[9.2.0] fix(aicpu): 补充5处成员函数const修饰（G.CNS.03残留）-ops-math-AtomGit

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[9.2.0] fix(aicpu): 补充5处成员函数const修饰（G.CNS.03残留） #5903

liu-wei创建于 9月21日从liu-wei/ops-math： fix/aicpu-cns03-const-residual-9.2.0 合入到 cann/ops-math： 9.2.0

[9.2.0] fix(aicpu): 补充5处成员函数const修饰（G.CNS.03残留） #5903

已开启

liu-wei创建于 9月21日

从liu-wei/ops-math fix/aicpu-cns03-const-residual-9.2.0合入到cann/ops-math 9.2.0

共 8 个文件变更+10-10

Mconversion/strided_slice_v2/op_kernel_aicpu/strided_slice_v2_aicpu.cpp+1-1

	@@ -96,7 +96,7 @@ uint32_t StridedSliceV2CpuKernel::CheckAxesDataType(const Tensor* begin, const T
96	}	96	}
97		97
98	uint32_t StridedSliceV2CpuKernel::CheckParam(const Tensor* begin, const Tensor* end, const Tensor* axes,	98	uint32_t StridedSliceV2CpuKernel::CheckParam(const Tensor* begin, const Tensor* end, const Tensor* axes,
99	- const Tensor* strides)	99	+ const Tensor* strides) const
100	{	100	{
101	uint32_t ret = CheckBeginEndDataType(begin, end);	101	uint32_t ret = CheckBeginEndDataType(begin, end);
102	if (ret != KERNEL_STATUS_OK) {	102	if (ret != KERNEL_STATUS_OK) {

Mconversion/strided_slice_v2/op_kernel_aicpu/strided_slice_v2_aicpu.h+1-1

	@@ -21,7 +21,7 @@ public:
21	uint32_t Compute(CpuKernelContext& ctx) override;	21	uint32_t Compute(CpuKernelContext& ctx) override;
22		22
23	private:	23	private:
24	- uint32_t CheckParam(const Tensor* begin, const Tensor* end, const Tensor* axes, const Tensor* strides);	24	+ uint32_t CheckParam(const Tensor* begin, const Tensor* end, const Tensor* axes, const Tensor* strides) const;
25		25
26	uint32_t CheckBeginEndDataType(const Tensor* begin, const Tensor* end) const;	26	uint32_t CheckBeginEndDataType(const Tensor* begin, const Tensor* end) const;
27		27

Mconversion/trans_data/op_kernel_aicpu/trans_data_aicpu.cpp+2-2

	@@ -373,7 +373,7 @@ uint32_t TransDataCpuKernel::NewCompute(const CpuKernelContext& ctx) const
373		373
374	template <typename T>	374	template <typename T>
375	uint32_t TransDataCpuKernel::DealData(const T* input_data, T* output_data, const Tensor* input_tensor,	375	uint32_t TransDataCpuKernel::DealData(const T* input_data, T* output_data, const Tensor* input_tensor,
376	- Tensor* output_tensor, int64_t group)	376	+ Tensor* output_tensor, int64_t group) const
377	{	377	{
378	(void)output_tensor;	378	(void)output_tensor;
379	DealDataCtx c{};	379	DealDataCtx c{};
	@@ -590,7 +590,7 @@ uint32_t TransDataCpuKernel::PaddingOne(TransArgs& args, std::shared_ptr<uint8_t
590	return KERNEL_STATUS_OK;	590	return KERNEL_STATUS_OK;
591	}	591	}
592		592
593	-uint32_t TransDataCpuKernel::PaddingTwo(TransArgs& args, std::shared_ptr<uint8_t>& dst, int64_t c0_cube)	593	+uint32_t TransDataCpuKernel::PaddingTwo(TransArgs& args, std::shared_ptr<uint8_t>& dst, int64_t c0_cube) const
594	{	594	{
595	DataType data_type = args.src_data_type;	595	DataType data_type = args.src_data_type;
596	std::vector<int64_t> dst_shape;	596	std::vector<int64_t> dst_shape;

