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Npu test #10358

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Npu test #10358

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10fb27a
npu_test
zkyntu Nov 26, 2023
25c2cef
Merge branch 'master' of github.com:Oneflow-Inc/oneflow into npu_test
zkyntu Nov 26, 2023
1cf5124
Update .gitignore
zkyseu Nov 27, 2023
6e3d443
Update cpu.cmake
zkyseu Nov 27, 2023
717181c
Merge branch 'master' into npu_test
levi131 Feb 22, 2024
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1 change: 1 addition & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
/build
/build1
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/build-*
/docs/build/
/docs/build-cn/
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1 change: 1 addition & 0 deletions cmake/caches/cn/cpu.cmake
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@@ -1,3 +1,4 @@
set(BUILD_CUDA NO CACHE BOOL "")
set(BUILD_SHARED_LIBS YES CACHE BOOL "")
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set(THIRD_PARTY_MIRROR aliyun CACHE STRING "")
set(PIP_INDEX_MIRROR "https://pypi.tuna.tsinghua.edu.cn/simple" CACHE STRING "")
2 changes: 1 addition & 1 deletion oneflow/ir/oneflow-lite/include/OneFlow/Transform/Lowering/LoweringAscendUtils.h
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Expand Up @@ -30,7 +30,7 @@ limitations under the License.
// huawei ascend sdk headers
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wignored-qualifiers"
#include "op_proto/built-in/inc/all_ops.h"
#include "built-in/op_proto/inc/all_ops.h"
#pragma GCC diagnostic pop

namespace mlir {
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3 changes: 3 additions & 0 deletions oneflow/ir/oneflow-lite/lib/OneFlow/ConvertToLiteExecutable.cpp
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Expand Up @@ -116,6 +116,9 @@ static flatbuffers_vec_ref_t createLiteOpAttrs(FlatbufferBuilder& builder, Opera
} else if (attrType.value() == ::oneflow::kAtListString) {
strAttrType = "strs";
serializeStringsAttr(attrBuilder, attrValue);
} else if (attrType.value() == ::oneflow::kAtBytes) {
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strAttrType = "str";
serializeStringAttr(attrBuilder, attrValue);
} else {
llvm::errs() << "error attribute type: " << attrType.value() << "\n";
exit(1);
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28 changes: 14 additions & 14 deletions oneflow/ir/oneflow-lite/lib/OneFlow/Transform/Lowering/LoweringAscend.cpp
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Expand Up @@ -37,7 +37,7 @@ limitations under the License.
// huawei ascend sdk headers
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wignored-qualifiers"
#include "op_proto/built-in/inc/all_ops.h"
#include "built-in/op_proto/inc/all_ops.h"
#pragma GCC diagnostic pop

namespace mlir {
Expand Down Expand Up @@ -168,7 +168,7 @@ void AscendCompiler::addInputs(llvm::SmallVector<Value, 4>& operands) {
}

void AscendCompiler::lowerOp(VariableOp op, StringRef checkpointDir) {
auto ascendType = convertAscendType(op.data_typeAttr(), op.shapeAttr());
auto ascendType = convertAscendType(op.getDataTypeAttr(), op.getShapeAttr());
llvm::SmallString<128> inputFilename;
llvm::sys::path::native(checkpointDir + "/" + op.getOpName() + "/out", inputFilename);
std::string errorMessage;
Expand All @@ -191,11 +191,11 @@ void AscendCompiler::lowerOp(VariableOp op, StringRef checkpointDir) {

void AscendCompiler::lowerOp(Conv2DOp op) {
auto conv2DOp = createOp<ge::op::Conv2D>(op.getOpName());
conv2DOp->set_attr_pads(convertPaddings(op.padding_before()));
conv2DOp->set_attr_pads(convertPaddings(op.getPaddingBefore()));
conv2DOp->set_attr_dilations(convertDilations(op.getDilationRate()));
conv2DOp->set_attr_strides(convertStrides(op.getStrides()));
conv2DOp->set_attr_groups(op.getGroups());
conv2DOp->set_attr_data_format(convertDataFormat(op.data_format()).data());
conv2DOp->set_attr_data_format(convertDataFormat(op.getDataFormat()).data());

