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add ipu device p2 (PaddlePaddle#37840)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,62 @@ | ||
| // 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. | ||
|
|
||
| #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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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,69 @@ | ||
| // 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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|
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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 | ||
| } | ||
| }; | ||
|
|
||
| } // namespace operators | ||
| } // namespace paddle |
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