| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | pooling.h | 42 for (int out_x = 0; out_x < output_width; ++out_x) { in AveragePool() local
45 (out_x * stride_width) - params.padding_values.width; in AveragePool()
70 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
98 for (int out_x = 0; out_x < output_width; ++out_x) { in AveragePool() local
101 (out_x * stride_width) - params.padding_values.width; in AveragePool()
128 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
151 for (int out_x = 0; out_x < output_width; ++out_x) { in L2Pool() local
154 (out_x * stride_width) - params.padding_values.width; in L2Pool()
180 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in L2Pool()
205 for (int out_x = 0; out_x < output_width; ++out_x) { in MaxPool() local
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| D | transpose_conv.h | 79 const int out_x = out_x_origin + filter_x; in TransposeConv() local
82 if ((out_x >= 0) && (out_x < output_width) && (out_y >= 0) && in TransposeConv()
89 output_data[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
103 for (int out_x = 0; out_x < output_width; ++out_x) { in TransposeConv() local
105 output_data[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
170 const int out_x = out_x_origin + filter_x; in TransposeConv() local
173 if ((out_x >= 0) && (out_x < output_width) && (out_y >= 0) && in TransposeConv()
180 scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
194 for (int out_x = 0; out_x < output_width; ++out_x) { in TransposeConv() local
196 int32_t acc = scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
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| D | conv.h | 60 for (int out_x = 0; out_x < output_width; ++out_x) { in Conv() local
61 const int in_x_origin = (out_x * stride_width) - pad_width; in Conv()
91 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in Conv()
143 for (int out_x = 0; out_x < output_width; ++out_x) { in Conv() local
144 const int in_x_origin = (out_x * stride_width) - pad_width; in Conv()
179 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in Conv()
222 for (int out_x = 0; out_x < output_width; ++out_x) { in HybridConvPerChannel() local
224 const int in_x_origin = (out_x * stride_width) - pad_width; in HybridConvPerChannel()
252 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_x = 0; out_x < output_width; ++out_x) { in Run() local
135 const int in_x_origin = (out_x * stride_width) - pad_width; in Run()
165 output_data[Offset(output_shape, b, out_y, out_x, oc)] = in Run()
218 for (int out_x = 0; out_x < output_width; ++out_x) { in RunPerChannel() local
222 const int in_x_origin = (out_x * stride_width) - pad_width; in RunPerChannel()
268 output_data[Offset(output_shape, batch, out_y, out_x, in RunPerChannel()
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| D | depthwiseconv_float.h | 58 for (int out_x = 0; out_x < output_width; ++out_x) { in DepthwiseConv() local
62 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConv()
86 output_data[Offset(output_shape, b, out_y, out_x, oc)] = in DepthwiseConv()
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| D | conv3d.h | 59 for (int out_x = 0; out_x < output_width; ++out_x) { in Conv3D() local
60 const int in_x_origin = (out_x * params.stride_width) - pad_width; in Conv3D()
99 output_data[Offset(output_shape, batch, out_d, out_y, out_x, in Conv3D()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | transpose_conv.h | 78 const int out_x = out_x_origin + filter_x; in TransposeConv() local
81 if ((out_x >= 0) && (out_x < output_width) && (out_y >= 0) && in TransposeConv()
88 scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
102 for (int out_x = 0; out_x < output_width; ++out_x) { in TransposeConv() local
104 int32_t acc = scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
114 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in TransposeConv()
175 const int out_x = out_x_origin + filter_x; in TransposeConv() local
178 if ((out_x >= 0) && (out_x < output_width) && (out_y >= 0) && in TransposeConv()
185 scratch_buffer[Offset(output_shape, batch, out_y, out_x, in TransposeConv()
199 for (int out_x = 0; out_x < output_width; ++out_x) { in TransposeConv() local
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| D | pooling.h | 42 for (int out_x = 0; out_x < output_width; ++out_x) { in AveragePool() local
45 (out_x * stride_width) - params.padding_values.width; in AveragePool()
74 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
