Home
last modified time | relevance | path

Searched defs:invstd (Results 1 – 8 of 8) sorted by relevance

/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/quantization/mkldnn/
H A Dmkldnn_quantized_batch_norm.cc106 float invstd = 1.0 / std::sqrt(moving_var_ptr[channel] + param.eps); in MKLDNNQuantizedBatchNormForward() local
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/quantization/mkldnn/
H A Dmkldnn_quantized_batch_norm.cc106 float invstd = 1.0 / std::sqrt(moving_var_ptr[channel] + param.eps); in MKLDNNQuantizedBatchNormForward() local
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/nn/
H A Dbatch_norm.cc163 AccReal invstd; in BatchNormForwardImpl() local
259 AccReal mean, invstd; in BatchNormBackwardImpl() local
H A Dbatch_norm.cu223 AccReal invstd = VARIANCE_TO_INVSTD(runningVar[plane], epsilon); in BatchNormalizationUpdateOutputInferenceKernel() local
330 AccReal mean, invstd; in BatchNormalizationBackwardKernel() local
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/nn/
H A Dbatch_norm.cc163 AccReal invstd; in BatchNormForwardImpl() local
259 AccReal mean, invstd; in BatchNormBackwardImpl() local
H A Dbatch_norm.cu223 AccReal invstd = VARIANCE_TO_INVSTD(runningVar[plane], epsilon); in BatchNormalizationUpdateOutputInferenceKernel() local
330 AccReal mean, invstd; in BatchNormalizationBackwardKernel() local
/dports/science/py-dlib/dlib-19.22/dlib/cuda/
H A Dcpu_dlib.cpp1032 const float invstd = 1.0f/std::sqrt(v[k] + eps); in batch_normalize_conv_inference() local
/dports/science/dlib-cpp/dlib-19.22/dlib/cuda/
H A Dcpu_dlib.cpp1032 const float invstd = 1.0f/std::sqrt(v[k] + eps); in batch_normalize_conv_inference() local