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Searched refs:input_padding_top (Results 1 – 25 of 51) sorted by relevance

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/external/XNNPACK/src/subgraph/
Ddepthwise-convolution-2d.c18 uint32_t input_padding_top, in xnn_define_depthwise_convolution_2d() argument
109 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_define_depthwise_convolution_2d()
115 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_define_depthwise_convolution_2d()
125 input_padding_top = padding_height / 2; in xnn_define_depthwise_convolution_2d()
127 input_padding_bottom = padding_height - input_padding_top; in xnn_define_depthwise_convolution_2d()
164 node->params.depthwise_convolution_2d.input_padding_top = input_padding_top; in xnn_define_depthwise_convolution_2d()
Dconvolution-2d.c18 uint32_t input_padding_top, in xnn_define_convolution_2d() argument
117 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_define_convolution_2d()
123 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_define_convolution_2d()
133 input_padding_top = padding_height / 2; in xnn_define_convolution_2d()
135 input_padding_bottom = padding_height - input_padding_top; in xnn_define_convolution_2d()
172 node->params.convolution_2d.input_padding_top = input_padding_top; in xnn_define_convolution_2d()
Daverage-pooling-2d.c18 uint32_t input_padding_top, in xnn_define_average_pooling_2d() argument
83 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_define_average_pooling_2d()
90 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_define_average_pooling_2d()
115 node->params.pooling_2d.padding_top = input_padding_top; in xnn_define_average_pooling_2d()
Dmax-pooling-2d.c18 uint32_t input_padding_top, in xnn_define_max_pooling_2d() argument
91 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_define_max_pooling_2d()
98 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_define_max_pooling_2d()
123 node->params.pooling_2d.padding_top = input_padding_top; in xnn_define_max_pooling_2d()
Dargmax-pooling-2d.c18 uint32_t input_padding_top, in xnn_define_argmax_pooling_2d() argument
78 node->params.pooling_2d.padding_top = input_padding_top; in xnn_define_argmax_pooling_2d()
/external/XNNPACK/src/operators/
Dmax-pooling-nhwc.c46 uint32_t input_padding_top, in create_max_pooling2d_nhwc() argument
140 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in create_max_pooling2d_nhwc()
147 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in create_max_pooling2d_nhwc()
162 max_pooling_op->padding_top = input_padding_top; in create_max_pooling2d_nhwc()
325 uint32_t input_padding_top, in xnn_create_max_pooling2d_nhwc_u8() argument
352 input_padding_top, input_padding_right, input_padding_bottom, input_padding_left, in xnn_create_max_pooling2d_nhwc_u8()
364 uint32_t input_padding_top, in xnn_create_max_pooling2d_nhwc_f32() argument
405 input_padding_top, input_padding_right, input_padding_bottom, input_padding_left, in xnn_create_max_pooling2d_nhwc_f32()
Dconvolution-nchw.c38 uint32_t input_padding_top, in xnn_create_convolution2d_nchw_f32() argument
173 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_convolution2d_nchw_f32()
181 …input_padding_top == 1 && input_padding_left == 1 && input_padding_bottom == 1 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
186 …input_padding_top == 1 && input_padding_left == 1 && input_padding_bottom == 1 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
192 …(input_padding_top == 0 || input_padding_top == 1) && input_padding_left == 1 && input_padding_bot… in xnn_create_convolution2d_nchw_f32()
198 …input_padding_top == 2 && input_padding_left == 2 && input_padding_bottom == 2 && input_padding_ri… in xnn_create_convolution2d_nchw_f32()
204 …(input_padding_top == 1 || input_padding_top == 2) && input_padding_left == 2 && input_padding_bot… in xnn_create_convolution2d_nchw_f32()
216 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right, in xnn_create_convolution2d_nchw_f32()
477 convolution_op->padding_top = input_padding_top; in xnn_create_convolution2d_nchw_f32()
650 .input_padding_top = convolution_op->padding_top, in setup_convolution2d_nchw()
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Dargmax-pooling-nhwc.c43 uint32_t input_padding_top, in xnn_create_argmax_pooling2d_nhwc_f32() argument
105 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_argmax_pooling2d_nhwc_f32()
112 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_create_argmax_pooling2d_nhwc_f32()
127 argmax_pooling_op->padding_top = input_padding_top; in xnn_create_argmax_pooling2d_nhwc_f32()
Daverage-pooling-nhwc.c44 uint32_t input_padding_top, in xnn_create_average_pooling2d_nhwc_qu8() argument
142 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_average_pooling2d_nhwc_qu8()
149 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_create_average_pooling2d_nhwc_qu8()
196 average_pooling_op->padding_top = input_padding_top; in xnn_create_average_pooling2d_nhwc_qu8()
240 uint32_t input_padding_top, in xnn_create_average_pooling2d_nhwc_f32() argument
334 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in xnn_create_average_pooling2d_nhwc_f32()
341 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in xnn_create_average_pooling2d_nhwc_f32()
366 average_pooling_op->padding_top = input_padding_top; in xnn_create_average_pooling2d_nhwc_f32()
Dconvolution-nhwc.c62 uint32_t input_padding_top, in create_convolution2d_nhwc() argument
195 …const bool any_padding = (input_padding_left | input_padding_top | input_padding_right | input_pad… in create_convolution2d_nhwc()
202 input_padding_top, input_padding_left, input_padding_bottom, input_padding_right); in create_convolution2d_nhwc()
