| /external/XNNPACK/test/ |
| D | f32-dwconv2d-chw.cc | 27 .kernel_width(3) in TEST()
43 .kernel_width(3) in TEST()
60 .kernel_width(3) in TEST()
77 .kernel_width(3) in TEST()
95 .kernel_width(3) in TEST()
115 .kernel_width(3) in TEST()
131 .kernel_width(3) in TEST()
148 .kernel_width(3) in TEST()
165 .kernel_width(3) in TEST()
183 .kernel_width(3) in TEST()
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| D | convolution-nhwc.cc | 818 .kernel_width(3) in TEST()
831 .kernel_width(3) in TEST()
845 .kernel_width(3) in TEST()
860 .kernel_width(3) in TEST()
874 .kernel_width(3) in TEST()
889 .kernel_width(3) in TEST()
904 .kernel_width(3) in TEST()
918 .kernel_width(3) in TEST()
933 .kernel_width(3) in TEST()
948 .kernel_width(3) in TEST()
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| D | dwconv2d-microkernel-tester.h | 113 inline DWConv2DMicrokernelTester& kernel_width(uint32_t kernel_width) { in kernel_width() function
114 assert(kernel_width != 0); in kernel_width()
115 this->kernel_width_ = kernel_width; in kernel_width()
119 inline uint32_t kernel_width() const { in kernel_width() function
124 return kernel_height() * kernel_width(); in kernel_size()
138 if (padded_input_width <= kernel_width()) { in output_width()
141 return (padded_input_width - kernel_width()) / subsampling() + 1; in output_width()
193 for (size_t kx = 0; kx < kernel_width(); kx++) {
197 const float kernel_val = packed_weights[1 + ky * kernel_width() + kx];
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| D | conv-hwc2chw-microkernel-tester.h | 178 inline ConvHWC2CHWMicrokernelTester& kernel_width(uint32_t kernel_width) { in kernel_width() function
179 assert(kernel_width >= 1); in kernel_width()
180 this->kernel_width_ = kernel_width; in kernel_width()
184 inline uint32_t kernel_width() const { in kernel_width() function
256 if (padded_input_width < kernel_width()) { in output_width()
259 return (padded_input_width - kernel_width()) / subsampling_width() + 1; in output_width()
304 …std::vector<float> kernel(output_channels() * kernel_height() * kernel_width() * input_channels());
308 …ator<float, 64>> packed_weights((input_channels() * kernel_height() * kernel_width() + 1) * packed…
321 kernel_height(), kernel_width(),
333 for (size_t kx = 0; kx < kernel_width(); kx++) {
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| D | conv-hwc-microkernel-tester.h | 178 inline ConvHWCMicrokernelTester& kernel_width(uint32_t kernel_width) { in kernel_width() argument
179 assert(kernel_width >= 1); in kernel_width()
180 this->kernel_width_ = kernel_width; in kernel_width()
184 inline uint32_t kernel_width() const { in kernel_width() function
253 …eturn (std::max<size_t>(padded_input_width + subsampling_width(), kernel_width()) - kernel_width()) in output_width()
298 …std::vector<float> kernel(output_channels() * kernel_height() * kernel_width() * input_channels());
302 …ator<float, 64>> packed_weights((input_channels() * kernel_height() * kernel_width() + 1) * packed…
315 kernel_height(), kernel_width(),
327 for (size_t kx = 0; kx < kernel_width(); kx++) {
333 … kernel[((oc * kernel_height() + ky) * kernel_width() + kx) * input_channels() + ic];
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| D | convolution-operator-tester.h | 216 inline ConvolutionOperatorTester& kernel_size(uint32_t kernel_height, uint32_t kernel_width) { in kernel_size() argument
218 assert(kernel_width >= 1); in kernel_size()
220 this->kernel_width_ = kernel_width; in kernel_size()
234 inline ConvolutionOperatorTester& kernel_width(uint32_t kernel_width) { in kernel_width() function
235 assert(kernel_width >= 1); in kernel_width()
236 this->kernel_width_ = kernel_width; in kernel_width()
240 inline uint32_t kernel_width() const { in kernel_width() function
349 return (kernel_width() - 1) * dilation_width() + 1; in dilated_kernel_width()
518 …std::vector<int8_t> kernel(groups() * group_output_channels() * kernel_height() * kernel_width() *… in TestNHWCxQS8()
558 for (size_t kx = 0; kx < kernel_width(); kx++) { in TestNHWCxQS8()
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| D | deconvolution-operator-tester.h | 248 inline DeconvolutionOperatorTester& kernel_size(uint32_t kernel_height, uint32_t kernel_width) { in kernel_size() argument
250 assert(kernel_width >= 1); in kernel_size()
252 this->kernel_width_ = kernel_width; in kernel_size()
