| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | pooling.h | 41 for (int out_y = 0; out_y < output_height; ++out_y) { in AveragePool() local
47 (out_y * stride_height) - params.padding_values.height; in AveragePool()
70 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
96 for (int out_y = 0; out_y < output_height; ++out_y) { in AveragePool() local
102 (out_y * stride_height) - params.padding_values.height; in AveragePool()
127 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
149 for (int out_y = 0; out_y < output_height; ++out_y) { in L2Pool() local
155 (out_y * stride_height) - params.padding_values.height; in L2Pool()
179 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in L2Pool()
203 for (int out_y = 0; out_y < output_height; ++out_y) { in MaxPool() local
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| D | conv.h | 61 for (int out_y = 0; out_y < output_height; ++out_y) { in Conv() local
65 const int in_y_origin = (out_y * stride_height) - pad_height; in Conv()
91 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in Conv()
141 for (int out_y = 0; out_y < output_height; ++out_y) { in Conv() local
145 const int in_y_origin = (out_y * stride_height) - pad_height; in Conv()
176 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in Conv()
218 for (int out_y = 0; out_y < output_height; ++out_y) { in HybridConvPerChannel() local
222 const int in_y_origin = (out_y * stride_height) - pad_height; in HybridConvPerChannel()
249 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in HybridConvPerChannel()
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| D | depthwiseconv_uint8.h | 131 for (int out_y = 0; out_y < output_height; ++out_y) { in Run() local
137 const int in_y_origin = (out_y * stride_height) - pad_height; in Run()
166 output_data[Offset(output_shape, b, out_y, out_x, oc)] = in Run()
218 for (int out_y = 0; out_y < output_height; ++out_y) { in RunPerChannel() local
224 const int in_y_origin = (out_y * stride_height) - pad_height; in RunPerChannel()
268 output_data[Offset(output_shape, batch, out_y, out_x, in RunPerChannel()
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| D | depthwiseconv_float.h | 57 for (int out_y = 0; out_y < output_height; ++out_y) { in DepthwiseConv() local
63 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConv()
86 output_data[Offset(output_shape, b, out_y, out_x, oc)] = in DepthwiseConv()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | transpose_conv.h | 75 const int out_y = out_y_origin + filter_y; in TransposeConv() local
77 if ((out_x >= 0) && (out_x < output_width) && (out_y >= 0) && in TransposeConv()
78 (out_y < output_height)) { in TransposeConv()
84 scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
97 for (int out_y = 0; out_y < output_height; ++out_y) { in TransposeConv() local
100 int32 acc = scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
107 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in TransposeConv()
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| D | pooling.h | 40 for (int out_y = 0; out_y < output_height; ++out_y) { in AveragePool() local
46 (out_y * stride_height) - params.padding_values.height; in AveragePool()
73 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
101 for (int out_y = 0; out_y < output_height; ++out_y) { in MaxPool() local
107 (out_y * stride_height) - params.padding_values.height; in MaxPool()
130 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in MaxPool()
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| D | depthwise_conv.h | 62 for (int out_y = 0; out_y < output_height; ++out_y) { in DepthwiseConvPerChannel() local
68 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvPerChannel()
113 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConvPerChannel()
157 for (int out_y = 0; out_y < output_height; ++out_y) { in DepthwiseConvHybridPerChannel() local
163 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvHybridPerChannel()
189 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConvHybridPerChannel()
