode 100644 index 0000000..a51aee9 --- /dev/null +++ b/test_all_llms.ps1 @@ -0,0 +1,22 @@ +####################################################################### +# This is a Windows PowerShell script, +# +# (-) equivalent to the Makefile target `test-all-llms: +# (-) In a Windows PowerShell (*): +# +# .\test_all_llms.ps1 +# +# (*) The Miniconda Powershell is highly recommended +# +####################################################################### + +wsl --% dfx identity use default + +Write-Host " " +Write-Host "--------------------------------------------------" +Write-Host "Testing icpp_llama2" +Set-Location -Path .\icpp_llama2 +.\demo.ps1 + +# Change directory back to the root +Set-Location -Path ..\.. \ No newline at end of file diff --git a/version_clang.txt b/version_clang.txt new file mode 100644 index 0000000..da2d398 --- /dev/null +++ b/version_clang.txt @@ -0,0 +1 @@ +14 \ No newline at end of file