Mconversion/trans_data/op_kernel_aicpu/trans_data_aicpu.h+2-2

	@@ -28,10 +28,10 @@ public:
28	private:	28	private:
29	template <typename T>	29	template <typename T>
30	uint32_t DealData(const T* input_data, T* output_data, const Tensor* input_tensor, Tensor* output_tensor,	30	uint32_t DealData(const T* input_data, T* output_data, const Tensor* input_tensor, Tensor* output_tensor,
31	- int64_t group);	31	+ int64_t group) const;
32	uint32_t FormatTransferHwcnToFZC04(TransArgs& args, uint8_t* output_addr, uint64_t length, int64_t c0_cube);	32	uint32_t FormatTransferHwcnToFZC04(TransArgs& args, uint8_t* output_addr, uint64_t length, int64_t c0_cube);
33	uint32_t PaddingOne(TransArgs& args, std::shared_ptr<uint8_t>& dst);	33	uint32_t PaddingOne(TransArgs& args, std::shared_ptr<uint8_t>& dst);
34	- uint32_t PaddingTwo(TransArgs& args, std::shared_ptr<uint8_t>& dst, int64_t c0_cube);	34	+ uint32_t PaddingTwo(TransArgs& args, std::shared_ptr<uint8_t>& dst, int64_t c0_cube) const;
35	uint32_t GetPaddingOneShape(const TransArgs& args, std::vector<int64_t>& dst_shape) const;	35	uint32_t GetPaddingOneShape(const TransArgs& args, std::vector<int64_t>& dst_shape) const;
36	uint32_t GetPaddingTwoShape(const TransArgs& args, std::vector<int64_t>& dst_shape, int64_t cube) const;	36	uint32_t GetPaddingTwoShape(const TransArgs& args, std::vector<int64_t>& dst_shape, int64_t cube) const;
37	uint32_t Transpose(TransArgs& args, const std::vector<int64_t>& perm_arg, std::shared_ptr<uint8_t>& dst) const;	37	uint32_t Transpose(TransArgs& args, const std::vector<int64_t>& perm_arg, std::shared_ptr<uint8_t>& dst) const;

Mmath/mul/op_kernel_aicpu/mul_aicpu.cpp+1-1

	@@ -30,7 +30,7 @@ constexpr int64_t kParallelDataNumSameShape = 7 * 1024;
30	} // namespace	30	} // namespace
31		31
32	namespace aicpu {	32	namespace aicpu {
33	-uint32_t MulCpuKernel::MulSameTypeCompute(const CpuKernelContext& ctx)	33	+uint32_t MulCpuKernel::MulSameTypeCompute(const CpuKernelContext& ctx) const
34	{	34	{
35	auto data_type = static_cast<DataType>(ctx.Input(kFirstInputIndex)->GetDataType());	35	auto data_type = static_cast<DataType>(ctx.Input(kFirstInputIndex)->GetDataType());
36	switch (data_type) {	36	switch (data_type) {

Mmath/mul/op_kernel_aicpu/mul_aicpu.h+1-1

	@@ -39,7 +39,7 @@ private:
39	template <int32_t RANK, typename T, int32_t OPTION>	39	template <int32_t RANK, typename T, int32_t OPTION>
40	uint32_t MulCalculate(BCalcInfo& calc_info) const;	40	uint32_t MulCalculate(BCalcInfo& calc_info) const;
41		41
42	- uint32_t MulSameTypeCompute(const CpuKernelContext& ctx);	42	+ uint32_t MulSameTypeCompute(const CpuKernelContext& ctx) const;
43	};	43	};
44	} // namespace aicpu	44	} // namespace aicpu
45		45

Mmath/real_div/op_kernel_aicpu/real_div_aicpu.cpp+1-1

	@@ -325,7 +325,7 @@ uint32_t BcastComputeImpl(const CpuKernelContext& ctx, const BcastDivInfo& info)
325		325
326	} // anonymous namespace	326	} // anonymous namespace
327		327
328	-uint32_t RealDivKernel::RealDivSameTypeCompute(const CpuKernelContext& ctx, DataType data_type)	328	+uint32_t RealDivKernel::RealDivSameTypeCompute(const CpuKernelContext& ctx, DataType data_type) const
329	{	329	{
330	switch (data_type) {	330	switch (data_type) {
331	case DT_FLOAT16:	331	case DT_FLOAT16:

Mmath/real_div/op_kernel_aicpu/real_div_aicpu.h+1-1

	@@ -21,7 +21,7 @@ public:
21	uint32_t Compute(CpuKernelContext& ctx) override;	21	uint32_t Compute(CpuKernelContext& ctx) override;
22		22
23	private:	23	private:
24	- uint32_t RealDivSameTypeCompute(const CpuKernelContext& ctx, DataType data_type);	24	+ uint32_t RealDivSameTypeCompute(const CpuKernelContext& ctx, DataType data_type) const;
25	template <typename T>	25	template <typename T>
26	bool IsInputHasZero(T* input_data, const int64_t num_of_elems) const;	26	bool IsInputHasZero(T* input_data, const int64_t num_of_elems) const;
27	template <typename T>	27	template <typename T>