!11431 Add GPU kernel Print

From: @TFbunny
Reviewed-by: 
Signed-off-by:

mindspore/ccsrc/backend/kernel_compiler/gpu/debug/print_gpu_kernel.cc

@@ -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

mindspore/ccsrc/backend/kernel_compiler/gpu/debug/print_gpu_kernel.h

@@ -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_

mindspore/ops/operations/debug_ops.py

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