| /external/tensorflow/tensorflow/core/kernels/ |
| D | eigen_pooling_test.cc | 35 const int output_cols = 2; in TEST() local
38 Tensor<float, 4> result(depth, output_rows, output_cols, num_batches); in TEST()
50 EXPECT_EQ(result.dimension(2), output_cols); in TEST()
56 for (int j = 0; j < output_cols; ++j) { in TEST()
83 const int output_cols = 2; in TEST() local
86 Tensor<float, 4, RowMajor> result(num_batches, output_cols, output_rows, in TEST()
99 EXPECT_EQ(result.dimension(1), output_cols); in TEST()
105 for (int j = 0; j < output_cols; ++j) { in TEST()
134 const int output_cols = 3; in TEST() local
139 Tensor<float, 5> result(channels, output_planes, output_rows, output_cols, in TEST()
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| D | eigen_backward_spatial_convolutions_test.cc | 38 const int output_cols = input_cols - patch_cols + 1; in TEST() local
42 Tensor<float, 3> output_backward(output_depth, output_rows, output_cols); in TEST()
65 output_j < output_cols) { in TEST()
87 const int output_cols = input_cols - patch_cols + 1; in TEST() local
93 Tensor<float, 3, RowMajor> output_backward(output_cols, output_rows, in TEST()
117 output_j < output_cols) { in TEST()
139 const int output_cols = input_cols; in TEST() local
143 Tensor<float, 3> output_backward(output_depth, output_rows, output_cols); in TEST()
165 output_j < output_cols) { in TEST()
187 const int output_cols = input_cols; in TEST() local
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| D | dilation_ops_gpu.cu.cc | 42 int output_cols, int stride_rows, int stride_cols, int rate_rows, in DilationKernel() argument
48 const int w_out = out_idx2 % output_cols; in DilationKernel()
49 const int out_idx3 = out_idx2 / output_cols; in DilationKernel()
81 int filter_cols, int output_rows, int output_cols, int stride_rows, in DilationBackpropInputKernel() argument
88 const int w_out = out_idx2 % output_cols; in DilationBackpropInputKernel()
89 const int out_idx3 = out_idx2 / output_cols; in DilationBackpropInputKernel()
131 int filter_cols, int output_rows, int output_cols, int stride_rows, in DilationBackpropFilterKernel() argument
138 const int w_out = out_idx2 % output_cols; in DilationBackpropFilterKernel()
139 const int out_idx3 = out_idx2 / output_cols; in DilationBackpropFilterKernel()
194 const int output_cols = output.dimension(2); in operator ()() local
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| D | eigen_backward_cuboid_convolutions_test.cc | 39 const int output_cols = input_cols - patch_cols + 1; in TEST() local
48 output_cols); in TEST()
76 output_k >= 0 && output_k < output_cols) { in TEST()
102 const int output_cols = input_cols - patch_cols + 1; in TEST() local
110 Tensor<float, 4, RowMajor> output_backward(output_cols, output_rows, in TEST()
139 output_k >= 0 && output_k < output_cols) { in TEST()
165 const int output_cols = input_cols; in TEST() local
174 output_cols); in TEST()
210 output_k >= 0 && output_k < output_cols) { in TEST()
236 const int output_cols = input_cols; in TEST() local
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| D | eigen_spatial_convolutions_test.cc | 37 const int output_cols = input_cols; in TEST() local
41 Tensor<float, 3> result(output_depth, output_rows, output_cols); in TEST()
51 EXPECT_EQ(result.dimension(2), output_cols); in TEST()
55 for (int j = 0; j < output_cols; ++j) { in TEST()
61 c - 1 + j < output_cols) { in TEST()
82 const int output_cols = input_cols; in TEST() local
87 Tensor<float, 3, RowMajor> result(output_cols, output_rows, output_depth); in TEST()
94 EXPECT_EQ(result.dimension(0), output_cols); in TEST()
100 for (int j = 0; j < output_cols; ++j) { in TEST()
106 c - 1 + j < output_cols) { in TEST()
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| D | dilation_ops.cc | 177 const int output_cols = output.dimension(2); in operator ()() local
184 for (int w_out = 0; w_out < output_cols; ++w_out) { in operator ()()
286 const int output_cols = out_backprop.dimension(2); in operator ()() local
