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Searched refs:input_padding_top (Results 1 – 23 of 23) sorted by relevance

/external/XNNPACK/src/xnnpack/
Dconv.h32 size_t input_padding_top, \
54 size_t input_padding_top, \
Dsubgraph.h77 uint32_t input_padding_top; member
92 uint32_t input_padding_top; member
Dim2col.h26 size_t input_padding_top,
Dparams.h504 size_t input_padding_top,
519 size_t input_padding_top,
534 size_t input_padding_top,
549 size_t input_padding_top,
Dcompute.h218 size_t input_padding_top; member
/external/XNNPACK/src/
Dim2col.c23 size_t input_padding_top, in xnn_im2col_conv2d() argument
33 …st size_t input_y = output_y * subsampling_height + kernel_y * dilation_height - input_padding_top; in xnn_im2col_conv2d()
Dconvolution-nchw.c38 uint32_t input_padding_top, in xnn_create_convolution2d_nchw_f32() argument
152 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_convolution2d_nchw_f32()
160 …input_padding_top == 1 && input_padding_left == 1 && input_padding_bottom == 1 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
165 …input_padding_top == 0 && input_padding_left == 1 && input_padding_bottom == 0 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
171 …input_padding_top == 0 && input_padding_left == 1 && input_padding_bottom == 0 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
177 …input_padding_top == 0 && input_padding_left == 2 && input_padding_bottom == 0 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
183 …input_padding_top == 0 && input_padding_left == 2 && input_padding_bottom == 0 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
437 convolution_op->padding_top = input_padding_top; in xnn_create_convolution2d_nchw_f32()
628 .input_padding_top = convolution_op->padding_top, in setup_convolution2d_nchw()
Dsubgraph.c115 uint32_t input_padding_top, in xnn_define_convolution_2d() argument
240 node->params.convolution_2d.input_padding_top = input_padding_top; in xnn_define_convolution_2d()
268 uint32_t input_padding_top, in xnn_define_depthwise_convolution_2d() argument
386 node->params.depthwise_convolution_2d.input_padding_top = input_padding_top; in xnn_define_depthwise_convolution_2d()
Dmax-pooling-nhwc.c39 uint32_t input_padding_top, in xnn_create_max_pooling2d_nhwc_u8() argument
137 max_pooling_op->padding_top = input_padding_top; in xnn_create_max_pooling2d_nhwc_u8()
168 uint32_t input_padding_top, in xnn_create_max_pooling2d_nhwc_f32() argument
278 max_pooling_op->padding_top = input_padding_top; in xnn_create_max_pooling2d_nhwc_f32()
Daverage-pooling-nhwc.c37 uint32_t input_padding_top, in xnn_create_average_pooling2d_nhwc_q8() argument
164 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_average_pooling2d_nhwc_q8()
178 average_pooling_op->padding_top = input_padding_top; in xnn_create_average_pooling2d_nhwc_q8()
213 uint32_t input_padding_top, in xnn_create_average_pooling2d_nhwc_f32() argument
312 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_average_pooling2d_nhwc_f32()
325 average_pooling_op->padding_top = input_padding_top; in xnn_create_average_pooling2d_nhwc_f32()
Dindirection.c37 const size_t input_padding_top = op->padding_top; in xnn_indirection_init_conv2d() local
53 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_conv2d()
100 const size_t input_padding_top = op->padding_top; in xnn_indirection_init_dwconv2d() local
106 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_dwconv2d()
272 const size_t input_padding_top = op->padding_top; in xnn_indirection_init_maxpool2d() local
277 …st size_t input_y = doz(output_y * stride_height + pooling_y * dilation_height, input_padding_top); in xnn_indirection_init_maxpool2d()
Dconvolution-nhwc.c62 uint32_t input_padding_top, in xnn_create_convolution2d_nhwc_q8() argument
200 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_convolution2d_nhwc_q8()
206 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_create_convolution2d_nhwc_q8()
356 convolution_op->padding_top = input_padding_top; in xnn_create_convolution2d_nhwc_q8()
397 uint32_t input_padding_top, in xnn_create_convolution2d_nhwc_f32() argument
520 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_convolution2d_nhwc_f32()
526 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_create_convolution2d_nhwc_f32()
684 convolution_op->padding_top = input_padding_top; in xnn_create_convolution2d_nhwc_f32()
Dunpooling-nhwc.c33 uint32_t input_padding_top, in xnn_create_unpooling2d_nhwc_x32() argument
101 unpooling_op->padding_top = input_padding_top; in xnn_create_unpooling2d_nhwc_x32()
Dargmax-pooling-nhwc.c43 uint32_t input_padding_top, in xnn_create_argmax_pooling2d_nhwc_f32() argument
137 argmax_pooling_op->padding_top = input_padding_top; in xnn_create_argmax_pooling2d_nhwc_f32()
Druntime.c81 node->params.convolution_2d.input_padding_top, in xnn_create_runtime_v2()
132 node->params.depthwise_convolution_2d.input_padding_top, in xnn_create_runtime_v2()
Doperator-run.c233 context->input_padding_top, in xnn_compute_dconv2d_hwc2spchw()
/external/XNNPACK/include/
Dxnnpack.h226 uint32_t input_padding_top,
276 uint32_t input_padding_top,
525 uint32_t input_padding_top,
550 uint32_t input_padding_top,
592 uint32_t input_padding_top,
725 uint32_t input_padding_top,
882 uint32_t input_padding_top,
967 uint32_t input_padding_top,
1018 uint32_t input_padding_top,
1048 uint32_t input_padding_top,
[all …]
/external/XNNPACK/src/f32-conv-hwc/
D3x3s2p0p1c3x4-scalar-1x1.c21 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1() argument
29 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1()
39 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1()
44 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1()
52 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1()
D3x3s2p1c3x4-scalar-1x1.c21 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1() argument
29 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1()
39 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1()
44 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1()
52 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1()
D3x3s2p1c3x4-neonfma-2x2.c23 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2() argument
31 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2()
40 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2()
48 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2()
56 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2()
D3x3s2p1c3x8-neonfma-2x2.c23 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2() argument
31 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2()
40 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2()
48 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2()
56 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2()
/external/XNNPACK/src/f32-conv-hwc2spchw/
D3x3s2p1c3x4-scalar-1x1.c21 size_t input_padding_top, in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1() argument
29 assert(input_padding_top <= 1); in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1()
38 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1()
43 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1()
51 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1()
D3x3s2p1c3x4-neonfma-2x2.c23 size_t input_padding_top, in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2() argument
31 assert(input_padding_top <= 1); in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2()
40 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2()
48 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2()
56 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2()