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!23903 [MSLITE][DEVELOP] clean code check warnings 

Merge pull request !23903 from yangruoqi713/codex
This commit is contained in:
i-robot 2021-09-23 01:08:41 +00:00 committed by Gitee
parent d6d4a4a5ee 86c260d636
commit 211ce1bf1e
3 changed files with 6 additions and 7 deletions
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6
mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/base/split_base.c
View File

@ -19,9 +19,9 @@
#include <string.h>
#include "nnacl/errorcode.h"
int DoSplit(void *in_data, void **out_data, const int *input_shape, int offset, int num_unit,
int DoSplit(const void *in_data, void **out_data, const int *input_shape, int offset, int num_unit,
const SplitParameter *split_param, int data_size) {
int8_t *int8_in = (int8_t *)in_data;
const int8_t *int8_in = (int8_t *)in_data;
const int num_split = split_param->num_split_;
const int *split_sizes = split_param->split_sizes_;
@ -37,7 +37,7 @@ int DoSplit(void *in_data, void **out_data, const int *input_shape, int offset,
split_which = offset % num_split;
split_times = offset / num_split;
int8_t *src = int8_in + split_times * stride_per_split * data_size;
const int8_t *src = int8_in + split_times * stride_per_split * data_size;
for (int i = 0; i < split_which; i++) {
src += split_sizes[i] * in_stride * data_size;

2
mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/base/split_base.h
View File

@ -23,7 +23,7 @@
#ifdef __cplusplus
extern "C" {
#endif
int DoSplit(void *in_data, void **out_data, const int *input_shape, int offset, int num_unit,
int DoSplit(const void *in_data, void **out_data, const int *input_shape, int offset, int num_unit,
const SplitParameter *split_param, int data_size);
#ifdef __cplusplus
}

5
mindspore/lite/src/runtime/kernel/arm/base/reshape_base.cc
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@ -33,13 +33,12 @@ using mindspore::schema::PrimitiveType_Unsqueeze;
namespace mindspore::kernel {
int ReshapeBaseCPUKernel::Run() {
auto in_tensor = in_tensors().front();
auto out_tensor = out_tensors().front();
/*
* in_tensor : CPU-allocator ; out_tensor : GPU-allocator
* out_tensor data_c can not change
* */
auto in_tensor = in_tensors().front();
auto out_tensor = out_tensors().front();
if (in_tensor->allocator() == nullptr || in_tensor->allocator() != out_tensor->allocator() ||
op_parameter_->is_train_session_) {
CHECK_NULL_RETURN(out_tensor->data());