266 inline DeconvolutionOperatorTester& kernel_width(uint32_t kernel_width) { in kernel_width() function
267 assert(kernel_width >= 1); in kernel_width()
268 this->kernel_width_ = kernel_width; in kernel_width()
272 inline uint32_t kernel_width() const { in kernel_width() function
381 return (kernel_width() - 1) * dilation_width() + 1; in dilated_kernel_width()
494 …std::vector<uint8_t> kernel(groups() * group_output_channels() * kernel_height() * kernel_width() … in TestQU8()
533 for (size_t kx = 0; kx < kernel_width(); kx++) { in TestQU8()
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| D | deconvolution-nhwc.cc | 589 for (size_t kernel_width = 1; kernel_width <= 4; kernel_width *= 2) { variable
593 .kernel_size(3, kernel_width)
908 for (size_t kernel_width = 1; kernel_width <= 4; kernel_width *= 2) { in TEST() local
912 .kernel_size(3, kernel_width) in TEST()
1247 for (size_t kernel_width = 1; kernel_width <= 4; kernel_width *= 2) { in TEST() local
1252 .kernel_size(3, kernel_width) in TEST()
1588 for (size_t kernel_width = 1; kernel_width <= 4; kernel_width *= 2) { in TEST() local
1593 .kernel_size(3, kernel_width) in TEST()
1924 .kernel_width(5)
1938 .kernel_width(5)
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| /external/XNNPACK/tools/ |
| D | generate-dwconv2d-chw-test.py | 227 kernel_height, kernel_width = int(match.group(2)), int(match.group(3))
239 return kernel_height, kernel_width, stride, padding, arch, isa, \
243 def generate_test_cases(ukernel, kernel_height, kernel_width, subsampling, \ argument
280 "KERNEL_WIDTH": kernel_width,
322 kernel_height, kernel_width, subsampling, padding, arch, isa, \
328 test_case = generate_test_cases(name, kernel_height, kernel_width, \
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| /external/XNNPACK/src/ |
| D | im2col.c | 17 size_t kernel_width, in xnn_im2col_conv2d() argument
35 for (size_t kernel_x = 0; kernel_x < kernel_width; kernel_x++) { in xnn_im2col_conv2d()
47 memset(output, 0, kernel_width * group_input_channels_in_bytes); in xnn_im2col_conv2d()
48 output = (void*) ((uintptr_t) output + kernel_width * group_input_channels_in_bytes); in xnn_im2col_conv2d()
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| D | indirection.c | 32 const size_t kernel_width = op->kernel_width; in xnn_indirection_init_conv2d() local
42 const size_t kernel_size = kernel_height * kernel_width; in xnn_indirection_init_conv2d()
55 for (size_t kernel_x = 0; kernel_x < kernel_width; kernel_x++) { in xnn_indirection_init_conv2d()
57 const size_t kernel_index = kernel_y * kernel_width + kernel_x; in xnn_indirection_init_conv2d()
67 for (size_t kernel_x = 0; kernel_x < kernel_width; kernel_x++) { in xnn_indirection_init_conv2d()
68 const size_t kernel_index = kernel_y * kernel_width + kernel_x; in xnn_indirection_init_conv2d()
92 const size_t kernel_width = op->kernel_width; in xnn_indirection_init_deconv2d() local
102 const size_t kernel_size = kernel_height * kernel_width; in xnn_indirection_init_deconv2d()
117 for (size_t kernel_x = 0; kernel_x < kernel_width; kernel_x++) { in xnn_indirection_init_deconv2d()
120 const size_t kernel_index = kernel_y * kernel_width + kernel_x; in xnn_indirection_init_deconv2d()
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| /external/XNNPACK/src/subgraph/ |
| D | depthwise-convolution-2d.c | 23 uint32_t kernel_width, in xnn_define_depthwise_convolution_2d() argument
44 if (kernel_width == 0 || kernel_height == 0) { in xnn_define_depthwise_convolution_2d()
47 xnn_node_type_to_string(xnn_node_type_depthwise_convolution_2d), kernel_width, kernel_height); in xnn_define_depthwise_convolution_2d()
123 const uint32_t padding_width = (kernel_width - 1) * dilation_width; in xnn_define_depthwise_convolution_2d()
169 node->params.depthwise_convolution_2d.kernel_width = kernel_width; in xnn_define_depthwise_convolution_2d()
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| D | convolution-2d.c | 23 uint32_t kernel_width, in xnn_define_convolution_2d() argument
45 if (kernel_width == 0 || kernel_height == 0) { in xnn_define_convolution_2d()
48 xnn_node_type_to_string(xnn_node_type_convolution_2d), kernel_width, kernel_height); in xnn_define_convolution_2d()
131 const uint32_t padding_width = (kernel_width - 1) * dilation_width; in xnn_define_convolution_2d()
177 node->params.convolution_2d.kernel_width = kernel_width; in xnn_define_convolution_2d()
