| /third_party/grpc/src/core/ext/transport/chttp2/transport/ |
| D | bin_decoder.cc | 55 static bool input_is_valid(const uint8_t* input_ptr, size_t length) { in input_is_valid()
68 #define COMPOSE_OUTPUT_BYTE_0(input_ptr) \ argument
72 #define COMPOSE_OUTPUT_BYTE_1(input_ptr) \ argument
76 #define COMPOSE_OUTPUT_BYTE_2(input_ptr) \ argument
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/gpu/kernel/cuda_impl/cuda_ops/ |
| D | diag_impl.cu | 36 __global__ void DiagKernel(const DataType *input_ptr, DataType *output_ptr, size_t input_size, size… in DiagKernel()
48 cudaError_t CalDiag(const DataType *input_ptr, DataType *output_ptr, size_t input_size, size_t outp… in CalDiag()
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| D | padding_impl.cu | 26 __global__ void CalculatePaddingKernel(const T *input_ptr, size_t output_outer_size_, size_t pad_di… in CalculatePaddingKernel()
34 cudaError_t CalculatePadding(const T *input_ptr, size_t output_outer_size_, size_t pad_dim_size, T … in CalculatePadding()
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| D | as_strided_impl.cu | 23 __global__ void AsStridedKernel(const size_t input_size, const DataType *input_ptr, DataType *outpu… in AsStridedKernel()
38 cudaError_t CalAsStrided(const size_t &input_size, const DataType *input_ptr, DataType *output_ptr, in CalAsStrided()
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| D | adaptive_avg_pool2d_impl.cu | 33 T *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DKernel() local
64 float *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DKernel() local
95 half *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DKernel() local
126 double *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DKernel() local
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| D | masked_select_impl.cu | 35 __global__ void MaskedSelectKernel(const T *input_ptr, const size_t *index_ptr, T *output_ptr, size… in MaskedSelectKernel()
47 cudaError_t MaskedSelect(T *input_ptr, bool *mask_ptr, size_t *index_ptr, const std::vector<int64_t… in MaskedSelect()
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| D | cummax_impl.cu | 91 __global__ void LargeBlockScanKernel(BlockScanFunctor functor, const ValueType *input_ptr, ValueTyp… in LargeBlockScanKernel()
122 __global__ void ScanInnerMostDimKernel(BlockScanFunctor functor, const ValueType *input_ptr, ValueT… in ScanInnerMostDimKernel()
196 __global__ void ScanOuterDimKernel(BlockScanFunctor functor, const ValueType *input_ptr, ValueType … in ScanOuterDimKernel()
215 void KernelHelper(BinaryFunctor functor, ValueType init, const ValueType *input_ptr, ValueType *val… in KernelHelper()
291 cudaError_t CumMax(const DataType *input_ptr, DataType *value_ptr, IndexType *index_ptr, size_t out… in CumMax()
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| D | cummin_impl.cu | 91 __global__ void LargeBlockScanKernel(BlockScanFunctor functor, const ValueType *input_ptr, ValueTyp… in LargeBlockScanKernel()
122 __global__ void ScanInnerMostDimKernel(BlockScanFunctor functor, const ValueType *input_ptr, ValueT… in ScanInnerMostDimKernel()
196 __global__ void ScanOuterDimKernel(BlockScanFunctor functor, const ValueType *input_ptr, ValueType … in ScanOuterDimKernel()
215 void KernelHelper(BinaryFunctor functor, ValueType init, const ValueType *input_ptr, ValueType *val… in KernelHelper()
291 cudaError_t CumMin(const DataType *input_ptr, DataType *value_ptr, IndexType *index_ptr, size_t out… in CumMin()
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| D | adaptive_avg_pool2d_grad_impl.cu | 33 T *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DGradKernel() local
67 float *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DGradKernel() local
101 half *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DGradKernel() local
141 double *input_ptr = input_data + c * input_height * input_width; in AdaptiveAvgPool2DGradKernel() local
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/fp32/ |
| D | l2_norm_fp32.c | 21 int CalcThreadSquareSum(const float *input_ptr, float *sum, int begin, int end) { in CalcThreadSquareSum()
30 int ThreadDivSqrtSum(const float *input_ptr, float *output_ptr, const L2NormParameter *param, const… in ThreadDivSqrtSum()
51 int ThreadTrailingAxis(const float *input_ptr, float *output_ptr, const L2NormParameter *param, con… in ThreadTrailingAxis()
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/fp32_grad/ |
| D | softmax_grad_utils.c | 40 static void SoftMaxP1Simple(const float *input_ptr, float *output_ptr, float *sum_data, int start, … in SoftMaxP1Simple()