299 for (int w_out = 0; w_out < output_cols; ++w_out) { in operator ()()
406 const int output_cols = out_backprop.dimension(2); in operator ()() local
419 for (int w_out = 0; w_out < output_cols; ++w_out) { in operator ()()
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| /external/libjpeg-turbo/ |
| D | jcsample.c | 95 JDIMENSION output_cols) in expand_right_edge() argument
101 int numcols = (int)(output_cols - input_cols); in expand_right_edge()
152 JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE; in int_downsample() local
166 output_cols * h_expand); in int_downsample()
171 for (outcol = 0, outcol_h = 0; outcol < output_cols; in int_downsample()
224 JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE; in h2v1_downsample() local
233 output_cols * 2); in h2v1_downsample()
239 for (outcol = 0; outcol < output_cols; outcol++) { in h2v1_downsample()
261 JDIMENSION output_cols = compptr->width_in_blocks * DCTSIZE; in h2v2_downsample() local
270 output_cols * 2); in h2v2_downsample()
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| /external/libjpeg-turbo/simd/powerpc/ |
| D | jcsample-altivec.c | 37 JDIMENSION output_cols = width_in_blocks * DCTSIZE; in jsimd_h2v1_downsample_altivec() local
51 output_cols * 2); in jsimd_h2v1_downsample_altivec()
57 for (outcol = output_cols; outcol > 0; in jsimd_h2v1_downsample_altivec()
93 JDIMENSION output_cols = width_in_blocks * DCTSIZE; in jsimd_h2v2_downsample_altivec() local
108 output_cols * 2); in jsimd_h2v2_downsample_altivec()
117 for (outcol = output_cols; outcol > 0; in jsimd_h2v2_downsample_altivec()
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| D | jcsample.h | 12 JDIMENSION output_cols) in expand_right_edge() argument
18 int numcols = (int)(output_cols - input_cols); in expand_right_edge()
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| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| D | runtime_single_threaded_conv2d.cc | 30 int64 output_cols, int64 row_stride, int64 col_stride, int64 padding_top, in __xla_cpu_runtime_EigenSingleThreadedConvF16() argument
37 kernel_filters, output_rows, output_cols, row_stride, col_stride, in __xla_cpu_runtime_EigenSingleThreadedConvF16()
47 int64 kernel_filters, int64 output_rows, int64 output_cols, in __xla_cpu_runtime_EigenSingleThreadedConvF32() argument
54 kernel_filters, output_rows, output_cols, row_stride, col_stride, in __xla_cpu_runtime_EigenSingleThreadedConvF32()
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| D | runtime_conv2d.cc | 32 int64 kernel_filters, int64 output_rows, int64 output_cols, in __xla_cpu_runtime_EigenConvF32() argument
42 kernel_channels, kernel_filters, output_rows, output_cols, row_stride, in __xla_cpu_runtime_EigenConvF32()
52 int64 output_cols, int64 row_stride, int64 col_stride, int64 padding_top, in __xla_cpu_runtime_EigenConvF16() argument
62 kernel_channels, kernel_filters, output_rows, output_cols, row_stride, in __xla_cpu_runtime_EigenConvF16()
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| D | runtime_conv2d_impl.h | 34 Eigen::Index output_cols, Eigen::Index row_stride, in EigenConvImpl() argument
50 output(out, input_batch, output_rows, output_cols, kernel_filters); in EigenConvImpl()
60 pre_contract_dims[0] = output_cols * output_rows * input_batch; in EigenConvImpl()
67 post_contract_dims[2] = output_cols; in EigenConvImpl()
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| D | runtime_conv2d_mkl.cc | 56 int64 output_rows, int64 output_cols, int64 row_stride, in MKLConvImpl() argument
74 ToInt(output_rows), ToInt(output_cols)}; in MKLConvImpl()
156 int64 kernel_filters, int64 output_rows, int64 output_cols, in __xla_cpu_runtime_MKLConvF32() argument
167 kernel_filters, output_rows, output_cols, row_stride, col_stride, in __xla_cpu_runtime_MKLConvF32()
173 kernel_filters, output_rows, output_cols, row_stride, in __xla_cpu_runtime_MKLConvF32()
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| D | runtime_conv2d.h | 31 tensorflow::int64 output_cols, tensorflow::int64 row_stride,
45 tensorflow::int64 output_rows, tensorflow::int64 output_cols,