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| D | deconvolution-2d.c | 25 uint32_t kernel_width, in xnn_define_deconvolution_2d() argument
47 if (kernel_width == 0 || kernel_height == 0) { in xnn_define_deconvolution_2d()
50 xnn_node_type_to_string(xnn_node_type_deconvolution_2d), kernel_width, kernel_height); in xnn_define_deconvolution_2d()
149 node->params.deconvolution_2d.kernel_width = kernel_width; in xnn_define_deconvolution_2d()
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| /external/XNNPACK/bench/ |
| D | deconvolution.cc | 33 const size_t kernel_width = state.range(4); in xnnpack_deconvolution_qu8() local
50 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_deconvolution_qu8()
60 …std::vector<uint8_t> kernel(groups * group_output_channels * kernel_height * kernel_width * group_… in xnnpack_deconvolution_qu8()
81 kernel_height, kernel_width, in xnnpack_deconvolution_qu8()
142 kernel_height * kernel_width, in xnnpack_deconvolution_qu8()
152 const size_t kernel_width = state.range(4); in xnnpack_deconvolution_f32() local
168 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_deconvolution_f32()
178 …std::vector<float> kernel(groups * group_output_channels * kernel_height * kernel_width * group_in… in xnnpack_deconvolution_f32()
199 kernel_height, kernel_width, in xnnpack_deconvolution_f32()
259 kernel_height * kernel_width, in xnnpack_deconvolution_f32()
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| D | f16-dwconv.cc | 45 const size_t kernel_width = state.range(3); in DWConvBenchmark() local
52 const size_t kernel_size = kernel_height * kernel_width; in DWConvBenchmark()
64 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in DWConvBenchmark()
70 const size_t step_width = dilation == 1 ? subsampling : kernel_width; in DWConvBenchmark()
77 std::vector<uint16_t> k(channels * kernel_height * kernel_width); in DWConvBenchmark()
93 xnn_pack_f16_dwconv_ghw_w(kernel_height, kernel_width, channels, cr, in DWConvBenchmark()
110 convolution_op.kernel_width = kernel_width; in DWConvBenchmark()
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| D | f32-im2col-gemm.cc | 37 const size_t kernel_width = state.range(3); in Im2ColGEMMBenchmark() local
38 const size_t kernel_size = kernel_height * kernel_width; in Im2ColGEMMBenchmark()
51 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in Im2ColGEMMBenchmark()
63 std::vector<float> k(group_output_channels * kernel_height * kernel_width * group_input_channels); in Im2ColGEMMBenchmark()
101 kernel_height, kernel_width, in Im2ColGEMMBenchmark()
134 kernel_height * kernel_width, in Im2ColGEMMBenchmark()
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| D | f16-igemm.cc | 43 const size_t kernel_width = state.range(3); in IGEMMBenchmark() local
44 const size_t kernel_size = kernel_height * kernel_width; in IGEMMBenchmark()
60 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in IGEMMBenchmark()
73 …std::vector<uint16_t> k(group_output_channels * kernel_height * kernel_width * group_input_channel… in IGEMMBenchmark()
110 convolution_op.kernel_width = kernel_width; in IGEMMBenchmark()
162 kernel_height * kernel_width, in IGEMMBenchmark()
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| D | convolution.cc | 46 const size_t kernel_width = state.range(4); in xnnpack_convolution_qu8() local
63 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_qu8()
73 …std::vector<uint8_t> kernel(groups * group_output_channels * kernel_height * kernel_width * group_… in xnnpack_convolution_qu8()
94 kernel_height, kernel_width, in xnnpack_convolution_qu8()
155 kernel_height * kernel_width, in xnnpack_convolution_qu8()
166 const size_t kernel_width = state.range(4); in xnnpack_convolution_qs8() local
184 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in xnnpack_convolution_qs8()
194 …std::vector<int8_t> kernel(groups * group_output_channels * kernel_height * kernel_width * group_i… in xnnpack_convolution_qs8()
215 kernel_height, kernel_width, in xnnpack_convolution_qs8()
275 kernel_height * kernel_width, in xnnpack_convolution_qs8()
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| D | f32-dwconv.cc | 38 const size_t kernel_width = state.range(3); in DWConvBenchmark() local
45 const size_t kernel_size = kernel_height * kernel_width; in DWConvBenchmark()
56 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1; in DWConvBenchmark()
