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!11431 Add GPU kernel Print

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From: @TFbunny
Reviewed-by: 
Signed-off-by:
pull/11431/MERGE
mindspore-ci-bot 4 years ago committed by Gitee
parent 0beb38fdb0 1adfefd214
commit ecf5326959
3 changed files with 154 additions and 1 deletions
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55
mindspore/ccsrc/backend/kernel_compiler/gpu/debug/print_gpu_kernel.cc
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@ -0,0 +1,55 @@
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* 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 "backend/kernel_compiler/gpu/debug/print_gpu_kernel.h"
namespace mindspore {
namespace kernel {
MS_REG_GPU_KERNEL_ONE(Print,
KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8),
PrintGpuKernel, int8_t)
MS_REG_GPU_KERNEL_ONE(Print,
KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeInt16),
PrintGpuKernel, int16_t)
MS_REG_GPU_KERNEL_ONE(Print,
KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32),
PrintGpuKernel, int)
MS_REG_GPU_KERNEL_ONE(Print,
KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeInt64),
PrintGpuKernel, int64_t)
MS_REG_GPU_KERNEL_ONE(Print,
KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt8),
PrintGpuKernel, uint8_t)
MS_REG_GPU_KERNEL_ONE(Print,
KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeBool),
PrintGpuKernel, bool)
MS_REG_GPU_KERNEL_ONE(
Print, KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt16),
PrintGpuKernel, uint16_t)
MS_REG_GPU_KERNEL_ONE(
Print, KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt32),
PrintGpuKernel, uint32_t)
MS_REG_GPU_KERNEL_ONE(
Print, KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt64),
PrintGpuKernel, uint64_t)
MS_REG_GPU_KERNEL_ONE(
Print, KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeFloat16),
PrintGpuKernel, half)
MS_REG_GPU_KERNEL_ONE(
Print, KernelAttr().AddAllSameAttr(true).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
PrintGpuKernel, float)
} // namespace kernel
} // namespace mindspore

98
mindspore/ccsrc/backend/kernel_compiler/gpu/debug/print_gpu_kernel.h
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@ -0,0 +1,98 @@
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* 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.
*/
#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_DEBUG_PRINT_GPU_KERNEL_H_
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_DEBUG_PRINT_GPU_KERNEL_H_
#include <vector>
#include <memory>
#include "backend/kernel_compiler/gpu/gpu_kernel.h"
#include "backend/kernel_compiler/gpu/gpu_kernel_factory.h"
namespace mindspore {
namespace kernel {
template <typename T>
class PrintGpuKernel : public GpuKernel {
public:
PrintGpuKernel() { ResetResource(); }
~PrintGpuKernel() override = default;
const std::vector<size_t> &GetInputSizeList() const override { return input_size_list_; }
const std::vector<size_t> &GetOutputSizeList() const override { return output_size_list_; }
const std::vector<size_t> &GetWorkspaceSizeList() const override { return workspace_size_list_; }
bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
const std::vector<AddressPtr> &outputs, void *stream_ptr) override {
VARIABLE_NOT_USED(workspace);
VARIABLE_NOT_USED(outputs);
for (size_t i = 0; i < inputs.size(); i++) {
input_device_data_[i] = GetDeviceAddress<T>(inputs, i);
}
CHECK_CUDA_RET_WITH_EXCEPT(
kernel_node_,
cudaMemcpy(&input_host_data_[0], &input_device_data_[0], input_size_ * sizeof(T), cudaMemcpyDeviceToHost),
"cudaMemcpy output failed");
for (size_t i = 0; i < input_num_.size(); i++) {
for (size_t j = 0; j < input_num_[i]; j++) {
std::cout << input_host_data_[i][j];
}
}
return true;
}
bool Init(const CNodePtr &kernel_node) override {
kernel_node_ = kernel_node;
size_t input_tensor_num = AnfAlgo::GetInputTensorNum(kernel_node);
input_device_data_ = std::make_unique<T *[]>(input_tensor_num);
input_host_data_ = std::make_unique<T *[]>(input_tensor_num);
for (size_t i = 0; i < input_tensor_num; i++) {
size_t counter = 0;
auto input_shape = AnfAlgo::GetInputDeviceShape(kernel_node, i);
for (size_t j = 0; j < input_shape.size(); j++) {
input_size_ *= input_shape[j];
counter++;
}
input_num_.push_back(counter);
}
InitSizeLists();
return true;
}
void ResetResource() noexcept override {
input_size_ = 1;
input_device_data_ = nullptr;
input_host_data_ = nullptr;
input_num_.clear();
input_size_list_.clear();
output_size_list_.clear();
workspace_size_list_.clear();
}
protected:
void InitSizeLists() override { input_size_list_.push_back(input_size_ * sizeof(T)); }
private:
size_t input_size_;
std::unique_ptr<T *[]> input_device_data_;
std::unique_ptr<T *[]> input_host_data_;
std::vector<size_t> input_num_;
std::vector<size_t> input_size_list_;
std::vector<size_t> output_size_list_;
std::vector<size_t> workspace_size_list_;
}; // namespace kernel
} // namespace kernel
} // namespace mindspore
#endif // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_DEBUG_PRINT_GPU_KERNEL_H_

2
mindspore/ops/operations/debug_ops.py
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@ -337,7 +337,7 @@ class Print(PrimitiveWithInfer):
Supports multiple inputs which are separated by ','.
Supported Platforms:
``Ascend``
``Ascend`` ``GPU``
Examples:
>>> class PrintDemo(nn.Cell):

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