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Merge branch 'develop' of github.com:PaddlePaddle/Paddle into support…
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// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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#include "paddle/fluid/operators/ipu_runtime_op.h" | ||
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namespace paddle { | ||
namespace operators { | ||
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class IpuRuntimeOp : public framework::OperatorWithKernel { | ||
public: | ||
using framework::OperatorWithKernel::OperatorWithKernel; | ||
void InferShape(framework::InferShapeContext* ctx) const override {} | ||
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protected: | ||
framework::OpKernelType GetExpectedKernelType( | ||
const framework::ExecutionContext& ctx) const override { | ||
return framework::OpKernelType( | ||
framework::proto::VarType::Type(ctx.Attr<int>("dtype")), | ||
ctx.device_context()); | ||
} | ||
}; | ||
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class IpuRuntimeOpMaker : public framework::OpProtoAndCheckerMaker { | ||
public: | ||
void Make() override { | ||
AddInput("FeedList", "FeedList of Graph").AsDuplicable(); | ||
AddOutput("FetchList", "FetchList of Graph").AsDuplicable(); | ||
AddAttr<int>("dtype", | ||
"(int, default 5 (FP32)) " | ||
"Output data type") | ||
.SetDefault(framework::proto::VarType::FP32); | ||
AddComment(R"DOC( | ||
Run graph by PopART runtime. | ||
)DOC"); | ||
} | ||
}; | ||
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} // namespace operators | ||
} // namespace paddle | ||
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namespace ops = paddle::operators; | ||
REGISTER_OPERATOR(ipu_runtime, ops::IpuRuntimeOp, ops::IpuRuntimeOpMaker); | ||
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REGISTER_OP_IPU_KERNEL(ipu_runtime, ops::IpuRuntimeKernel<float>, | ||
ops::IpuRuntimeKernel<double>, | ||
ops::IpuRuntimeKernel<int>, | ||
ops::IpuRuntimeKernel<int64_t>, | ||
ops::IpuRuntimeKernel<bool>, | ||
ops::IpuRuntimeKernel<int8_t>, | ||
ops::IpuRuntimeKernel<paddle::platform::float16>); |
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// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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#pragma once | ||
#include <memory> | ||
#include <vector> | ||
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#include "paddle/fluid/framework/op_registry.h" | ||
#ifdef PADDLE_WITH_IPU | ||
#include "paddle/fluid/framework/ipu/ipu_backend.h" | ||
#include "paddle/fluid/framework/tensor.h" | ||
#endif | ||
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namespace paddle { | ||
namespace operators { | ||
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template <typename T> | ||
class IpuRuntimeKernel : public framework::OpKernel<T> { | ||
public: | ||
void Compute(const framework::ExecutionContext& ctx) const override { | ||
#ifdef PADDLE_WITH_IPU | ||
auto ipu_backend = framework::ipu::IpuBackend::GetInstance(); | ||
if (!ipu_backend->DeviceIsAttached()) { | ||
const platform::IPUDeviceContext& ipu_ctx = | ||
reinterpret_cast<const platform::IPUDeviceContext&>( | ||
ctx.device_context()); | ||
ipu_backend->AttachDevice(ipu_ctx.DeviceId()); | ||
} | ||
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auto inputs = ctx.MultiInput<framework::Tensor>("FeedList"); | ||
auto outputs = ctx.MultiOutput<framework::Tensor>("FetchList"); | ||
auto output_names = ctx.OutputNames("FetchList"); | ||
VLOG(4) << "IpuRuntime Kernel, begin to run graph"; | ||
ipu_backend->Run(inputs, outputs, ctx); | ||
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// post-run | ||
// resize tensor when tensor.dims() is empty | ||
for (size_t i = 0; i < outputs.size(); ++i) { | ||
auto* out = outputs[i]; | ||
if (out->dims().size() == 0) { | ||
auto tensor_dtype = out->type(); | ||
auto sizeof_dtype = framework::SizeOfType(tensor_dtype); | ||
int64_t dim = out->memory_size() / sizeof_dtype; | ||
out->Resize({dim}); | ||
VLOG(10) << "set ipu_runtime_op output: " << output_names[i] | ||
<< " dims from () to: " | ||
<< "(" << dim << ")"; | ||
} | ||
} | ||
#else | ||
PADDLE_THROW(platform::errors::PreconditionNotMet( | ||
"Please compile WITH_IPU option to enable ipu_runtime op")); | ||
#endif | ||
} | ||
}; | ||
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} // namespace operators | ||
} // namespace paddle |
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🕵️ CI failures summary
🔍 PR: #37498 Commit ID: 51d466a contains failed CI.
🔹 Failed: PR-CI-Windows-Inference
Unknown Failed