!4925 [MS][LITE][GPU]add reshape test case

Merge pull request !4925 from chenzupeng/master-lite

mindspore/lite/src/runtime/kernel/opencl/kernel/depthwise_conv2d.cc

@@ -49,7 +49,7 @@ int DepthwiseConv2dOpenCLKernel::Init() {
     MS_LOG(ERROR) << "input format(" << in_format << ") "
                   << "format not support!";
   }
-  if (mem_type_ == MEM_TYPE::BUF) {
+  if (out_mem_type_ == OpenCLMemType::BUF) {
     kernel_name += "_BUF";
   } else {
     kernel_name += "_IMG";
@@ -73,7 +73,7 @@ int DepthwiseConv2dOpenCLKernel::Init() {
   ocl_runtime->BuildKernel(kernel_, program_name, kernel_name, build_options);
 #endif
   this->InitBuffer();
-  MS_LOG(DEBUG) << kernel_name << " Init Done! mem type=" << static_cast<int>(mem_type_);
+  MS_LOG(DEBUG) << kernel_name << " Init Done! mem type=" << static_cast<int>(out_mem_type_);
   return RET_OK;
 }
 

mindspore/lite/src/runtime/kernel/opencl/kernel/depthwise_conv2d.h

@@ -49,7 +49,6 @@ class DepthwiseConv2dOpenCLKernel : public OpenCLKernel {
   FLOAT_t *packed_weight_;
   FLOAT_t *bias_data_;
   cl::Kernel kernel_;
-  enum class MEM_TYPE { BUF, IMG } mem_type_{MEM_TYPE::IMG};
 };
 }  // namespace mindspore::kernel
 

mindspore/lite/src/runtime/kernel/opencl/kernel/pooling2d.cc

@@ -64,7 +64,7 @@ int PoolingOpenCLKernel::Init() {
 #ifdef PROGRAM_WITH_IL
   ocl_runtime->CreateKernelFromIL(kernel_(), kernel_name);
 #else
-  if (mem_type_ == MEM_TYPE::BUF) {
+  if (out_mem_type_ == OpenCLMemType::BUF) {
     kernel_name += "_BUF";
   } else {
     kernel_name += "_IMG";

mindspore/lite/src/runtime/kernel/opencl/kernel/pooling2d.h

@@ -42,7 +42,6 @@ class PoolingOpenCLKernel : public OpenCLKernel {
 
  private:
   std::vector<size_t> InitGlobalSize() const;
-  enum class MEM_TYPE { BUF, IMG } mem_type_{MEM_TYPE::IMG};
   PoolingParameter *parameter_;
   cl::Kernel kernel_;
 };

mindspore/lite/src/runtime/kernel/opencl/kernel/reshape.cc

@@ -33,7 +33,17 @@ namespace mindspore::kernel {
 int ReshapeOpenCLKernel::Init() {
   std::string kernel_name = "reshape";
   auto ocl_runtime = lite::opencl::OpenCLRuntime::GetInstance();
-
+  in_ori_format_ = in_tensors_[0]->GetFormat();
+  out_ori_format_ = out_tensors_[0]->GetFormat();
+  if (in_ori_format_ != schema::Format_NHWC4 && in_ori_format_ != schema::Format_NHWC) {
+    MS_LOG(ERROR) << "Reshape input format:" << in_ori_format_ << " not support yet.";
+    return RET_ERROR;
+  }
+  if (in_tensors_[0]->shape().back() != out_tensors_[0]->shape().back()) {
+    MS_LOG(ERROR) << "Reshape input channel " << in_tensors_[0]->shape().back() << " should equal output channel"
+                  << out_tensors_[0]->shape().back();
+    return RET_ERROR;
+  }
 #ifdef PROGRAM_WITH_IL
   ocl_runtime->CreateKernelFromIL(kernel_(), kernel_name);
 #else
@@ -43,9 +53,7 @@ int ReshapeOpenCLKernel::Init() {
   ocl_runtime->LoadSource(program_name, source);
   ocl_runtime->BuildKernel(kernel_, program_name, kernel_name, build_options);
 #endif
-  in_ori_format_ = in_tensors_[0]->GetFormat();
   in_tensors_[0]->SetFormat(schema::Format_NHWC4);
-  out_ori_format_ = out_tensors_[0]->GetFormat();
   out_tensors_[0]->SetFormat(schema::Format_NHWC4);
   if (out_tensors_[0]->shape().size() == 2) {
     out_ori_format_ = schema::Format_NC;

mindspore/lite/src/runtime/kernel/opencl/kernel/slice.cc

@@ -56,7 +56,9 @@ int SliceOpenCLKernel::Init() {
   auto ocl_runtime = lite::opencl::OpenCLRuntime::GetInstance();
   ocl_runtime->LoadSource(program_name, source);
   ocl_runtime->BuildKernel(kernel_, program_name, kernel_name, build_options);
-  ori_format_ = out_tensors_[0]->GetFormat();
+  in_ori_format_ = in_tensors_[0]->GetFormat();
+  in_tensors_[0]->SetFormat(schema::Format_NHWC4);
+  out_ori_format_ = out_tensors_[0]->GetFormat();
   out_tensors_[0]->SetFormat(schema::Format_NHWC4);
 
