From 09d407b047ce296cc4e7f72c7b8512389f81d594 Mon Sep 17 00:00:00 2001 From: YuanRisheng Date: Fri, 5 Nov 2021 11:05:53 +0800 Subject: [PATCH] [PTen]Support XPU for Flatten Kernel (#36957) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * initial tensor design & sign kernel demo * add move constructor for meta & add lodtensor * add dirs & sign xpu kernel * add mean cpu&cuda kernel impl * move sign & mean xpu & npu kernel * add selected_rows basic impl * refactor design, BaseTensor to DenseTensor, etc. * add scale mkldnn kernel * polish xpu & npu impl details * fix mkldnn reuse compile failed * change tensor operation lib name * rename util filename * add more comments * change TensorImplInterface to TensorInterface * add kernel key and factory * remove MKLDNNTensorMeta, add MKLDNNDenseTensor * change XXDeviceContext to XXContext * add base kernel registrar utils & test on sign * replace boost::any by paddle::any * fix several ci failed * fix npu compile error * add ordered map util * fix multiple ordered_map compile errors * move dev into include dir * support sign op in static op run * fix static op run error * fix new executor compile failed * add dygraph branch & remove sign_op.h * fix test_infer_no_need_buffer_slots * fix rocm compile link error * fix unitybuild error & clear glog * fix npu compile failed * skip quant trans test * fix part windows compile problem * fix xpu enforce error * fix inference test failed * remove ordered_map to solve quant failed * fix part of rcom compile faild * add more register kernels * revert scale kernel temporarily * fix code format error * add new kernel registrar marco * rename top to tcmpt * revert xpu, npu, mkldnn impl & remove op def * add kernel args parse functor to auto parse args * revert some change & add scale kernels * add op proto in dygraph kernelcontext building * polish kernel dispatch logic & nameing rule * fix scale kernel match error * fix scale test failed * add mean API and unittest * test mean api success * add branch to solve compiled error * skip clang format error * add mean skip rule in op_library * add dot kernel, api and unittest (#6) * remove old kernel and add symbol link * fix dot compiled failed * add merco for module declare * fix npu and xpu compile error * revert sign, mean, scale, dot kernel removing * add comment for keeping old kernel impl * fix mutable_data error * fix bfloat16 conflit * fix inference undef error * adapt to msvc compile rules * polish comment for template inst * add cmake template instantiation for win * fix backend to place device id bug * fix ifdef error * Op2functor (#7) * add kernel args maker class * make args maker non-const * remove debug log * modify codes by review options * split constructPrKernelContext function * fix output name bug * fix test_mean_op test_sign_op failed * fill_any_like kernel refactor (#10) * fill_any_like kernel refactor * remove useless code of full_like c++ api * skip dtype for fill_any_like * add attrs for kernel key constrcut * add use_pt_kernel Flags to control whether to use pt kernel (#13) * add use_pt_kernel Flags to control whether to use pt kernel * change the default value to true for cheking pt kernels * fix mutable_data cuda place error * move high level apis into hapi * remove selectedrows adapting temporarily * Support Scalar in Tensor Compute Library (#14) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * remove mkldnn tensor & polish details * use flat_hash_map and small_vector in kernel factory * Refactor flatten kernel (#12) * refactor flatten kernel * update infershape function * fix compile bugs * fix bugs when merge * fix compiler bugs * fix bugs when run test_flatten_api * fix bugs when run test * Revert "use flat_hash_map and small_vector in kernel factory" This reverts commit 23091495cfdd3df8cc1be592d30f09ea66a7c72b. * Move cpu, cuda and other device code into kernels (#15) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Perfect unitests (#16) * perfect unittest * update license * replace with flat_hash_map, small_vector (#19) * fix small_vector build error on windows platform * replace with flat_hash_map, small_vector * remove todo * Perfect unitests (#20) * perfect unittest * update license * fix bug when run tcmpt_utils_test * refactor execution adapting impl * fix insert conflit * Fix CI bug of test_yolov3 (#21) * fill_any_like kernel refactor * remove useless code of full_like c++ api * Support Scalar in Tensor Compute Library * add scalar in dygraph and static graph mode * keep the basic type for attr, instead of using scalar for all * merge the code * start refactor matmul * move cpu, cuda and other device modules into kernels * merge code * polish code in operator.cc * Fix CI bug of test_yolov3 * add the tensor base class, test=develop (#17) * update the tensor base class, test=develop * remove two funcs, test=develop * update the error msg, test=develop Co-authored-by: Chen Weihang * [no-verify] commit backend and tensor signature changes * Rename tcmpt to pten (#23) * rename tcmpt to pten * update omitted files for rename to pten * update omitted file for rename to pten * remove k of all enum var * remove kernel_instantiate (#26) * remove symbols and spatial_tensor * change common to functions * readd share tensor impl methods * add a candidate dense tensor class, test=develop (#28) * change all Pt to Pten * resolve conflit with xiaowei * Op2functor opt1 (#27) * replace to small vector and change to const & * add std::move Co-authored-by: Chen Weihang * polish kernel factory and kernel registry * fix operator test error msg mismatch * remove tensor signature and backend set member * move scalar and polish enforce * revert dtype layout change to fix error * fix enum operator override error * Add Intermediate API layer * add several base unittests * add pten utils tests * polish some details * Dev/op2func refactor 3 (#30) * add a candidate dense tensor class, test=develop * remove TensorBase::backend(), test=develop * remove some ops, test=develop * cherry-pick the pr of tensor meta, test=develop * moves the dense tensor and some ops, test=develop * update the linalg operator, test=develop * update other operators, test=develop * fix errors, test=develop * fix bugs, test=develop * try to resolve the problem of windows ci, test=develop * updates codes, test=develop * fix the tensor_utils.cc, test=develop * modify the dense tensor, test=develop * fix the data type, test=develop Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com> * intermediate api adapt to new dense tensor * add some TODO and delete include header * Support XPU for Flatten Kernel * fix bugs when run kunlun ci * fix compile bugs * fix bugs for kunlun ci * fix compile bugs when run kunlun * fix compile bugs in kunlun * fix compile bugs in kunlun * fix bugs when compile * fix bugs when compile * fix compile bug * delete useless annotation Co-authored-by: Chen Weihang Co-authored-by: chentianyu03 Co-authored-by: zyfncg <1370305206@qq.com> Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com> --- paddle/fluid/operators/flatten_op.cc | 44 ++++--------- paddle/fluid/operators/flatten_op.h | 18 ++++-- paddle/pten/CMakeLists.txt | 4 +- paddle/pten/include/manipulation.h | 1 + paddle/pten/kernels/xpu/CMakeLists.txt | 2 + paddle/pten/kernels/xpu/manipulation.cc | 82 +++++++++++++++++++++++++ paddle/pten/kernels/xpu/manipulation.h | 38 ++++++++++++ paddle/pten/kernels/xpu/utils.cc | 81 ++++++++++++++++++++++++ paddle/pten/kernels/xpu/utils.h | 34 ++++++++++ 9 files changed, 265 insertions(+), 39 deletions(-) create mode 100644 paddle/pten/kernels/xpu/manipulation.cc create mode 100644 paddle/pten/kernels/xpu/manipulation.h create mode 100644 paddle/pten/kernels/xpu/utils.cc create mode 100644 paddle/pten/kernels/xpu/utils.h