!4662 [MS][LITE]add fp16 reshape kernel and fix register kernel bug

Merge pull request !4662 from 张学同/to_merge

mindspore/lite/src/kernel_registry.cc

@@ -82,6 +82,11 @@ kernel::KernelCreator KernelRegistry::GetCreator(const KernelKey &desc) {
     return nullptr;
   }
   int index = GetCreatorFuncIndex(desc);
+  if (index >= array_size_) {
+    MS_LOG(ERROR) << "invalid kernel key, arch " << desc.arch << ", data_type" << desc.data_type << ",op type "
+                  << desc.type;
+    return nullptr;
+  }
   auto it = creator_arrays_[index];
   if (it != nullptr) {
     return it;
@@ -91,9 +96,9 @@ kernel::KernelCreator KernelRegistry::GetCreator(const KernelKey &desc) {
 
 int KernelRegistry::GetCreatorFuncIndex(const kernel::KernelKey desc) {
   int index;
-  int device_index = static_cast<int>(desc.arch);
-  int dType_index = static_cast<int>(desc.data_type);
-  int op_index = static_cast<int>(desc.type);
+  int device_index = static_cast<int>(desc.arch) - kKernelArch_MIN;
+  int dType_index = static_cast<int>(desc.data_type) - kNumberTypeBegin;
+  int op_index = static_cast<int>(desc.type) - PrimitiveType_MIN;
   index = device_index * data_type_length_ * op_type_length_ + dType_index * op_type_length_ + op_index;
   return index;
 }
@@ -115,6 +120,11 @@ void KernelRegistry::RegKernel(const KERNEL_ARCH arch, const TypeId data_type, c
   }
   KernelKey desc = {arch, data_type, op_type};
   int index = GetCreatorFuncIndex(desc);
+  if (index >= array_size_) {
+    MS_LOG(ERROR) << "invalid kernel key, arch " << desc.arch << ", data_type" << desc.data_type << ",op type "
+                  << desc.type;
+    return;
+  }
   creator_arrays_[index] = creator;
 }
 

mindspore/lite/src/runtime/kernel/arm/fp16/reshape_fp16.cc

@@ -0,0 +1,76 @@
+/**
+ * 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 "src/runtime/kernel/arm/fp16/reshape_fp16.h"
+#include <vector>
+#include "nnacl/fp16/cast_fp16.h"
+#include "nnacl/reshape.h"
+#include "schema/model_generated.h"
+#include "src/kernel_registry.h"
+#include "include/errorcode.h"
+
+using mindspore::kernel::KERNEL_ARCH::kCPU;
+using mindspore::lite::KernelRegistrar;
+using mindspore::lite::RET_ERROR;
+using mindspore::lite::RET_OK;
+using mindspore::schema::PrimitiveType_Reshape;
+
+namespace mindspore::kernel {
+
+int ReshapeCPUKernel::Run() {
+  auto ret = Prepare();
+  if (ret != RET_OK) {
+    MS_LOG(ERROR) << "Prepare fail!ret: " << ret;
+    return ret;
+  }
+  auto in_tensor = in_tensors_.at(kInputIndex);
+  auto out_tensor = out_tensors_.at(kOutputIndex);
+  auto input_ptr = in_tensor->Data();
+  auto output_ptr = out_tensor->Data();
+  size_t data_size = out_tensor->Size();
+
+  auto in_datatype = in_tensor->data_type();
+  auto out_datatype = out_tensor->data_type();
+  if (in_datatype != out_datatype) {
+    if (in_datatype == kNumberTypeFloat32 && out_datatype == kNumberTypeFloat16) {
+      input_ptr = context_->allocator->Malloc(in_tensor->ElementsNum() * sizeof(float16_t));
+      if (input_ptr == nullptr) {
+        MS_LOG(ERROR) << "malloc in tensor fail!";
+        return mindspore::lite::RET_MEMORY_FAILED;
+      }
+      Float32ToFloat16(reinterpret_cast<float *>(in_tensor->Data()), reinterpret_cast<float16_t *>(input_ptr),
+                       in_tensor->ElementsNum());
+    } else if ((in_datatype == kNumberTypeFloat16 && out_datatype == kNumberTypeFloat32)) {
+      input_ptr = context_->allocator->Malloc(in_tensor->ElementsNum() * sizeof(float));
+      if (input_ptr == nullptr) {
+        MS_LOG(ERROR) << "malloc in tensor fail!";
+        return mindspore::lite::RET_MEMORY_FAILED;
+      }
+      Float16ToFloat32(reinterpret_cast<float16_t *>(in_tensor->Data()), reinterpret_cast<float *>(input_ptr),
+                       in_tensor->ElementsNum());
+    } else {
+      MS_LOG(ERROR) << "unsupported data type, in_datatype: " << in_datatype << ",out_datatype: " << out_datatype;
+      return RET_ERROR;
+    }
+  }
+
+  Reshape(input_ptr, output_ptr, data_size);
+  if (in_datatype != out_datatype) {
+    context_->allocator->Free(input_ptr);
+  }
+  return RET_OK;
+}  // namespace mindspore::kernel
+}  // namespace mindspore::kernel

mindspore/lite/src/runtime/kernel/arm/fp16/reshape_fp16.h

@@ -0,0 +1,43 @@
+/**
+ * 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.
+ */
+
+#ifndef MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP16_RESHAPE_H_
+#define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP16_RESHAPE_H_
+
+#include <vector>
+#include "src/lite_kernel.h"
+
+#include "include/context.h"
+#include "src/runtime/kernel/arm/fp32/reshape.h"
+
+using mindspore::lite::Context;
+
+namespace mindspore::kernel {
+class ReshapeFp16CPUKernel : public ReshapeCPUKernel {
+ public:
+  ReshapeFp16CPUKernel(OpParameter *parameter, const std::vector<lite::tensor::Tensor *> &inputs,
+                       const std::vector<lite::tensor::Tensor *> &outputs, const Context *ctx,
+                       const mindspore::lite::PrimitiveC *primitive)
+      : ReshapeCPUKernel(parameter, inputs, outputs, ctx, primitive) {}
+  ~ReshapeFp16CPUKernel() = default;
+
+  int Run() override;
+
+ private:
+};
+}  // namespace mindspore::kernel
+
+#endif  // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP16_RESHAPE_H_