   return RET_OK;

mindspore/lite/test/CMakeLists.txt

@@ -337,6 +337,7 @@ if (SUPPORT_GPU)
             ${TEST_DIR}/ut/src/runtime/kernel/opencl/to_format_tests.cc
             ${TEST_DIR}/ut/src/runtime/kernel/opencl/caffe_prelu_tests.cc
             ${TEST_DIR}/ut/src/runtime/kernel/opencl/prelu_tests.cc
+            ${TEST_DIR}/ut/src/runtime/kernel/opencl/reshape_tests.cc
             )
 endif()
 

mindspore/lite/test/ut/src/runtime/kernel/opencl/reshape_tests.cc

@@ -0,0 +1,111 @@
+/**
+ * Copyright 2020 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 <iostream>
+#include <memory>
+#include "mindspore/core/utils/log_adapter.h"
+#include "common/common_test.h"
+#include "mindspore/lite/src/common/file_utils.h"
+#include "mindspore/lite/src/runtime/opencl/opencl_runtime.h"
+#include "mindspore/lite/src/runtime/kernel/opencl/subgraph_opencl_kernel.h"
+#include "mindspore/lite/src/runtime/kernel/opencl/kernel/reshape.h"
+
+namespace mindspore {
+class TestReshapeOpenCL : public mindspore::CommonTest {
+ public:
+  TestReshapeOpenCL() {}
+};
+
+TEST_F(TestReshapeOpenCL, ReshapeFp32) {
+  auto ocl_runtime = lite::opencl::OpenCLRuntime::GetInstance();
+  ocl_runtime->Init();
+  auto allocator = ocl_runtime->GetAllocator();
+  int c = 63;
+  size_t input_size;
+  std::string input_path = "./test_data/reshape/reshape_fp32_input.bin";
+  auto input_data = reinterpret_cast<float *>(mindspore::lite::ReadFile(input_path.c_str(), &input_size));
+  if (input_data == nullptr) {
+    MS_LOG(ERROR) << "input_data load error.";
+    return;
+  }
+  std::vector<int> input_shape = {1, 1, 1, c};
+  auto tensor_x_ptr =
+    std::make_unique<lite::tensor::Tensor>(TypeId(kNumberTypeFloat32), input_shape, schema::Format_NHWC);
+  auto tensor_x = tensor_x_ptr.get();
+  if (tensor_x == nullptr) {
+    MS_LOG(ERROR) << "tensor_x create error.";
+    return;
+  }
+  std::vector<int> out_shape = {1, c};
+  auto tensor_out_ptr =
+    std::make_unique<lite::tensor::Tensor>(TypeId(kNumberTypeFloat32), out_shape, schema::Format_NC);
+  auto tensor_out = tensor_out_ptr.get();
+  if (tensor_out == nullptr) {
+    MS_LOG(ERROR) << "tensor_out create error.";
+    return;
+  }
+  std::vector<lite::tensor::Tensor *> inputs{tensor_x};
+  std::vector<lite::tensor::Tensor *> outputs{tensor_out};
+  auto arith_kernel_ptr = std::make_unique<kernel::ReshapeOpenCLKernel>(nullptr, inputs, outputs);
+  auto arith_kernel = arith_kernel_ptr.get();
+  if (arith_kernel == nullptr) {
+    MS_LOG(ERROR) << "arith_kernel create error.";
+    return;
+  }
+  arith_kernel->Init();
+
+  inputs[0]->MallocData(allocator);
+
+  std::vector<kernel::LiteKernel *> kernels{arith_kernel};
+  auto pGraph_ptr = std::make_unique<kernel::SubGraphOpenCLKernel>(inputs, outputs, kernels, kernels, kernels);
+  auto pGraph = pGraph_ptr.get();
+  if (pGraph == nullptr) {
+    MS_LOG(ERROR) << "pGraph create error.";
+    return;
+  }
+  pGraph->Init();
+  memcpy(inputs[0]->Data(), input_data, input_size);
+  pGraph->Run();
+
+  size_t output_size;
+  std::string output_path = "./test_data/reshape/reshape_fp32_output.bin";
+  auto correct_data = reinterpret_cast<float *>(mindspore::lite::ReadFile(output_path.c_str(), &output_size));
+  if (correct_data == nullptr) {
+    MS_LOG(ERROR) << "correct_data create error.";
+    return;
+  }
+  printf("==================output data=================\n");
+  float *output_data = reinterpret_cast<float *>(tensor_out->Data());
+  std::cout << std::endl;
+  int size_n = c;
+  size_n = size_n > 100 ? 100 : size_n;
+  for (int i = 0; i < size_n; i++) {
+    std::cout << output_data[i] << " ";
+    if ((i + 1) % c == 0) {
+      std::cout << std::endl;
+    }
+  }
+  std::cout << std::endl;
+
+  // compare
+  CompareOutputData(output_data, correct_data, c, 0.00001);
+
+  inputs[0]->SetData(nullptr);
+  outputs[0]->SetData(nullptr);
+  lite::opencl::OpenCLRuntime::DeleteInstance();
+
+  MS_LOG(INFO) << "Test ReshapeFp32 passed";
+}
+}  // namespace mindspore