95 lines
3.9 KiB
C++
95 lines
3.9 KiB
C++
/* 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/framework/phi_utils.h"
|
|
|
|
#include "gtest/gtest.h"
|
|
#include "paddle/fluid/framework/lod_tensor.h"
|
|
#include "paddle/fluid/framework/selected_rows_utils.h"
|
|
#include "paddle/fluid/framework/variable.h"
|
|
|
|
TEST(PhiUtils, TransPhiKernelKeyToOpKernelType) {
|
|
phi::KernelKey kernel_key(
|
|
phi::Backend::CPU, phi::DataLayout::NCHW, phi::DataType::FLOAT32);
|
|
auto op_kernel_type =
|
|
paddle::framework::TransPhiKernelKeyToOpKernelType(kernel_key);
|
|
ASSERT_EQ(op_kernel_type.data_type_, paddle::framework::proto::VarType::FP32);
|
|
ASSERT_EQ(op_kernel_type.data_layout_, phi::DataLayout::kNCHW);
|
|
ASSERT_TRUE(phi::is_cpu_place(op_kernel_type.place_));
|
|
ASSERT_EQ(op_kernel_type.library_type_,
|
|
paddle::framework::LibraryType::kPlain);
|
|
|
|
#ifdef PADDLE_WITH_DNNL
|
|
phi::KernelKey kernel_key_onednn(
|
|
phi::Backend::ONEDNN, phi::DataLayout::NCHW, phi::DataType::FLOAT32);
|
|
op_kernel_type =
|
|
paddle::framework::TransPhiKernelKeyToOpKernelType(kernel_key_onednn);
|
|
ASSERT_EQ(op_kernel_type.data_type_, paddle::framework::proto::VarType::FP32);
|
|
ASSERT_EQ(op_kernel_type.data_layout_, phi::DataLayout::kNCHW);
|
|
ASSERT_TRUE(phi::is_cpu_place(op_kernel_type.place_));
|
|
ASSERT_EQ(op_kernel_type.library_type_,
|
|
paddle::framework::LibraryType::kMKLDNN);
|
|
#endif
|
|
|
|
#ifdef PADDLE_WITH_CUDA
|
|
phi::KernelKey kernel_key_cudnn(
|
|
phi::Backend::GPUDNN, phi::DataLayout::NCHW, phi::DataType::FLOAT32);
|
|
op_kernel_type =
|
|
paddle::framework::TransPhiKernelKeyToOpKernelType(kernel_key_cudnn);
|
|
ASSERT_EQ(op_kernel_type.data_type_, paddle::framework::proto::VarType::FP32);
|
|
ASSERT_EQ(op_kernel_type.data_layout_, phi::DataLayout::kNCHW);
|
|
ASSERT_TRUE(phi::is_gpu_place(op_kernel_type.place_));
|
|
ASSERT_EQ(op_kernel_type.library_type_,
|
|
paddle::framework::LibraryType::kCUDNN);
|
|
#endif
|
|
}
|
|
|
|
TEST(PhiUtils, TransOpKernelTypeToPhiKernelKey) {
|
|
paddle::framework::OpKernelType op_kernel_type(
|
|
paddle::framework::proto::VarType::FP32,
|
|
phi::CPUPlace(),
|
|
phi::DataLayout::kNCHW);
|
|
auto kernel_key =
|
|
paddle::framework::TransOpKernelTypeToPhiKernelKey(op_kernel_type);
|
|
ASSERT_EQ(kernel_key.dtype(), phi::DataType::FLOAT32);
|
|
ASSERT_EQ(kernel_key.layout(), phi::DataLayout::NCHW);
|
|
ASSERT_EQ(kernel_key.backend(), phi::Backend::CPU);
|
|
|
|
#ifdef PADDLE_WITH_DNNL
|
|
paddle::framework::OpKernelType op_kernel_type_onednn(
|
|
paddle::framework::proto::VarType::FP32,
|
|
phi::CPUPlace(),
|
|
phi::DataLayout::ONEDNN,
|
|
paddle::framework::LibraryType::kMKLDNN);
|
|
auto kernel_key_onednn =
|
|
paddle::framework::TransOpKernelTypeToPhiKernelKey(op_kernel_type_onednn);
|
|
ASSERT_EQ(kernel_key_onednn.dtype(), phi::DataType::FLOAT32);
|
|
ASSERT_EQ(kernel_key_onednn.layout(), phi::DataLayout::ONEDNN);
|
|
ASSERT_EQ(kernel_key_onednn.backend(), phi::Backend::ONEDNN);
|
|
#endif
|
|
|
|
#ifdef PADDLE_WITH_CUDA
|
|
paddle::framework::OpKernelType op_kernel_type_cudnn(
|
|
paddle::framework::proto::VarType::FP32,
|
|
phi::CPUPlace(),
|
|
phi::DataLayout::kNCHW,
|
|
paddle::framework::LibraryType::kCUDNN);
|
|
auto kernel_key_cudnn =
|
|
paddle::framework::TransOpKernelTypeToPhiKernelKey(op_kernel_type_cudnn);
|
|
ASSERT_EQ(kernel_key_cudnn.dtype(), phi::DataType::FLOAT32);
|
|
ASSERT_EQ(kernel_key_cudnn.layout(), phi::DataLayout::NCHW);
|
|
ASSERT_EQ(kernel_key_cudnn.backend(), phi::Backend::GPUDNN);
|
|
#endif
|
|
}
|