59 void SoftMaxP1(const float *input_ptr, float *output_ptr, float *sum_data, int start, int count, in… in SoftMaxP1()
89 void SoftMaxP2(const float *input_ptr, float *output_ptr, const float *sum_data, int start, int cou… in SoftMaxP2()
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/kernel/ |
| D | log_softmax.c | 31 void *input_ptr = in->data_; in LogSoftmaxLastAxisRun() local
87 void *input_ptr = in->data_; in LogSoftmaxCompute() local
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| D | pooling.c | 32 float16_t *input_ptr = (float16_t *)pooling->base_.in_[FIRST_INPUT]->data_; in PoolingF16RunImpl() local
53 float *input_ptr = (float *)input_tensor->data_; in PoolingRunImpl() local
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| D | softmax.c | 42 void *input_ptr = softmax->base_.in_[FIRST_INPUT]->data_; in SoftmaxLastAxisRun() local
125 void *input_ptr = self->in_[FIRST_INPUT]->data_; in SoftmaxCompute() local
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/cpu/kernel/ |
| D | pad_v3_cpu_kernel.cc | 133 void PadV3CpuKernelMod::ConstantModeCompute(T *input_ptr, T *output_ptr, T constant_values) { in ConstantModeCompute()
214 void PadV3CpuKernelMod::OtherModeCompute(T *input_ptr, T *output_ptr, int64_t p) const { in OtherModeCompute()
225 void PadV3CpuKernelMod::OtherModeCompute1D(T *input_ptr, T *output_ptr, int64_t p) const { in OtherModeCompute1D()
242 void PadV3CpuKernelMod::OtherModeCompute2D(T *input_ptr, T *output_ptr, int64_t p) const { in OtherModeCompute2D()
268 void PadV3CpuKernelMod::OtherModeCompute3D(T *input_ptr, T *output_ptr, int64_t p) const { in OtherModeCompute3D()
336 auto input_ptr = static_cast<T *>(inputs[0]->device_ptr()); in LaunchKernel() local
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| D | cum_minmax_cpu_kernel.cc | 32 inline void CumMinMax(const T *input_ptr, T *value_ptr, S *index_ptr, BinaryOp op, size_t axis_inne… in CumMinMax()
106 auto input_ptr = reinterpret_cast<T *>(inputs[kIndex0]->device_ptr()); in LaunchKernel() local
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/int8/ |
| D | tanh_int8.c | 22 void TanhInt8(const int8_t *input_ptr, int8_t *output_ptr, int size, const TanhQuantParameter *quan… in TanhInt8()
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| D | reshape_int8.c | 21 void Int8Reshape(const int8_t *input_ptr, int8_t *output_ptr, int64_t real_dst_count, ReshapeQuantA… in Int8Reshape()
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| D | unsqueeze_int8.c | 21 int Int8Unsqueeze(const int8_t *input_ptr, int8_t *output_ptr, const UnSqueezeParameter *para_, siz… in Int8Unsqueeze()
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| D | batchnorm_int8.c | 21 void BatchNormInt8(int8_t *output_ptr, const int8_t *input_ptr, const float *alpha_ptr, const float… in BatchNormInt8()
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| D | squeeze_int8.c | 19 void SqueezeInt8(const int8_t *input_ptr, int8_t *output_ptr, const SqueezeQuantArg *quant_Squeeze_… in SqueezeInt8()
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| /third_party/mindspore/mindspore-src/source/mindspore/lite/tools/optimizer/const_fold/ |
| D | rsqrt_fp32.cc | 35 float *input_ptr = reinterpret_cast<float *>(in_tensors_.at(0)->data()); in Run() local
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| /third_party/mindspore/mindspore-src/source/mindspore/lite/src/litert/kernel/cpu/int8/ |
| D | space_to_batch_int8.cc | 31 auto input_ptr = reinterpret_cast<const int8_t *>(input_tensor->data()); in Run() local
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| /third_party/mindspore/mindspore-src/source/mindspore/lite/src/litert/kernel/cpu/fp32/ |
| D | invert_permutation_fp32.cc | 58 auto input_ptr = reinterpret_cast<int32_t *>(in_tensor->data()); in Run() local
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| /third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/fp16/ |
| D | pooling_fp16.c | 21 int AvgPoolingFp16(const float16_t *input_ptr, float16_t *output_ptr, const PoolingParameter *pooli… in AvgPoolingFp16()
142 void MaxPoolingC8Fp16(const float16_t *input_ptr, float16_t *output_ptr, const PoolingComputeParam … in MaxPoolingC8Fp16()
186 void MaxPoolingC4Fp16(const float16_t *input_ptr, float16_t *output_ptr, const PoolingComputeParam … in MaxPoolingC4Fp16()
232 void MaxPoolingC1Fp16(const float16_t *input_ptr, float16_t *output_ptr, const PoolingComputeParam … in MaxPoolingC1Fp16()
257 void MaxPoolingFp16(const float16_t *input_ptr, float16_t *output_ptr, const PoolingParameter *pool… in MaxPoolingFp16()
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