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Searched defs:save_mean (Results 1 – 16 of 16) sorted by relevance

/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp32/
Dfused_batchnorm_fp32.cc83 float *save_mean = static_cast<float *>(in_tensors_.at(FOURTH_INPUT)->data()); in Run() local
120 float *save_mean = static_cast<float *>(in_tensors_.at(FOURTH_INPUT)->data()); in Eval() local
/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp16/
Dfused_batchnorm_fp16.cc38 …p16CPUKernel::CalcMeanVar(float16_t *in, float16_t *scale, float16_t *offset, float16_t *save_mean, in CalcMeanVar()
146 float16_t *save_mean = static_cast<float16_t *>(in_tensors_.at(kInCurrentMeanIdx)->data()); in Eval() local
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/
Dbatchnorm_grad_impl.cu30 __global__ void BatchNormGradKernel(T *x_input, T *dy, float *scale, float *save_mean, float *save_… in BatchNormGradKernel()
108 void CalBatchNormGrad(T *x, T *dy, float *scale, float *save_mean, float *save_variance, T *dx, flo… in CalBatchNormGrad()
/third_party/mindspore/mindspore/ccsrc/backend/optimizer/gpu/
Dbatch_norm_relu_grad_fusion.cc80 auto save_mean = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(node), 3); in Process() local
Dbatch_norm_add_relu_grad_fusion.cc177 auto save_mean = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(node), 3); in Process() local
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/fp32/
Dbatchnorm_fp32.c63 float *save_mean, float *save_var) { in FusedBatchNormFp32MeanVar()
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/fp16/
Dbatchnorm_fp16.c62 … const BatchNormParameter *param, float16_t *save_mean, float16_t *save_var) { in FusedBatchNormFp16MeanVar()
/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp32_grad/
Dbn_grad.cc90 float *save_mean = reinterpret_cast<float *>(input_mean->MutableData()); in Execute() local
/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp16_grad/
Dbn_fp16_grad.cc90 float16_t *save_mean = reinterpret_cast<float16_t *>(input_mean->data()); in DoExecute() local
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/
Dbatch_norm_gpu_kernel.h65 auto save_mean = GetDeviceAddress<float>(outputs, 3); in Launch() local
Dinstance_norm_grad_gpu_kernel.h66 auto save_mean = GetDeviceAddress<float>(inputs, 3); in Launch() local
Dbatch_norm_grad_gpu_kernel.h76 auto save_mean = GetDeviceAddress<float>(inputs, 3); in Launch() local
/third_party/mindspore/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32_grad/
Dbn_grad_fp32_test.cc184 float *save_mean = reinterpret_cast<float *>(save_mean_tensor.MutableData()); in TEST_F() local
/third_party/mindspore/tests/vm_impl/
Dvm_me.py121 def _batch_norm_grad(dout, x, scale, save_mean, save_inv_variance, \ argument
143 def batch_norm_grad(dy, x, scale, save_mean, save_inv_variance): argument
Dnn_ops_vm_impl.py210 def vm_impl(dy, x, scale, save_mean, save_inv_variance): argument
/third_party/mindspore/mindspore/ops/operations/
D_grad_ops.py689 def __call__(self, dy, x, scale, save_mean, save_inv_variance): argument