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| D | conv.h | 65 for (int out_y = 0; out_y < output_height; ++out_y) { in ConvPerChannel() local
69 const int in_y_origin = (out_y * stride_height) - pad_height; in ConvPerChannel()
117 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in ConvPerChannel()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | resize_nearest_neighbor_op_gpu.cu.cc | 46 int out_y = n % out_height; in ResizeNearestNeighborNHWC() local
52 floorf((static_cast<float>(out_y) + 0.5f) * height_scale)), in ResizeNearestNeighborNHWC()
77 int out_y = n % out_height; in LegacyResizeNearestNeighborNHWC() local
82 min((align_corners) ? static_cast<int>(roundf(out_y * height_scale)) in LegacyResizeNearestNeighborNHWC()
83 : static_cast<int>(floorf(out_y * height_scale)), in LegacyResizeNearestNeighborNHWC()
110 const int out_y = in ResizeNearestNeighborBackwardNHWC() local
120 const int idx = (out_y * out_width + out_x) * channels + c; in ResizeNearestNeighborBackwardNHWC()
141 const int out_y = in LegacyResizeNearestNeighborBackwardNHWC() local
149 const int idx = (out_y * out_width + out_x) * channels + c; in LegacyResizeNearestNeighborBackwardNHWC()
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| D | conv_ops_using_gemm.cc | 129 for (int out_y = 0; out_y < output_height; ++out_y) { in operator ()() local
153 const int in_y_origin = (out_y * stride_rows) - filter_top_offset; in operator ()()
184 (out_y * output_width * filter_count) + in operator ()()
335 const int64 out_y = (patch_index / output_width) % output_height; in operator ()() local
339 const int in_y_origin = (out_y * stride_rows) - filter_top_offset; in operator ()()
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| D | quantized_conv_ops.cc | 106 for (int out_y = 0; out_y < output_height; ++out_y) { in operator ()() local
130 const int in_y_origin = (out_y * stride) - filter_top_offset; in operator ()()
177 (out_y * output_width * filter_count) + in operator ()()
303 const int64 out_y = (patch_index / output_width) % output_height; in operator ()() local
307 const int in_y_origin = (out_y * stride) - filter_top_offset; in operator ()()
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| D | conv_ops_fused_image_transform.cc | 432 for (int out_y = 0; out_y < output_height; ++out_y) { in operator ()() local
433 const int in_y_origin = (out_y * stride_rows) - filter_top_offset; in operator ()()
544 (out_y * output_width) + out_x; in operator ()()
575 (out_y == (output_height - 1)) && (out_x == (output_width - 1))); in operator ()()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
| D | pooling.h | 79 for (int out_y = 0; out_y < output_height; ++out_y) { in MaxPool() local
84 (out_y * stride_height) - params.padding_values.height; in MaxPool()
126 int8* output_ptr = output_data + Offset(output_shape, batch, out_y, in MaxPool()
190 for (int out_y = 0; out_y < output_height; ++out_y) { in AveragePool16() local
195 (out_y * stride_height) - params.padding_values.height; in AveragePool16()
243 int8* output_ptr = output_data + Offset(output_shape, batch, out_y, in AveragePool16()
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| D | depthwise_conv_hybrid_3x3_filter.h | 2987 for (int32 out_y = out_y_start_corner + 1; out_y < out_y_end_corner;
2988 out_y++) {
3004 for (int32 out_y = out_y_start_corner + 1; out_y < out_y_end_corner;
3005 out_y++) {
3152 int32 out_y = row_start;
3163 out_y = std::max(1, out_y);
3170 const int in_y = (out_y * stride_height) - pad_height;
3176 output_ptr += out_y * params.output_row_size + out_x * params.output_depth;
3191 for (; out_y <= end_y - 8; out_y += 8) {
3203 for (; out_y <= end_y - 4; out_y += 4) {
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| D | depthwise_conv_3x3_filter.h | 2819 for (int32 out_y = out_y_start_corner + 1; out_y < out_y_end_corner;
2820 out_y++) {
2837 for (int32 out_y = out_y_start_corner + 1; out_y < out_y_end_corner;
2838 out_y++) {
2994 int32 out_y = row_start;
3006 out_y = std::max(1, out_y);
3013 const int in_y = (out_y * stride_height) - pad_height;
3019 output_ptr += out_y * params.output_row_size + out_x * params.output_depth;
