未验证 提交 012886df 编写于 作者: J Jacek Czaja 提交者: GitHub

[DNNL] Softmax mkldnn op inplace support (#23197)

上级 75ebb48a
...@@ -132,3 +132,7 @@ set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library") ...@@ -132,3 +132,7 @@ set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library")
add_subdirectory(benchmark) add_subdirectory(benchmark)
cc_test(op_debug_string_test SRCS op_debug_string_test.cc DEPS elementwise_add_op) cc_test(op_debug_string_test SRCS op_debug_string_test.cc DEPS elementwise_add_op)
if(WITH_MKLDNN)
include(mkldnn/inplace_op_tests.cmake)
endif()
cc_test(test_mkldnn_op_inplace SRCS mkldnn/test_mkldnn_op_inplace.cc DEPS op_registry softmax_op softmax scope device_context enforce executor)
...@@ -93,8 +93,11 @@ class SoftmaxMKLDNNKernel : public paddle::framework::OpKernel<T> { ...@@ -93,8 +93,11 @@ class SoftmaxMKLDNNKernel : public paddle::framework::OpKernel<T> {
ctx.GetPlace(), ctx.OutputName("Out")); ctx.GetPlace(), ctx.OutputName("Out"));
auto softmax_src_memory_p = handler.AcquireSrcMemory(input); auto softmax_src_memory_p = handler.AcquireSrcMemory(input);
auto softmax_dst_memory_p = handler.AcquireDstMemory(output);
auto softmax_p = handler.AcquireForwardPrimitive(); auto softmax_p = handler.AcquireForwardPrimitive();
// For Inplace src and and dst are the same memory object
auto softmax_dst_memory_p = input->Holder() == output->Holder()
? softmax_src_memory_p
: handler.AcquireDstMemory(output);
mkldnn::stream astream(dev_ctx.GetEngine()); mkldnn::stream astream(dev_ctx.GetEngine());
softmax_p->execute(astream, {{MKLDNN_ARG_SRC, *softmax_src_memory_p}, softmax_p->execute(astream, {{MKLDNN_ARG_SRC, *softmax_src_memory_p},
......
// Copyright (c) 2020 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 <algorithm>
#include <cstdlib>
#include <memory>
#include <random>
#include "gtest/gtest.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/platform/place.h"
USE_OP(softmax);
USE_OP_DEVICE_KERNEL(softmax, MKLDNN);
namespace paddle {
namespace operators {
template <typename T>
bool TestMain(const platform::Place &place, const framework::DDim &dims) {
framework::Scope scope;
auto *x = scope.Var("x")->GetMutable<framework::LoDTensor>();
auto *y = scope.Var("y")->GetMutable<framework::LoDTensor>();
x->Resize(dims);
y->Resize(dims);
size_t numel = static_cast<size_t>(framework::product(dims));
auto x_ptr = x->mutable_data<T>(place);
auto y_ptr = y->mutable_data<T>(place);
std::uniform_real_distribution<T> dist(static_cast<T>(10.0),
static_cast<T>(20.0));
std::mt19937 engine;
for (size_t i = 0; i < numel; ++i) {
x_ptr[i] = dist(engine);
y_ptr[i] = static_cast<T>(0);
}
auto &pool = platform::DeviceContextPool::Instance();
// Out of place (reference) computation
auto op_ref = framework::OpRegistry::CreateOp(
"softmax", {{"X", {"x"}}}, {{"Out", {"y"}}}, {{"use_mkldnn", {true}}});
op_ref->Run(scope, place);
pool.Get(place)->Wait();
// Get reference (out of place) result
auto &ref_tensor = scope.FindVar("y")->Get<framework::LoDTensor>();
// In-place (to be tested) computation
auto op = framework::OpRegistry::CreateOp(
"softmax", {{"X", {"x"}}}, {{"Out", {"x"}}}, {{"use_mkldnn", {true}}});
op->Run(scope, place);
platform::DeviceContextPool::Instance().Get(place)->Wait();
// Get in-place result
auto &out_tensor = scope.FindVar("x")->Get<framework::LoDTensor>();
PADDLE_ENFORCE_EQ(
&out_tensor, x,
platform::errors::InvalidArgument(
"Input and output vars should share tensor for In-place test"));
// compare results
auto *ref_ptr = ref_tensor.data<T>();
auto *out_ptr = out_tensor.data<T>();
bool is_equal = std::equal(out_ptr, out_ptr + numel, ref_ptr);
return is_equal;
}
TEST(test_softmax_inplace, cpu_place) {
framework::DDim dims({32, 64});
platform::CPUPlace p;
ASSERT_TRUE(TestMain<float>(p, dims));
}
} // namespace operators
} // namespace paddle
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