62 const size_t step_width = dilation == 1 ? subsampling : kernel_width; in DWConvBenchmark()
69 std::vector<float> k(channels * kernel_height * kernel_width); in DWConvBenchmark()
85 xnn_pack_f32_dwconv_ghw_w(kernel_height, kernel_width, channels, cr, in DWConvBenchmark()
102 convolution_op.kernel_width = kernel_width; in DWConvBenchmark()
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | atrous_conv2d_test.py | 73 for kernel_width in range(1, 4):
74 f_shape = [kernel_height, kernel_width, 2, 2]
178 for kernel_width in range(1, 4):
179 f_shape = [kernel_height, kernel_width, 2, 2]
186 kernel_width_up = kernel_width + (kernel_width - 1) * (rate - 1)
218 for kernel_width in range(1, 4):
219 f_shape = [kernel_height, kernel_width, 2, 2]
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| D | atrous_convolution_test.py | 134 for kernel_height, kernel_width in [[1, 1], [2, 2], [2, 3]]:
139 filter_shape=[kernel_height, kernel_width, 2, 2],
149 for kernel_depth, kernel_height, kernel_width in [[3, 3,
157 kernel_depth, kernel_height, kernel_width, 2, 2
168 for kernel_width in range(1, 4):
173 filter_shape=[kernel_width, 2, 2],
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| /external/XNNPACK/src/operators/ |
| D | deconvolution-nhwc.c | 47 uint32_t kernel_width, in create_deconvolution2d_nhwc() argument
86 if (kernel_width == 0 || kernel_height == 0) { in create_deconvolution2d_nhwc()
89 xnn_operator_type_to_string(operator_type), kernel_width, kernel_height); in create_deconvolution2d_nhwc()
175 const uint32_t kernel_size = kernel_height * kernel_width; in create_deconvolution2d_nhwc()
178 …) > 1 && max(dilation_height, dilation_width) == 1 && stride_width <= kernel_width && stride_heigh… in create_deconvolution2d_nhwc()
197 const size_t subkernel_width = divide_round_up(kernel_width - offset_x, stride_width); in create_deconvolution2d_nhwc()
225 groups, group_output_channels, kernel_height, kernel_width, group_input_channels, in create_deconvolution2d_nhwc()
251 deconvolution_op->kernel_width = kernel_width; in create_deconvolution2d_nhwc()
277 const uint32_t padding_width = (kernel_width - 1) * dilation_width; in create_deconvolution2d_nhwc()
307 uint32_t kernel_width, in xnn_create_deconvolution2d_nhwc_qu8() argument
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| D | convolution-nchw.c | 43 uint32_t kernel_width, in xnn_create_convolution2d_nchw_f32() argument
71 if (kernel_width == 0 || kernel_height == 0) { in xnn_create_convolution2d_nchw_f32()
74 … xnn_operator_type_to_string(xnn_operator_type_convolution_nchw_f32), kernel_width, kernel_height); in xnn_create_convolution2d_nchw_f32()
174 …const bool is_1x1 = kernel_width == 1 && kernel_height == 1 && subsampling_height == 1 && subsampl… in xnn_create_convolution2d_nchw_f32()
175 …const bool is_3x3 = kernel_width == 3 && kernel_height == 3 && dilation_height == 1 && dilation_wi… in xnn_create_convolution2d_nchw_f32()
176 …const bool is_5x5 = kernel_width == 5 && kernel_height == 5 && dilation_height == 1 && dilation_wi… in xnn_create_convolution2d_nchw_f32()
215 …kernel_width, kernel_height, subsampling_width, subsampling_height, dilation_width, dilation_heigh… in xnn_create_convolution2d_nchw_f32()
235 assert(kernel_width == 1); in xnn_create_convolution2d_nchw_f32()
417 (group_input_channels * kernel_height * kernel_width + 1 /* bias */) * sizeof(float); in xnn_create_convolution2d_nchw_f32()
430 kernel_height, kernel_width, in xnn_create_convolution2d_nchw_f32()
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| D | convolution-nhwc.c | 67 uint32_t kernel_width, in create_convolution2d_nhwc() argument
125 if (kernel_width == 0 || kernel_height == 0) { in create_convolution2d_nhwc()
128 xnn_operator_type_to_string(operator_type), kernel_width, kernel_height); in create_convolution2d_nhwc()
217 const size_t kernel_size = kernel_height * kernel_width; in create_convolution2d_nhwc()
279 kernel_height, kernel_width, in create_convolution2d_nhwc()
284 kernel_height, kernel_width, in create_convolution2d_nhwc()
390 convolution_op->kernel_width = kernel_width; in create_convolution2d_nhwc()
424 uint32_t kernel_width, in xnn_create_convolution2d_nhwc_qu8() argument
493 kernel_height, kernel_width, in xnn_create_convolution2d_nhwc_qu8()
522 uint32_t kernel_width, in xnn_create_convolution2d_nhwc_qs8() argument
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