diff --git a/paddle/fluid/operators/flatten_op.cc b/paddle/fluid/operators/flatten_op.cc index 14f2e9061b..517422af1f 100644 --- a/paddle/fluid/operators/flatten_op.cc +++ b/paddle/fluid/operators/flatten_op.cc @@ -79,14 +79,6 @@ class FlattenOp : public framework::OperatorWithKernel { const framework::ExecutionContext &ctx) const override { auto input_data_type = framework::OperatorWithKernel::IndicateVarDataType(ctx, "X"); - - //#ifdef PADDLE_WITH_MKLDNN - // if (this->CanMKLDNNBeUsed(ctx, input_data_type)) { - // return framework::OpKernelType(input_data_type, ctx.GetPlace(), - // framework::DataLayout::kMKLDNN, - // framework::LibraryType::kMKLDNN); - // } - //#endif return framework::OpKernelType(input_data_type, ctx.GetPlace()); } }; @@ -157,14 +149,6 @@ class FlattenGradOp : public framework::OperatorWithKernel { const framework::ExecutionContext &ctx) const override { auto input_data_type = framework::OperatorWithKernel::IndicateVarDataType( ctx, framework::GradVarName("Out")); - - //#ifdef PADDLE_WITH_MKLDNN - // if (this->CanMKLDNNBeUsed(ctx, input_data_type)) { - // return framework::OpKernelType(input_data_type, ctx.GetPlace(), - // framework::DataLayout::kMKLDNN, - // framework::LibraryType::kMKLDNN); - // } - //#endif return framework::OpKernelType(input_data_type, ctx.GetPlace()); } }; @@ -227,14 +211,6 @@ class Flatten2Op : public framework::OperatorWithKernel { const framework::ExecutionContext &ctx) const override { auto input_data_type = framework::OperatorWithKernel::IndicateVarDataType(ctx, "X"); - - //#ifdef PADDLE_WITH_MKLDNN - // if (this->CanMKLDNNBeUsed(ctx, input_data_type)) { - // return framework::OpKernelType(input_data_type, ctx.GetPlace(), - // framework::DataLayout::kMKLDNN, - // framework::LibraryType::kMKLDNN); - // } - //#endif return framework::OpKernelType(input_data_type, ctx.GetPlace()); } }; @@ -285,14 +261,6 @@ class Flatten2GradOp : public framework::OperatorWithKernel { const framework::ExecutionContext &ctx) const override { auto input_data_type = framework::OperatorWithKernel::IndicateVarDataType( ctx, framework::GradVarName("Out")); - - //#ifdef PADDLE_WITH_MKLDNN - // if (this->CanMKLDNNBeUsed(ctx, input_data_type)) { - // return framework::OpKernelType(input_data_type, ctx.GetPlace(), - // framework::DataLayout::kMKLDNN, - // framework::LibraryType::kMKLDNN); - // } - //#endif return framework::OpKernelType(input_data_type, ctx.GetPlace()); } }; @@ -365,6 +333,18 @@ class FlattenContiguousRangeOp : public framework::OperatorWithKernel { return out_shape; } + + framework::KernelSignature GetExpectedPtenKernelArgs( + const framework::ExecutionContext &ctx) const override { + if (ctx.HasOutput("XShape")) { + return framework::KernelSignature("flatten_contiguous_range.mid", {"X"}, + {"start_axis", "stop_axis"}, + {"Out", "XShape"}); + } else { + return framework::KernelSignature("flatten_contiguous_range", {"X"}, + {"start_axis", "stop_axis"}, {"Out"}); + } + } }; class FlattenContiguousRangeOpMaker : public FlattenOpMaker { diff --git a/paddle/fluid/operators/flatten_op.h b/paddle/fluid/operators/flatten_op.h index efcb0cbe2e..7d08a95821 100644 --- a/paddle/fluid/operators/flatten_op.h +++ b/paddle/fluid/operators/flatten_op.h @@ -15,10 +15,13 @@ limitations under the License. */ #pragma once #include #include "paddle/fluid/framework/op_registry.h" +#include "paddle/fluid/framework/pten_utils.h" #include "paddle/fluid/operators/math/blas.h" #include "paddle/fluid/operators/math/math_function.h" #include "paddle/fluid/operators/math/pooling.h" #include "paddle/fluid/platform/device_context.h" +#include "paddle/pten/include/core.h" +#include "paddle/pten/include/manipulation.h" namespace paddle { namespace operators { @@ -122,13 +125,16 @@ class FlattenContiguousRangeKernel : public framework::OpKernel { void Compute(const framework::ExecutionContext &context) const override { auto *in = context.Input("X"); auto *out = context.Output("Out"); - auto out_dims = out->dims(); - out->mutable_data(context.GetPlace(), in->type()); - framework::TensorCopy( - *in, context.GetPlace(), - context.template device_context(), out); - out->Resize(out_dims); + auto &start_axis = context.Attr("start_axis"); + auto &stop_axis = context.Attr("stop_axis"); + auto &dev_ctx = context.device_context(); + + auto pt_x = paddle::experimental::MakePtenDenseTensor(*in); + auto pt_out = paddle::experimental::MakePtenDenseTensor(*out); + + // call new kernel + pten::Flatten(dev_ctx, *pt_x.get(), start_axis, stop_axis, pt_out.get()); } }; diff --git a/paddle/pten/CMakeLists.txt b/paddle/pten/CMakeLists.txt index 0444fa593c..e72ec1f8ae 100644 --- a/paddle/pten/CMakeLists.txt +++ b/paddle/pten/CMakeLists.txt @@ -17,5 +17,7 @@ set(PTEN_DEPS ${PTEN_DEPS} unary binary) if(WITH_GPU OR WITH_ROCM) set(PTEN_DEPS ${PTEN_DEPS} math_cuda linalg_cuda creation_cuda manipulation_cuda) endif() - +if(WITH_XPU) + set(PTEN_DEPS ${PTEN_DEPS} manipulation_xpu) +endif() cc_library(pten SRCS all.cc DEPS ${PTEN_DEPS}) diff --git a/paddle/pten/include/manipulation.h b/paddle/pten/include/manipulation.h index 236f7c7af9..e10f296dbd 100644 --- a/paddle/pten/include/manipulation.h +++ b/paddle/pten/include/manipulation.h @@ -19,6 +19,7 @@ #include "paddle/pten/include/infershape.h" #include "paddle/pten/kernels/cpu/manipulation.h" #include "paddle/pten/kernels/cuda/manipulation.h" +#include "paddle/pten/kernels/xpu/manipulation.h" namespace pten { diff --git a/paddle/pten/kernels/xpu/CMakeLists.txt b/paddle/pten/kernels/xpu/CMakeLists.txt index e69de29bb2..3ba070bdd6 100644 --- a/paddle/pten/kernels/xpu/CMakeLists.txt +++ b/paddle/pten/kernels/xpu/CMakeLists.txt @@ -0,0 +1,2 @@ +cc_library(utils_xpu SRCS utils.cc DEPS dense_tensor kernel_context kernel_factory memory convert_utils) +cc_library(manipulation_xpu SRCS manipulation.cc DEPS dense_tensor kernel_context kernel_factory utils_xpu unary) diff --git a/paddle/pten/kernels/xpu/manipulation.cc b/paddle/pten/kernels/xpu/manipulation.cc new file mode 100644 index 0000000000..379e459a60 --- /dev/null +++ b/paddle/pten/kernels/xpu/manipulation.cc @@ -0,0 +1,82 @@ +// 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/pten/kernels/xpu/manipulation.h" +#include "paddle/pten/infershape/unary.h" +#include "paddle/pten/kernels/xpu/utils.h" + +namespace pten { + +template +void Flatten(const XPUContext& dev_ctx, + const DenseTensor& x, + int start_axis, + int stop_axis, + DenseTensor* out) { + auto out_dims = out->dims(); + pten::Copy(dev_ctx, x, out); + out->Resize(out_dims); +} + +// TODO(yuanrisheng): this kernel is for training and xshape is a Intermediate +// Output Tensor， +// is there a more flexible way to deal with this case? +template +void FlattenWithXShape(const XPUContext& dev_ctx, + const DenseTensor& x, + int start_axis, + int stop_axis, + DenseTensor* out, + DenseTensor* xshape) { + Flatten(dev_ctx, x, start_axis, stop_axis, out); + const auto& in_dims = x.dims(); + std::vector xshape_dims(in_dims.size() + 1); + xshape_dims[0] = 0; + for (int i = 0; i < in_dims.size(); ++i) { + xshape_dims[i + 1] = in_dims[i]; + } + xshape->Resize(paddle::framework::make_ddim(xshape_dims)); + xshape->set_lod(x.lod()); +} + +} // namespace pten + +// TODO(chenweihang): replace by better impl +PT_REGISTER_MODULE(ManipulationXPU); + +// TODO(yuanrisheng): "flatten_contiguous_range" is compatible with old kernel +// architecture, kernel_name should be "flatten". +PT_REGISTER_KERNEL("flatten_contiguous_range", + XPU, + ANY, + pten::Flatten, + float, + paddle::platform::float16, + double, + uint8_t, + int8_t, + int, + int64_t) {} + +PT_REGISTER_KERNEL("flatten_contiguous_range.mid", + XPU, + ANY, + pten::FlattenWithXShape, + float, + paddle::platform::float16, + double, + uint8_t, + int8_t, + int, + int64_t) {} diff --git a/paddle/pten/kernels/xpu/manipulation.h b/paddle/pten/kernels/xpu/manipulation.h new file mode 100644 index 0000000000..02947759b4 --- /dev/null +++ b/paddle/pten/kernels/xpu/manipulation.h @@ -0,0 +1,38 @@ +/* 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. */ + +#pragma once + +#ifdef PADDLE_WITH_XPU + +#include "paddle/pten/core/dense_tensor.h" +#include "paddle/pten/core/kernel_registry.h" + +// See Note [ Why still include the fluid headers? ] +#include "paddle/fluid/platform/device_context.h" + +namespace pten { + +using XPUContext = paddle::platform::XPUDeviceContext; + +template +void Flatten(const XPUContext& dev_ctx, + const DenseTensor& x, + int start_axis, + int stop_axis, + DenseTensor* out); + +} // namespace pten + +#endif diff --git a/paddle/pten/kernels/xpu/utils.cc b/paddle/pten/kernels/xpu/utils.cc new file mode 100644 index 0000000000..33bdc66ff0 --- /dev/null +++ b/paddle/pten/kernels/xpu/utils.cc @@ -0,0 +1,81 @@ +/* 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/pten/kernels/xpu/utils.h" +#include "paddle/fluid/memory/memcpy.h" +#include "paddle/pten/common/data_type.h" +#include "paddle/pten/core/convert_utils.h" + +namespace pten { + +void Copy(const XPUDeviceContext& dev_ctx, + const DenseTensor& src, + DenseTensor* dst) { + auto* src_ptr = src.data(); + auto* dst_ptr = dst->mutable_data(); + const auto& src_place = src.place(); + const auto& dst_place = dst->place(); + + if (src_ptr == dst_ptr && src_place == dst_place) { + VLOG(3) << "Skip copy the same data async from " << src_place << " to " + << dst_place; + return; + } + VLOG(4) << "src:" << src_ptr << ", dst:" << dst_ptr; + + VLOG(3) << "TensorCopy " << src.dims() << " from " << src.place() << " to " + << dst_place; + dst->Resize(src.dims()); + CHECK(dst->layout() == src.layout()); + auto size = src.numel() * paddle::framework::SizeOfType( + TransToProtoVarType(src.data_type())); + + if (paddle::platform::is_xpu_place(src_place) && // NOLINT + paddle::platform::is_cpu_place(dst_place)) { + paddle::memory::Copy(BOOST_GET_CONST(paddle::platform::CPUPlace, dst_place), + dst_ptr, + BOOST_GET_CONST(paddle::platform::XPUPlace, src_place), + src_ptr, + size); + } else if (paddle::platform::is_cpu_place(src_place) && + paddle::platform::is_xpu_place(dst_place)) { + paddle::memory::Copy(BOOST_GET_CONST(paddle::platform::XPUPlace, dst_place), + dst_ptr, + BOOST_GET_CONST(paddle::platform::CPUPlace, src_place), + src_ptr, + size); + } else if (paddle::platform::is_xpu_place(src_place) && + paddle::platform::is_xpu_place(dst_place)) { + if (src_ptr == dst_ptr) { + VLOG(3) << "Skip copy the same data async from " << src_place << " to " + << dst_place; + return; + } + paddle::memory::Copy(BOOST_GET_CONST(paddle::platform::XPUPlace, dst_place), + dst_ptr, + BOOST_GET_CONST(paddle::platform::XPUPlace, src_place), + src_ptr, + size); + } else { + PADDLE_THROW(paddle::platform::errors::Unimplemented( + "Copy from %s to %s is not supported.", src_place, dst_place)); + } +} + +} // namespace pten + +// TODO(chenweihang): replace by better impl +PT_REGISTER_MODULE(UtilsXPU); + +PT_REGISTER_KERNEL_WITH_NO_TYPE("copy", XPU, ANY, pten::Copy) {} diff --git a/paddle/pten/kernels/xpu/utils.h b/paddle/pten/kernels/xpu/utils.h new file mode 100644 index 0000000000..c92812ed68 --- /dev/null +++ b/paddle/pten/kernels/xpu/utils.h @@ -0,0 +1,34 @@ +/* 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. */ + +#pragma once + +#ifdef PADDLE_WITH_XPU + +#include "paddle/pten/core/dense_tensor.h" +#include "paddle/pten/core/kernel_registry.h" + +// See Note [ Why still include the fluid headers? ] +#include "paddle/fluid/platform/device_context.h" +namespace pten { + +using XPUDeviceContext = paddle::platform::XPUDeviceContext; + +void Copy(const XPUDeviceContext& dev_ctx, + const DenseTensor& src, + DenseTensor* dst); + +} // namespace pten + +#endif -- GitLab