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| D | runtime_single_threaded_conv2d.h | 31 tensorflow::int64 output_rows, tensorflow::int64 output_cols,
45 tensorflow::int64 output_cols, tensorflow::int64 row_stride,
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| /external/angle/src/libANGLE/ |
| D | gen_overlay_fonts.py | 159 output_cols = 32
160 assert (len(chars) == output_rows * output_cols)
190 font_array_width = output_cols * glyph_width / 32
196 base_x = (charIndex % output_cols) * glyph_width
197 base_y = (charIndex / output_cols) * glyph_height
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| /external/libjpeg-turbo/simd/loongson/ |
| D | jcsample-mmi.c | 43 JDIMENSION output_cols = width_in_blocks * DCTSIZE; in jsimd_h2v2_downsample_mmi() local
48 output_cols * 2); in jsimd_h2v2_downsample_mmi()
62 for (outcol = output_cols; outcol > 0; in jsimd_h2v2_downsample_mmi()
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| D | jcsample.h | 12 JDIMENSION output_cols) in expand_right_edge() argument
18 int numcols = (int)(output_cols - input_cols); in expand_right_edge()
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| /external/libjpeg-turbo/simd/x86_64/ |
| D | jcsample-sse2.asm | 53 shl rcx, 3 ; imul rcx,DCTSIZE (rcx = output_cols)
61 shl rcx, 1 ; output_cols * 2
89 pop rcx ; output_cols
198 shl rcx, 3 ; imul rcx,DCTSIZE (rcx = output_cols)
206 shl rcx, 1 ; output_cols * 2
234 pop rcx ; output_cols
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| D | jcsample-avx2.asm | 54 shl rcx, 3 ; imul rcx,DCTSIZE (rcx = output_cols)
62 shl rcx, 1 ; output_cols * 2
90 pop rcx ; output_cols
216 shl rcx, 3 ; imul rcx,DCTSIZE (rcx = output_cols)
224 shl rcx, 1 ; output_cols * 2
252 pop rcx ; output_cols
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
| D | conv.h | 91 const int output_cols = in ConvPerChannel() local
94 TFLITE_DCHECK_EQ(output_cols, gemm_input_cols); in ConvPerChannel()
110 dst_params.cols = output_cols; in ConvPerChannel()
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| /external/libjpeg-turbo/simd/i386/ |
| D | jcsample-mmx.asm | 56 shl ecx, 3 ; imul ecx,DCTSIZE (ecx = output_cols)
64 shl ecx, 1 ; output_cols * 2
93 pop ecx ; output_cols
199 shl ecx, 3 ; imul ecx,DCTSIZE (ecx = output_cols)
207 shl ecx, 1 ; output_cols * 2
236 pop ecx ; output_cols
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| D | jcsample-sse2.asm | 56 shl ecx, 3 ; imul ecx,DCTSIZE (ecx = output_cols)
64 shl ecx, 1 ; output_cols * 2
93 pop ecx ; output_cols
212 shl ecx, 3 ; imul ecx,DCTSIZE (ecx = output_cols)
220 shl ecx, 1 ; output_cols * 2
249 pop ecx ; output_cols
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| D | jcsample-avx2.asm | 57 shl ecx, 3 ; imul ecx,DCTSIZE (ecx = output_cols)
65 shl ecx, 1 ; output_cols * 2
94 pop ecx ; output_cols
230 shl ecx, 3 ; imul ecx,DCTSIZE (ecx = output_cols)
238 shl ecx, 1 ; output_cols * 2
267 pop ecx ; output_cols
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| /external/tensorflow/tensorflow/core/framework/ |
| D | common_shape_fns.cc | 233 DimensionHandle output_cols = transpose_b ? c->Dim(b, 0) : c->Dim(b, 1); in MatMulShape() local
241 c->set_output(0, c->Matrix(output_rows, output_cols)); in MatMulShape()
430 DimensionHandle output_cols = c->Dim(b_shape, adj_y ? -2 : -1); in BatchMatMulV2Shape() local
449 output_batch_shape, c->Matrix(output_rows, output_cols), &output_shape)); in BatchMatMulV2Shape()
467 DimensionHandle output_cols = c->Dim(b_shape, adj_y ? -2 : -1); in BatchMatMulShape() local
484 c->Concatenate(batch_dims, c->Matrix(output_rows, output_cols), &out)); in BatchMatMulShape()
789 DimensionHandle output_rows, output_cols; in Conv2DShapeImpl() local
803 padding, pad_cols_before, pad_cols_after, &output_cols)); in Conv2DShapeImpl()
807 ShapeFromDimensions(batch_size_dim, {output_rows, output_cols}, in Conv2DShapeImpl()
913 DimensionHandle output_planes, output_rows, output_cols; in Conv3DShape() local
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