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__init__.py
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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
try:
from geventhttpclient import HTTPClient
from geventhttpclient.url import URL
import gevent
import gevent.pool
from urllib.parse import quote, quote_plus
import rapidjson as json
import numpy as np
import struct
except ModuleNotFoundError as error:
raise RuntimeError(
'The installation does not include http support. Specify \'http\' or \'all\' while installing the tritonclient package to include the support'
) from error
from tritonclient.utils import *
def _get_error(response):
"""
Returns the InferenceServerException object if response
indicates the error. If no error then return None
"""
if response.status_code != 200:
error_response = json.loads(response.read())
return InferenceServerException(msg=error_response["error"])
else:
return None
def _raise_if_error(response):
"""
Raise InferenceServerException if received non-Success
response from the server
"""
error = _get_error(response)
if error is not None:
raise error
def _get_query_string(query_params):
params = []
for key, value in query_params.items():
if isinstance(value, list):
for item in value:
params.append("%s=%s" %
(quote_plus(key), quote_plus(str(item))))
else:
params.append("%s=%s" % (quote_plus(key), quote_plus(str(value))))
if params:
return "&".join(params)
return ''
def _get_inference_request(inputs, request_id, outputs, sequence_id,
sequence_start, sequence_end, priority, timeout):
infer_request = {}
parameters = {}
if request_id != "":
infer_request['id'] = request_id
if sequence_id != 0:
parameters['sequence_id'] = sequence_id
parameters['sequence_start'] = sequence_start
parameters['sequence_end'] = sequence_end
if priority != 0:
parameters['priority'] = priority
if timeout is not None:
parameters['timeout'] = timeout
infer_request['inputs'] = [
this_input._get_tensor() for this_input in inputs
]
if outputs:
infer_request['outputs'] = [
this_output._get_tensor() for this_output in outputs
]
else:
# no outputs specified so set 'binary_data_output' True in the
# request so that all outputs are returned in binary format
parameters['binary_data_output'] = True
if parameters:
infer_request['parameters'] = parameters
request_body = json.dumps(infer_request)
json_size = len(request_body)
binary_data = None
for input_tensor in inputs:
raw_data = input_tensor._get_binary_data()
if raw_data is not None:
if binary_data is not None:
binary_data += raw_data
else:
binary_data = raw_data
if binary_data is not None:
request_body = struct.pack(
'{}s{}s'.format(len(request_body), len(binary_data)),
request_body.encode(), binary_data)
return request_body, json_size
return request_body, None
class InferenceServerClient:
"""An InferenceServerClient object is used to perform any kind of
communication with the InferenceServer using http protocol. None
of the methods are thread safe. The object is intended to be used
by a single thread and simultaneously calling different methods
with different threads is not supported and will cause undefined
behavior.
Parameters
----------
url : str
The inference server name, port and optional base path
in the following format: host:port/<base-path>, e.g.
'localhost:8000'.
verbose : bool
If True generate verbose output. Default value is False.
concurrency : int
The number of connections to create for this client.
Default value is 1.
connection_timeout : float
The timeout value for the connection. Default value
is 60.0 sec.
network_timeout : float
The timeout value for the network. Default value is
60.0 sec
max_greenlets : int
Determines the maximum allowed number of worker greenlets
for handling asynchronous inference requests. Default value
is None, which means there will be no restriction on the
number of greenlets created.
ssl : bool
If True, channels the requests to encrypted https scheme.
Default value is False.
ssl_options : dict
Any options supported by `ssl.wrap_socket` specified as
dictionary. The argument is ignored if 'ssl' is specified
False.
ssl_context_factory : SSLContext callable
It must be a callbable that returns a SSLContext. The default
value is None which use `ssl.create_default_context`. The
argument is ignored if 'ssl' is specified False.
insecure : bool
If True, then does not match the host name with the certificate.
Default value is False. The argument is ignored if 'ssl' is
specified False.
Raises
------
Exception
If unable to create a client.
