cast support fp32->int

mindspore/lite/src/ops/ops.h

@@ -37,7 +37,7 @@ constexpr uint32_t kNHWC_w_index = 2;
 constexpr uint32_t kNHWC_c_index = 3;
 constexpr uint32_t kDimension_4d = 4;
 
-const std::set<int> kSupportDataType = {kNumberTypeUInt8, kNumberTypeInt32};
+const std::set<int> kSupportDataType = {kNumberTypeUInt8, kNumberTypeInt32, kNumberTypeFloat32};
 
 class Primitive {
  public:

mindspore/lite/src/runtime/kernel/arm/fp32/cast.cc

@@ -65,17 +65,32 @@ int CastCPUKernel::DoCast(int thread_id) {
   }
 
   auto offset = thread_id * stride_;
-  auto output_data = reinterpret_cast<float *>(out_tensors_.at(0)->Data());
-  switch (input->data_type()) {
+  auto output = out_tensors_.at(0);
+  auto output_data = output->Data();
+  auto input_data_type = input->data_type();
+  auto output_data_type = output->data_type();
+  if (output_data_type != kNumberTypeFloat32) {
+    if (input_data_type == kNumberTypeFloat32 && output_data_type == kNumberTypeInt32) {
+      Float32ToInt32(reinterpret_cast<float *>(input->Data()) + offset,
+                     reinterpret_cast<int32_t *>(output_data) + offset, data_num);
+    } else {
+      MS_LOG(ERROR) << "Unsupport datatype from " << input_data_type << " to " << output_data_type;
+      return RET_ERROR;
+    }
+  } else {
+    switch (input_data_type) {
     case kNumberTypeUInt8:
-      Uint8ToFloat32(reinterpret_cast<uint8_t *>(input->Data()) + offset, output_data + offset, data_num);
+      Uint8ToFloat32(reinterpret_cast<uint8_t *>(input->Data()) + offset,
+                     reinterpret_cast<float *>(output_data) + offset, data_num);
       break;
     case kNumberTypeInt32:
-      Int32ToFloat32(reinterpret_cast<int32_t *>(input->Data()) + offset, output_data + offset, data_num);
+      Int32ToFloat32(reinterpret_cast<int32_t *>(input->Data()) + offset,
+                     reinterpret_cast<float *>(output_data) + offset, data_num);
       break;
     default:
-      MS_LOG(ERROR) << "Unsupport input data type " << input->data_type();
+      MS_LOG(ERROR) << "Unsupport input data type " << input_data_type;
       return RET_ERROR;
+    }
   }
   return RET_OK;
 }

mindspore/lite/src/runtime/kernel/arm/fp32/crop.cc

@@ -47,8 +47,9 @@ int CropCPUKernel::CropParallelRun(int thread_id) {
   auto output = out_tensors_[0];
   float *input_data = reinterpret_cast<float *>(input->Data());
   float *output_data = reinterpret_cast<float *>(output->Data());
-  Crop4D(input_data, output_data, input->shape().data(), output->shape().data(),
-         reinterpret_cast<CropParameter *>(op_parameter_));
+  auto param = reinterpret_cast<CropParameter *>(op_parameter_);
+  param->thread_id_ = thread_id;
+  Crop4D(input_data, output_data, input->shape().data(), output->shape().data(), param);
   return RET_OK;
 }
 

mindspore/lite/src/runtime/kernel/arm/fp32/softmax.cc

@@ -65,6 +65,10 @@ int SoftmaxCPUKernel::ReSize() {
     free(sum_data_);
   }
   sum_data_ = reinterpret_cast<float *>(malloc(out_plane_size * in_plane_size * sizeof(float)));
+  if (sum_data_ == nullptr) {
+    MS_LOG(ERROR) << "malloc data for softmax fail!";
+    return RET_ERROR;
+  }
   memset(sum_data_, 0, out_plane_size * in_plane_size * sizeof(float));
   return RET_OK;
 }

mindspore/lite/src/runtime/kernel/arm/fp32/softmax.h

@@ -27,7 +27,7 @@ class SoftmaxCPUKernel : public SoftmaxBaseCPUKernel {
   SoftmaxCPUKernel(OpParameter *parameter, const std::vector<lite::tensor::Tensor *> &inputs,
                    const std::vector<lite::tensor::Tensor *> &outputs, const lite::Context *ctx,
                    const lite::Primitive *primitive)
-      : SoftmaxBaseCPUKernel(parameter, inputs, outputs, ctx, primitive) {}
+      : SoftmaxBaseCPUKernel(parameter, inputs, outputs, ctx, primitive), sum_data_(nullptr) {}
   ~SoftmaxCPUKernel() override {
     if (sum_data_ != nullptr) {
       free(sum_data_);

mindspore/lite/src/runtime/kernel/arm/nnacl/fp32/cast.cc

@@ -40,6 +40,12 @@ void Int32ToFloat32(const int32_t *input, float *output, int number) {
   }
 }
 
+void Float32ToInt32(const float *input, int32_t *output, int number) {
+  for (int i = 0; i < number; ++i) {
+    output[i] = (int32_t)input[i];
+  }
+}
+
 #ifdef ENABLE_FP16
 void Float32ToFloat16(const float *input, float16_t *output, int number) {
   for (int i = 0; i < number; ++i) {

mindspore/lite/src/runtime/kernel/arm/nnacl/fp32/cast.h

@@ -32,6 +32,7 @@ void Uint8ToFloat32(const uint8_t *input, float *output, int number);
 void Uint8ToInt8(const uint8_t *input, int8_t *output, int number);
 void Int8ToUint8(const int8_t *input, uint8_t *output, int number);
 void Int32ToFloat32(const int32_t *input, float *output, int number);
+void Float32ToInt32(const float *input, int32_t *output, int number);
 #ifdef ENABLE_FP16
 void Float32ToFloat16(const float *input, float16_t *output, int number);
 void Float16ToFloat32(const float16_t *input, float *output, int number);