pytorch  1.8.2
About: PyTorch provides Tensor computation (like NumPy) with strong GPU acceleration and Deep Neural Networks (in Python) built on a tape-based autograd system. LTS (Long Term Support) release.
  Fossies Dox: pytorch-1.8.2.tar.gz  ("unofficial" and yet experimental doxygen-generated source code documentation)  

cpu Directory Reference
Directory dependency graph for cpu:

Directories

directory  kernels
 
directory  qnnpack
 

Files

file  conv_packed_params.h [code]
 
file  conv_serialization.h [code]
 
file  embedding_packed_params.h [code]
 
file  fbgemm_utils.cpp [code]
 
file  fbgemm_utils.h [code]
 
file  init_qnnpack.cpp [code]
 
file  init_qnnpack.h [code]
 
file  int_repr_quant.cpp [code]
 
file  make_per_tensor_quantized_tensor.cpp [code]
 
file  packed_params.h [code]
 
file  q_adaavgpool.cpp [code]
 
file  q_avgpool.cpp [code]
 
file  q_avgpool3d.cpp [code]
 
file  qadd.cpp [code]
 
file  qbatch_norm.cpp [code]
 
file  qchannel_shuffle.cpp [code]
 
file  qclamp.cpp [code]
 
file  qconcat.cpp [code]
 
file  qconv.cpp [code]
 
file  qconv_prepack.cpp [code]
 
file  qconv_unpack.cpp [code]
 
file  qelu.cpp [code]
 
file  qembeddingbag.cpp [code]
 
file  qembeddingbag.h [code]
 
file  qembeddingbag_prepack.cpp [code]
 
file  qembeddingbag_unpack.cpp [code]
 
file  qhardsigmoid.cpp [code]
 
file  qhardswish.cpp [code]
 
file  qlinear.cpp [code]
 
file  qlinear_dynamic.cpp [code]
 
file  qlinear_prepack.cpp [code]
 
file  qlinear_unpack.cpp [code]
 
file  qmul.cpp [code]
 
file  qnnpack_utils.h [code]
 
file  qnormalization.cpp [code]
 
file  qpool.cpp [code]
 
file  qreduction.cpp [code]
 
file  qrelu.cpp [code]
 
file  qsigmoid.cpp [code]
 
file  qsort.cpp [code]
 
file  qtanh.cpp [code]
 
file  qthreshold.cpp [code]
 
file  quant_utils.h [code]
 
file  quantized_ops.h [code]
 
file  qupsample_bilinear2d.cpp [code]
 
file  qupsample_nearest2d.cpp [code]
 
file  qupsample_nearest3d.cpp [code]
 
file  tensor_operators.cpp [code]