/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators
NameSizeModeActions
conv2d.h11820644editdlrm
matmul.h5070644editdlrm
norm.h3500644editdlrm
operators.h3510644editdlrm
reduction.h6570644editdlrm
softmax.h3210644editdlrm
unary.h3060644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h (1182B)
#pragma once #include namespace torch { namespace jit { namespace tensorexpr { // An API to compute 2D depthwise convolutions with bias. TORCH_API Tensor conv2d_depthwise( BufHandle input, BufHandle weight, BufHandle bias, int stride, int pad, int groups); // An API to compute 2D depthwise convolutions without bias. TORCH_API Tensor conv2d_depthwise( BufHandle input, BufHandle weight, int stride, int pad, int groups); TORCH_API Tensor conv2d_depthwise( BufHandle input, BufHandle weight, BufHandle bias, ExprHandle N, ExprHandle C, ExprHandle H, ExprHandle W, ExprHandle K, ExprHandle CperG, ExprHandle R, ExprHandle S, ExprHandle stride, ExprHandle pad, ExprHandle groups); TORCH_API Tensor conv2d_depthwise( BufHandle input, BufHandle weight, ExprHandle N, ExprHandle C, ExprHandle H, ExprHandle W, ExprHandle K, ExprHandle CperG, ExprHandle R, ExprHandle S, ExprHandle stride, ExprHandle pad, ExprHandle groups); } // namespace tensorexpr } // namespace jit } // namespace torch