Lines Matching full:convolution

1261 /// A convolution operation can be written as a matrix-matrix multiplication by
1285 /// and output (N, Ho, Wo, D) the convolution is the following matrix-matrix
1291 /// the final operation of the sequence that replaces the original convolution.
1304 /// reduction among the input channels so each convolution can be a
1404 /// Rewrites 2-D convolution ops with size-1 window dimensions into 1-D
1405 /// convolution ops.
1425 /// Rewrites 2-D depthwise convolution ops with size-1 (w, kw) or (h, kh)
1426 /// dimensions into 1-D depthwise convolution ops.
1706 /// Populates patterns to decompose high-D convolution ops into low-D ones.
1707 /// This is a step in progressive lowering for convolution ops, afterwards we
1708 /// can vectorize the low-D convolution ops.
1753 /// Populate patterns for vectorizing low-D convolution ops. This is a step in
1754 /// progressive lowering for convolution ops, it assume high-D convolution ops