SET_INPUT(conv2DOp, x, getValue(op.getIn()));
SET_INPUT(conv2DOp, filter, getValue(op.getWeight()));
Expand All @@ -205,10 +205,10 @@ void AscendCompiler::lowerOp(Conv2DOp op) {

auto output = AscendValue(conv2DOp, outType, "y");

if (op._add_to_output()) {
if (op.get_addToOutput()) {
auto addOp = createOp<ge::op::AddV2>(op.getOpName() + "_add_to_output");
SET_INPUT(addOp, x1, output);
SET_INPUT(addOp, x2, getValue(op._add_to_output()));
SET_INPUT(addOp, x2, getValue(op.get_addToOutput()));
addOp->update_output_desc_y(outType);
output = AscendValue(addOp, outType, "y");
}
Expand All @@ -229,10 +229,10 @@ void AscendCompiler::lowerOp(NormalizationInferenceOp op) {
batchNormOp->update_output_desc_y(outType);

auto output = AscendValue(batchNormOp, outType, "y");
if (op._add_to_output()) {
if (op.get_addToOutput()) {
auto addOp = createOp<ge::op::AddV2>(op.getOpName() + "_add_to_output");
SET_INPUT(addOp, x1, output);
SET_INPUT(addOp, x2, getValue(op._add_to_output()));
SET_INPUT(addOp, x2, getValue(op.get_addToOutput()));
addOp->update_output_desc_y(outType);
output = AscendValue(addOp, outType, "y");
}
Expand All @@ -252,7 +252,7 @@ void AscendCompiler::lowerOp(MaxPool2DOp op) {
maxPoolOp->set_attr_ksize(convertKernelSize(op.getKernelSize()));
maxPoolOp->set_attr_pads(convertPaddings(op.getPadding()));
maxPoolOp->set_attr_strides(convertStrides(op.getStride()));
maxPoolOp->set_attr_ceil_mode(op.ceil_mode());
maxPoolOp->set_attr_ceil_mode(op.getCeilMode());
maxPoolOp->set_attr_padding_mode("CALCULATED");
maxPoolOp->set_attr_global_pooling(false);

Expand All @@ -267,10 +267,10 @@ void AscendCompiler::lowerOp(AvgPool2DOp op) {
avgPoolOp->set_attr_ksize(convertKernelSize(op.getKernelSize()));
avgPoolOp->set_attr_pads(convertPaddings(op.getPadding()));
avgPoolOp->set_attr_strides(convertStrides(op.getStride()));
avgPoolOp->set_attr_ceil_mode(op.ceil_mode());
avgPoolOp->set_attr_ceil_mode(op.getCeilMode());
avgPoolOp->set_attr_padding_mode("CALCULATED");
avgPoolOp->set_attr_global_pooling(false);
avgPoolOp->set_attr_exclusive(!op.count_include_pad());
avgPoolOp->set_attr_exclusive(!op.getCountIncludePad());

SET_INPUT(avgPoolOp, x, getValue(op.getX()));
auto outType = convertAscendType(op.getY().getType());
Expand All @@ -289,7 +289,7 @@ void AscendCompiler::lowerOp(Add2Op op) {

void AscendCompiler::lowerOp(AdaptiveAvgPool2DOp op) {
auto adaptiveAvgPoolOp = createOp<ge::op::AdaptiveAvgPool2d>(op.getOpName());
ArrayAttr output_size = op.output_size();
ArrayAttr output_size = op.getOutputSize();
assert(output_size.size() == 2);
int64_t s0 = output_size[0].dyn_cast<IntegerAttr>().getSInt();
int64_t s1 = output_size[1].dyn_cast<IntegerAttr>().getSInt();
Expand All @@ -311,10 +311,10 @@ void AscendCompiler::lowerOp(MatmulOp op) {
matmulOp->update_output_desc_y(outType);

auto output = AscendValue(matmulOp, outType, "y");
if (op._add_to_output()) {
if (op.get_addToOutput()) {
auto addOp = createOp<ge::op::AddV2>(op.getOpName() + "_add_to_output");
SET_INPUT(addOp, x1, output);
SET_INPUT(addOp, x2, getValue(op._add_to_output()));
SET_INPUT(addOp, x2, getValue(op.get_addToOutput()));
addOp->update_output_desc_y(outType);
output = AscendValue(addOp, outType, "y");
}
Expand Down
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