"""
def __init__(self,
url,
verbose=False,
concurrency=1,
connection_timeout=60.0,
network_timeout=60.0,
max_greenlets=None,
ssl=False,
ssl_options=None,
ssl_context_factory=None,
insecure=False):
if url.startswith("http://") or url.startswith("https://"):
raise_error("url should not include the scheme")
scheme = "https://" if ssl else "http://"
self._parsed_url = URL(scheme + url)
self._base_uri = self._parsed_url.request_uri.rstrip('/')
self._client_stub = HTTPClient.from_url(
self._parsed_url,
concurrency=concurrency,
connection_timeout=connection_timeout,
network_timeout=network_timeout,
ssl_options=ssl_options,
ssl_context_factory=ssl_context_factory,
insecure=insecure)
self._pool = gevent.pool.Pool(max_greenlets)
self._verbose = verbose
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
def __del__(self):
self.close()
def close(self):
"""Close the client. Any future calls to server
will result in an Error.
"""
self._pool.join()
self._client_stub.close()
def _get(self, request_uri, headers, query_params):
"""Issues the GET request to the server
Parameters
----------
request_uri: str
The request URI to be used in GET request.
headers: dict
Additional HTTP headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction.
Returns
-------
geventhttpclient.response.HTTPSocketPoolResponse
The response from server.
"""
if self._base_uri is not None:
request_uri = self._base_uri + "/" + request_uri
if query_params is not None:
request_uri = request_uri + "?" + _get_query_string(query_params)
if self._verbose:
print("GET {}, headers {}".format(request_uri, headers))
if headers is not None:
response = self._client_stub.get(request_uri, headers=headers)
else:
response = self._client_stub.get(request_uri)
if self._verbose:
print(response)
return response
def _post(self, request_uri, request_body, headers, query_params):
"""Issues the POST request to the server
Parameters
----------
request_uri: str
The request URI to be used in POST request.
request_body: str
The body of the request
headers: dict
Additional HTTP headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction.
Returns
-------
geventhttpclient.response.HTTPSocketPoolResponse
The response from server.
"""
if self._base_uri is not None:
request_uri = self._base_uri + "/" + request_uri
if query_params is not None:
request_uri = request_uri + "?" + _get_query_string(query_params)
if self._verbose:
print("POST {}, headers {}\n{}".format(request_uri, headers,
request_body))
if headers is not None:
response = self._client_stub.post(request_uri=request_uri,
body=request_body,
headers=headers)
else:
response = self._client_stub.post(request_uri=request_uri,
body=request_body)
if self._verbose:
print(response)
return response
def is_server_live(self, headers=None, query_params=None):
"""Contact the inference server and get liveness.
Parameters
----------
headers: dict
Optional dictionary specifying additional HTTP
headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction.
Returns
-------
bool
True if server is live, False if server is not live.
Raises
------
Exception
If unable to get liveness.
"""
request_uri = "v2/health/live"
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
return response.status_code == 200
def is_server_ready(self, headers=None, query_params=None):
"""Contact the inference server and get readiness.
Parameters
----------
headers: dict
Optional dictionary specifying additional HTTP
headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction.
Returns
-------
bool
True if server is ready, False if server is not ready.
Raises
------
Exception
If unable to get readiness.
"""
request_uri = "v2/health/ready"
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
return response.status_code == 200
def is_model_ready(self,
model_name,
model_version="",
headers=None,
query_params=None):
"""Contact the inference server and get the readiness of specified model.
Parameters
----------
model_name: str
The name of the model to check for readiness.
model_version: str
The version of the model to check for readiness. The default value
is an empty string which means then the server will choose a version
based on the model and internal policy.
headers: dict
Optional dictionary specifying additional HTTP
headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction.
Returns
-------
bool
True if the model is ready, False if not ready.
Raises
------
Exception
If unable to get model readiness.
"""
if type(model_version) != str:
raise_error("model version must be a string")
if model_version != "":
request_uri = "v2/models/{}/versions/{}/ready".format(
quote(model_name), model_version)
else:
request_uri = "v2/models/{}/ready".format(quote(model_name))
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
return response.status_code == 200
def get_server_metadata(self, headers=None, query_params=None):
"""Contact the inference server and get its metadata.
Parameters
----------
headers: dict
Optional dictionary specifying additional HTTP
headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction.
Returns
-------
dict
The JSON dict holding the metadata.
Raises
------
InferenceServerException
If unable to get server metadata.
"""
request_uri = "v2"
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def get_model_metadata(self,
model_name,
model_version="",
headers=None,
query_params=None):
"""Contact the inference server and get the metadata for specified model.
