Home
last modified time | relevance | path

Searched refs:effective_kernel_dimension (Results 1 – 4 of 4) sorted by relevance

/external/XNNPACK/src/operators/
Dmax-pooling-nhwc.c34 const size_t effective_kernel_dimension = (kernel_dimension - 1) * dilation_dimension + 1; in compute_output_dimension() local
35 return (padded_input_dimension - effective_kernel_dimension) / stride_dimension + 1; in compute_output_dimension()
Dconvolution-nchw.c33 const size_t effective_kernel_dimension = (kernel_dimension - 1) * dilation_dimension + 1; in compute_output_dimension() local
34 return doz(padded_input_dimension, effective_kernel_dimension) / subsampling_dimension + 1; in compute_output_dimension()
Ddeconvolution-nhwc.c35 const size_t effective_kernel_dimension = (kernel_dimension - 1) * dilation_dimension + 1; in compute_output_dimension() local
37 stride_dimension * (input_dimension - 1) + adjustment_dimension + effective_kernel_dimension, in compute_output_dimension()
Dconvolution-nhwc.c36 const size_t effective_kernel_dimension = (kernel_dimension - 1) * dilation_dimension + 1; in compute_output_dimension() local
37 return doz(padded_input_dimension, effective_kernel_dimension) / subsampling_dimension + 1; in compute_output_dimension()