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Searched refs:effective_kernel_width (Results 1 – 13 of 13) sorted by relevance

/external/XNNPACK/bench/
Dconvolution.cc56 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_qu8() local
62 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_qu8()
177 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_qs8() local
183 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_qs8()
299 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_f16() local
305 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_f16()
414 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_f32() local
420 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_f32()
537 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in tflite_convolution_f32() local
540 …if (padding_width == (effective_kernel_width - 1) && padding_height == (effective_kernel_height - … in tflite_convolution_f32()
[all …]
Df32-im2col-gemm.cc55 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in Im2ColGEMMBenchmark() local
59 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in Im2ColGEMMBenchmark()
Ddeconvolution.cc52 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_deconvolution_qu8() local
58 …width = std::max(stride_width * (input_width - 1) + adjustment + effective_kernel_width, padding_w… in xnnpack_deconvolution_qu8()
170 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_deconvolution_f32() local
176 …width = std::max(stride_width * (input_width - 1) + adjustment + effective_kernel_width, padding_w… in xnnpack_deconvolution_f32()
Df16-dwconv.cc67 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f16_dwconv() local
71 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f16_dwconv()
Df16-dwconv2d-chw.cc79 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f16_dwconv2d_chw() local
81 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f16_dwconv2d_chw()
Df16-igemm.cc61 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f16_igemm() local
65 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f16_igemm()
Df32-dwconv.cc59 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f32_dwconv() local
63 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f32_dwconv()
Df32-igemm.cc58 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f32_igemm() local
62 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f32_igemm()
188 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f32_igemm() local
192 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f32_igemm()
Dqs8-dwconv.cc61 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in DWConvBenchmark() local
65 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in DWConvBenchmark()
Df32-dwconv2d-chw.cc77 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in f32_dwconv2d_chw() local
79 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in f32_dwconv2d_chw()
/external/XNNPACK/src/operators/
Dmax-pooling-nhwc.c250 …const uint32_t effective_kernel_width = (max_pooling_op->kernel_width - 1) * max_pooling_op->dilat… in setup_max_pooling2d_nhwc() local
254 …x_pooling_op->output_width - 1) * max_pooling_op->stride_width + effective_kernel_width, input_wid… in setup_max_pooling2d_nhwc()
Dconvolution-nhwc.c1393 …const uint32_t effective_kernel_width = (convolution_op->kernel_width - 1) * convolution_op->dilat… in setup_convolution2d_nhwc() local
1397 …(convolution_op->output_width - 1) * convolution_op->stride_width + effective_kernel_width - input… in setup_convolution2d_nhwc()
/external/tensorflow/tensorflow/lite/delegates/xnnpack/
Dxnnpack_delegate.cc867 const int effective_kernel_width = (kernel_width - 1) * dilation_width + 1; in CalculateTransposeConvPaddings() local
871 effective_kernel_width > output_width) { in CalculateTransposeConvPaddings()
877 node_index, effective_kernel_height, effective_kernel_width, in CalculateTransposeConvPaddings()
913 node_index, effective_kernel_height, effective_kernel_width, in CalculateTransposeConvPaddings()