Parameters
----------
model_name: str
The name of the model
model_version: str
The version of the model to get metadata. The default value
is an empty string which means then the server will choose
a version based on the model and internal policy.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Returns
-------
dict
The JSON dict holding the metadata.
Raises
------
InferenceServerException
If unable to get model metadata.
"""
if type(model_version) != str:
raise_error("model version must be a string")
if model_version != "":
request_uri = "v2/models/{}/versions/{}".format(
quote(model_name), model_version)
else:
request_uri = "v2/models/{}".format(quote(model_name))
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def get_model_config(self,
model_name,
model_version="",
headers=None,
query_params=None):
"""Contact the inference server and get the configuration for specified model.
Parameters
----------
model_name: str
The name of the model
model_version: str
The version of the model to get configuration. The default value
is an empty string which means then the server will choose
a version based on the model and internal policy.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Returns
-------
dict
The JSON dict holding the model config.
Raises
------
InferenceServerException
If unable to get model configuration.
"""
if model_version != "":
request_uri = "v2/models/{}/versions/{}/config".format(
quote(model_name), model_version)
else:
request_uri = "v2/models/{}/config".format(quote(model_name))
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def get_model_repository_index(self, headers=None, query_params=None):
"""Get the index of model repository contents
Parameters
----------
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Returns
-------
dict
The JSON dict holding the model repository index.
Raises
------
InferenceServerException
If unable to get the repository index.
"""
request_uri = "v2/repository/index"
response = self._post(request_uri=request_uri,
request_body="",
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def load_model(self, model_name, headers=None, query_params=None):
"""Request the inference server to load or reload specified model.
Parameters
----------
model_name : str
The name of the model to be loaded.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Raises
------
InferenceServerException
If unable to load the model.
"""
request_uri = "v2/repository/models/{}/load".format(quote(model_name))
response = self._post(request_uri=request_uri,
request_body="",
headers=headers,
query_params=query_params)
_raise_if_error(response)
if self._verbose:
print("Loaded model '{}'".format(model_name))
def unload_model(self, model_name, headers=None, query_params=None):
"""Request the inference server to unload specified model.
Parameters
----------
model_name : str
The name of the model to be unloaded.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Raises
------
InferenceServerException
If unable to unload the model.
"""
request_uri = "v2/repository/models/{}/unload".format(quote(model_name))
response = self._post(request_uri=request_uri,
request_body="",
headers=headers,
query_params=query_params)
_raise_if_error(response)
if self._verbose:
print("Loaded model '{}'".format(model_name))
def get_inference_statistics(self,
model_name="",
model_version="",
headers=None,
query_params=None):
"""Get the inference statistics for the specified model name and
version.
Parameters
----------
model_name : str
The name of the model to get statistics. The default value is
an empty string, which means statistics of all models will
be returned.
model_version: str
The version of the model to get inference statistics. The
default value is an empty string which means then the server
will return the statistics of all available model versions.
headers: dict
Optional dictionary specifying additional HTTP
headers to include in the request.
query_params: dict
Optional url query parameters to use in network
transaction
Returns
-------
dict
The JSON dict holding the model inference statistics.
Raises
------
InferenceServerException
If unable to get the model inference statistics.
"""
if model_name != "":
if type(model_version) != str:
raise_error("model version must be a string")
if model_version != "":
request_uri = "v2/models/{}/versions/{}/stats".format(
quote(model_name), model_version)
else:
request_uri = "v2/models/{}/stats".format(quote(model_name))
else:
request_uri = "v2/models/stats"
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def get_system_shared_memory_status(self,
region_name="",
headers=None,
query_params=None):
"""Request system shared memory status from the server.
Parameters
----------
region_name : str
The name of the region to query status. The default
value is an empty string, which means that the status
of all active system shared memory will be returned.
headers: dict
Optional dictionary specifying additional HTTP
headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Returns
-------
dict
The JSON dict holding system shared memory status.
Raises
------
InferenceServerException
If unable to get the status of specified shared memory.
"""
if region_name != "":
request_uri = "v2/systemsharedmemory/region/{}/status".format(
quote(region_name))
else:
request_uri = "v2/systemsharedmemory/status"
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def register_system_shared_memory(self,
name,
key,
byte_size,
offset=0,
headers=None,
query_params=None):
"""Request the server to register a system shared memory with the
following specification.