3034 for (; out_y <= end_y - 8; out_y += 8) {
3045 for (; out_y <= end_y - 4; out_y += 4) {
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| D | depthwise_conv_hybrid.h | 173 for (int out_y = row_start; out_y < row_end; ++out_y) { in DepthwiseConvHybridGeneral() local
174 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvHybridGeneral()
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| /external/freetype/src/autofit/ |
| D | afhints.c | 886 FT_Pos out_x, out_y; in af_glyph_hints_reload() local
913 out_y = point->fy - prev->fy; in af_glyph_hints_reload()
915 if ( FT_ABS( out_x ) + FT_ABS( out_y ) < near_limit ) in af_glyph_hints_reload()
981 FT_Pos out_x, out_y; in af_glyph_hints_reload() local
994 out_y = point->fy - prev->fy; in af_glyph_hints_reload()
1004 if ( FT_ABS( out_x ) + FT_ABS( out_y ) >= near_limit2 ) in af_glyph_hints_reload()
1031 out_y = 0; in af_glyph_hints_reload()
1043 out_y += next->fy - point->fy; in af_glyph_hints_reload()
1045 if ( FT_ABS( out_x ) + FT_ABS( out_y ) < near_limit ) in af_glyph_hints_reload()
1054 out_dir = af_direction_compute( out_x, out_y ); in af_glyph_hints_reload()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | im2col_utils.h | 156 for (int out_y = 0; out_y < output_height; ++out_y) { in DilatedIm2col() local
160 int row_offset = Offset(row_shape, 0, batch, out_y, out_x); in DilatedIm2col()
162 const int in_y_origin = (out_y * stride_height) - pad_height; in DilatedIm2col()
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| /external/tensorflow/tensorflow/lite/micro/kernels/xtensa-hifimini/ |
| D | depthwise_conv.cc | 78 for (int out_y = 0; out_y < output_height; ++out_y) { in DepthwiseConvPerChannel() local
79 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvPerChannel()
162 ((batch * output_height + out_y) * output_width + out_x) * in DepthwiseConvPerChannel()
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| D | conv.cc | 75 for (int out_y = 0; out_y < output_height; ++out_y) { in ConvPerChannel() local
76 const int in_y_origin = (out_y * stride_height) - pad_height; in ConvPerChannel()
163 ((batch * output_height + out_y) * output_width + out_x) * in ConvPerChannel()
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| /external/freetype/src/base/ |
| D | ftcalc.c | 984 FT_Pos out_y ) in ft_corner_orientation() argument
991 FT_Int64 delta = SUB_INT64( MUL_INT64( in_x, out_y ), in ft_corner_orientation()
1002 if ( ADD_LONG( FT_ABS( in_x ), FT_ABS( out_y ) ) <= 131071L && in ft_corner_orientation()
1005 FT_Long z1 = MUL_LONG( in_x, out_y ); in ft_corner_orientation()
1022 ft_multo64( (FT_UInt32)in_x, (FT_UInt32)out_y, &z1 ); in ft_corner_orientation()
1050 FT_Pos out_y ) in ft_corner_is_flat() argument
1053 FT_Pos ay = in_y + out_y; in ft_corner_is_flat()
1078 d_out = FT_HYPOT( out_x, out_y ); in ft_corner_is_flat()
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | depthwiseconv_per_channel_quantized_test.cc | 68 for (int out_y = 0; out_y < output_height; ++out_y) { in PickOutputMultiplier() local
74 const int in_y_origin = (out_y * stride_height) - pad_height; in PickOutputMultiplier()
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| /external/u-boot/arch/arm/include/asm/arch-tegra20/ |
| D | display.h | 23 unsigned out_y; /* Top edge of output window (row) */ member
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| /external/tensorflow/tensorflow/lite/micro/kernels/portable_optimized/ |
| D | depthwise_conv.cc | 182 for (int out_y = 0; out_y < output_height; ++out_y) { in DepthwiseConvOptimizedForFilterWidthEight() local
188 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvOptimizedForFilterWidthEight()
289 output_data[Offset(output_shape, b, out_y, out_x, oc)] = in DepthwiseConvOptimizedForFilterWidthEight()
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| /external/pdfium/core/fxcodec/jbig2/ |
| D | JBig2_HtrdProc.cpp | 131 int32_t out_y = (HGY + y * HRX - x * HRY) >> 8; in DecodeImage() local
132 (*HPATS)[pat_index]->ComposeTo(HTREG.get(), out_x, out_y, HCOMBOP); in DecodeImage()
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