Home
last modified time | relevance | path

Searched refs:effective_kernel_width (Results 1 – 10 of 10) sorted by relevance

/external/XNNPACK/bench/
Dconvolution.cc63 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_qu8() local
69 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_qu8()
184 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_qs8() local
190 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_qs8()
306 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_f16() local
312 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_f16()
421 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_f32() local
427 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in xnnpack_convolution_f32()
544 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in tflite_convolution_f32() local
547 …if (padding_width == (effective_kernel_width - 1) && padding_height == (effective_kernel_height - … in tflite_convolution_f32()
[all …]
Df32-im2col-gemm.cc51 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in Im2ColGEMMBenchmark() local
55 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in Im2ColGEMMBenchmark()
Ddeconvolution.cc50 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_deconvolution_qu8() local
56 …utput_width = std::max(stride * (input_width - 1) + adjustment + effective_kernel_width, padding) … in xnnpack_deconvolution_qu8()
168 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_deconvolution_f32() local
174 …utput_width = std::max(stride * (input_width - 1) + adjustment + effective_kernel_width, padding) … in xnnpack_deconvolution_f32()
Df16-igemm.cc60 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in IGEMMBenchmark() local
64 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in IGEMMBenchmark()
Df16-dwconv.cc64 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in DWConvBenchmark() local
68 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in DWConvBenchmark()
Df32-dwconv.cc56 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in DWConvBenchmark() local
60 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in DWConvBenchmark()
Df32-igemm.cc54 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in IGEMMBenchmark() local
58 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in IGEMMBenchmark()
Df32-dwconv2d-chw.cc75 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in DWConv2DBenchmark() local
77 …const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling +… in DWConv2DBenchmark()
/external/XNNPACK/src/operators/
Dmax-pooling-nhwc.c237 …const uint32_t effective_kernel_width = (max_pooling_op->kernel_width - 1) * max_pooling_op->dilat… in setup_max_pooling2d_nhwc() local
241 …x_pooling_op->output_width - 1) * max_pooling_op->stride_width + effective_kernel_width, input_wid… in setup_max_pooling2d_nhwc()
Dconvolution-nhwc.c818 …const uint32_t effective_kernel_width = (convolution_op->kernel_width - 1) * convolution_op->dilat… in setup_convolution2d_nhwc() local
822 …(convolution_op->output_width - 1) * convolution_op->stride_width + effective_kernel_width - input… in setup_convolution2d_nhwc()