Parameters
----------
name : str
The name of the region to register.
key : str
The key of the underlying memory object that contains the
system shared memory region.
byte_size : int
The size of the system shared memory region, in bytes.
offset : int
Offset, in bytes, within the underlying memory object to
the start of the system shared memory region. The default
value is zero.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Raises
------
InferenceServerException
If unable to register the specified system shared memory.
"""
request_uri = "v2/systemsharedmemory/region/{}/register".format(
quote(name))
register_request = {
'key': key,
'offset': offset,
'byte_size': byte_size
}
request_body = json.dumps(register_request)
response = self._post(request_uri=request_uri,
request_body=request_body,
headers=headers,
query_params=query_params)
_raise_if_error(response)
if self._verbose:
print("Registered system shared memory with name '{}'".format(name))
def unregister_system_shared_memory(self,
name="",
headers=None,
query_params=None):
"""Request the server to unregister a system shared memory with the
specified name.
Parameters
----------
name : str
The name of the region to unregister. The default value is empty
string which means all the system shared memory regions will be
unregistered.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Raises
------
InferenceServerException
If unable to unregister the specified system shared memory region.
"""
if name != "":
request_uri = "v2/systemsharedmemory/region/{}/unregister".format(
quote(name))
else:
request_uri = "v2/systemsharedmemory/unregister"
response = self._post(request_uri=request_uri,
request_body="",
headers=headers,
query_params=query_params)
_raise_if_error(response)
if self._verbose:
if name is not "":
print("Unregistered system shared memory with name '{}'".format(
name))
else:
print("Unregistered all system shared memory regions")
def get_cuda_shared_memory_status(self,
region_name="",
headers=None,
query_params=None):
"""Request cuda shared memory status from the server.
Parameters
----------
region_name : str
The name of the region to query status. The default
value is an empty string, which means that the status
of all active cuda shared memory will be returned.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Returns
-------
dict
The JSON dict holding cuda shared memory status.
Raises
------
InferenceServerException
If unable to get the status of specified shared memory.
"""
if region_name != "":
request_uri = "v2/cudasharedmemory/region/{}/status".format(
quote(region_name))
else:
request_uri = "v2/cudasharedmemory/status"
response = self._get(request_uri=request_uri,
headers=headers,
query_params=query_params)
_raise_if_error(response)
content = response.read()
if self._verbose:
print(content)
return json.loads(content)
def register_cuda_shared_memory(self,
name,
raw_handle,
device_id,
byte_size,
headers=None,
query_params=None):
"""Request the server to register a system shared memory with the
following specification.
Parameters
----------
name : str
The name of the region to register.
raw_handle : bytes
The raw serialized cudaIPC handle in base64 encoding.
device_id : int
The GPU device ID on which the cudaIPC handle was created.
byte_size : int
The size of the cuda shared memory region, in bytes.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Raises
------
InferenceServerException
If unable to register the specified cuda shared memory.
"""
request_uri = "v2/cudasharedmemory/region/{}/register".format(
quote(name))
register_request = {
'raw_handle': {
'b64': raw_handle
},
'device_id': device_id,
'byte_size': byte_size
}
request_body = json.dumps(register_request)
response = self._post(request_uri=request_uri,
request_body=request_body,
headers=headers,
query_params=query_params)
_raise_if_error(response)
if self._verbose:
print("Registered cuda shared memory with name '{}'".format(name))
def unregister_cuda_shared_memory(self,
name="",
headers=None,
query_params=None):
"""Request the server to unregister a cuda shared memory with the
specified name.
Parameters
----------
name : str
The name of the region to unregister. The default value is empty
string which means all the cuda shared memory regions will be
unregistered.
headers: dict
Optional dictionary specifying additional
HTTP headers to include in the request
query_params: dict
Optional url query parameters to use in network
transaction
Raises
------
InferenceServerException
If unable to unregister the specified cuda shared memory region.
"""
if name != "":
request_uri = "v2/cudasharedmemory/region/{}/unregister".format(
quote(name))
else:
request_uri = "v2/cudasharedmemory/unregister"
response = self._post(request_uri=request_uri,
request_body="",
headers=headers,
query_params=query_params)
_raise_if_error(response)
if self._verbose:
if name is not "":
print("Unregistered cuda shared memory with name '{}'".format(
name))
else:
print("Unregistered all cuda shared memory regions")
def infer(self,
model_name,
inputs,
model_version="",
outputs=None,
request_id="",