384 convolution_op->padding_top = input_padding_top; in create_convolution2d_nhwc()
419 uint32_t input_padding_top, in xnn_create_convolution2d_nhwc_qu8() argument
492 input_padding_top, input_padding_right, input_padding_bottom, input_padding_left, in xnn_create_convolution2d_nhwc_qu8()
517 uint32_t input_padding_top, in xnn_create_convolution2d_nhwc_qs8() argument
586 input_padding_top, input_padding_right, input_padding_bottom, input_padding_left, in xnn_create_convolution2d_nhwc_qs8()
611 uint32_t input_padding_top, in xnn_create_convolution2d_nhwc_f16() argument
667 input_padding_top, input_padding_right, input_padding_bottom, input_padding_left, in xnn_create_convolution2d_nhwc_f16()
[all …]
/external/XNNPACK/test/
Dsubgraph-tester.h75 uint32_t input_padding_top, uint32_t input_padding_right, in add_conv() argument
85 subgraph_.get(), input_padding_top, input_padding_right, in add_conv()
98 uint32_t input_padding_top, uint32_t input_padding_right, in add_depthwise_conv() argument
107 subgraph_.get(), input_padding_top, input_padding_right, in add_depthwise_conv()
/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()
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()
218 const size_t input_padding_top = op->padding_top; in xnn_indirection_init_dwconv2d() local
223 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_dwconv2d()
268 const size_t input_padding_top = op->padding_top; in xnn_indirection_init_maxpool2d() local
275 const size_t adjusted_padding_top = input_padding_top % dilation_height; in xnn_indirection_init_maxpool2d()
285 size_t input_y = output_y * stride_height + pooling_y * dilation_height - input_padding_top; in xnn_indirection_init_maxpool2d()
314 …y = min(doz(output_y * stride_height + pooling_y * dilation_height, input_padding_top), input_y_ma… in xnn_indirection_init_maxpool2d()
Dsubgraph.c143 …if ((node->params.convolution_2d.input_padding_top | node->params.convolution_2d.input_padding_rig… in xnn_check_nchw_compatibility()
153 …if (node->params.convolution_2d.input_padding_top != 1 || node->params.convolution_2d.input_paddin… in xnn_check_nchw_compatibility()
197 return node->params.depthwise_convolution_2d.input_padding_top == 1 && in xnn_check_nchw_compatibility()
202 return node->params.depthwise_convolution_2d.input_padding_top == 2 && in xnn_check_nchw_compatibility()
613 …consumer->params.convolution_2d.input_padding_top += producer->params.static_pad.pre_paddings[1… in xnn_subgraph_optimize()
637 consumer->params.depthwise_convolution_2d.input_padding_top += in xnn_subgraph_optimize()
/external/XNNPACK/src/xnnpack/
Dconv.h32 size_t input_padding_top, \
69 size_t input_padding_top, \
Dim2col.h26 size_t input_padding_top,
Dsubgraph.h124 uint32_t input_padding_top; member
156 uint32_t input_padding_top; member
/external/XNNPACK/include/
Dxnnpack.h239 uint32_t input_padding_top,
348 uint32_t input_padding_top,
434 uint32_t input_padding_top,
526 uint32_t input_padding_top,
561 uint32_t input_padding_top,
1134 uint32_t input_padding_top,
1157 uint32_t input_padding_top,
1227 uint32_t input_padding_top,
1404 uint32_t input_padding_top,
1648 uint32_t input_padding_top,
[all …]
/external/XNNPACK/src/f32-conv-hwc2chw/
D3x3s2p1c3x4-sse-1x1.c23 size_t input_padding_top, in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1() argument
31 assert(input_padding_top <= 1); in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1()
40 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1()
45 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1()
53 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1()
D3x3s2p1c3x4-scalar-1x1.c21 size_t input_padding_top, in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1() argument
29 assert(input_padding_top <= 1); in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1()
38 …const float*) ((uintptr_t) input + input_height_stride * (output_y_start * 2 - input_padding_top)); in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1()
43 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1()
51 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1()
/external/XNNPACK/src/f32-conv-hwc/gen/
D3x3s2p0p1c3x4-neon-2x1.c28 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__neon_2x1() argument
36 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__neon_2x1()
47 input_height_stride * (output_y_start * 2 /* vertical stride */ - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__neon_2x1()
55 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__neon_2x1()
61 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__neon_2x1()
D3x3s2p1c3x4-neonfma-2x1.c28 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x1() argument
36 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x1()
47 input_height_stride * (output_y_start * 2 /* vertical stride */ - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x1()
55 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x1()
63 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x1()
D3x3s2p1c3x4-neon-2x1.c28 size_t input_padding_top, in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neon_2x1() argument
36 assert(input_padding_top <= 1); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neon_2x1()
47 input_height_stride * (output_y_start * 2 /* vertical stride */ - input_padding_top)); in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neon_2x1()
55 if XNN_UNPREDICTABLE(output_y_start < input_padding_top) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neon_2x1()
61 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neon_2x1()
/external/XNNPACK/src/f32-conv-hwc/
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()
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()

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