103 for (int out_x = 0; out_x < output_width; ++out_x) { in MaxPool() local
106 (out_x * stride_width) - params.padding_values.width; in MaxPool()
131 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in MaxPool()
158 for (int out_x = 0; out_x < output_width; ++out_x) { in AveragePool() local
161 (out_x * stride_width) - params.padding_values.width; in AveragePool()
190 output_data[Offset(output_shape, batch, out_y, out_x, channel)] = in AveragePool()
219 for (int out_x = 0; out_x < output_width; ++out_x) { in MaxPool() local
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| D | depthwise_conv.h | 63 for (int out_x = 0; out_x < output_width; ++out_x) { in DepthwiseConvPerChannel() local
67 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvPerChannel()
113 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConvPerChannel()
160 for (int out_x = 0; out_x < output_width; ++out_x) { in DepthwiseConvPerChannel() local
164 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvPerChannel()
198 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConvPerChannel()
244 for (int out_x = 0; out_x < output_width; ++out_x) { in DepthwiseConvHybridPerChannel() local
248 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvHybridPerChannel()
275 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConvHybridPerChannel()
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| D | conv.h | 67 for (int out_x = 0; out_x < output_width; ++out_x) { in ConvPerChannel() local
68 const int in_x_origin = (out_x * stride_width) - pad_width; in ConvPerChannel()
119 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in ConvPerChannel()
170 for (int out_x = 0; out_x < output_width; ++out_x) { in ConvPerChannel() local
171 const int in_x_origin = (out_x * stride_width) - pad_width; in ConvPerChannel()
210 output_data[Offset(output_shape, batch, out_y, out_x, out_channel)] = in ConvPerChannel()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
| D | pooling.h | 72 for (int out_x = 0; out_x < output_width; ++out_x) { in MaxPool() local
74 (out_x * stride_width) - params.padding_values.width; in MaxPool()
119 out_x, depth_base); in MaxPool()
182 for (int out_x = 0; out_x < output_width; ++out_x) { in AveragePool() local
184 (out_x * stride_width) - params.padding_values.width; in AveragePool()
241 out_x, depth_base); in AveragePool()
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| D | depthwise_conv_hybrid_3x3_filter.h | 2842 int32 out_x = start_x;
2851 for (; out_x <= (end_x - shuffle_params.output_width);
2852 out_x += shuffle_params.output_width) {
2915 const int32 output_leftover_width = end_x - out_x;
2967 for (int32 out_x = out_x_start_corner + 1; out_x < out_x_end_corner;
2968 out_x++) {
3029 for (int32 out_x = out_x_start_corner + 1; out_x < out_x_end_corner;
3030 out_x++) {
3151 int32 out_x = 0;
3161 out_x = 1;
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| D | depthwise_conv_3x3_filter.h | 2675 int32 out_x = start_x;
2683 for (; out_x <= (end_x - shuffle_params.output_width);
2684 out_x += shuffle_params.output_width) {
2747 const int32 output_leftover_width = end_x - out_x;
2799 for (int32 out_x = out_x_start_corner + 1; out_x < out_x_end_corner;
2800 out_x++) {
2862 for (int32 out_x = out_x_start_corner + 1; out_x < out_x_end_corner;
2863 out_x++) {
2993 int32 out_x = 0;
3004 out_x = 1;
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| /external/tensorflow/tensorflow/core/kernels/image/ |
| D | resize_nearest_neighbor_op_gpu.cu.cc | 44 int out_x = n % out_width; in ResizeNearestNeighborNHWC() local
57 floorf((static_cast<float>(out_x) + 0.5f) * width_scale)), in ResizeNearestNeighborNHWC()
75 int out_x = n % out_width; in LegacyResizeNearestNeighborNHWC() local
86 min((align_corners) ? static_cast<int>(roundf(out_x * width_scale)) in LegacyResizeNearestNeighborNHWC()
87 : static_cast<int>(floorf(out_x * width_scale)), in LegacyResizeNearestNeighborNHWC()
115 const int out_x = in ResizeNearestNeighborBackwardNHWC() local
120 const int idx = (out_y * out_width + out_x) * channels + c; in ResizeNearestNeighborBackwardNHWC()
145 const int out_x = in LegacyResizeNearestNeighborBackwardNHWC() local
149 const int idx = (out_y * out_width + out_x) * channels + c; in LegacyResizeNearestNeighborBackwardNHWC()
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| /external/tensorflow/tensorflow/lite/micro/kernels/vexriscv/ |
| D | depthwise_conv.cc | 76 for (int out_x = 0; out_x < output_width; ++out_x) { in DepthwiseConvPerChannel() local
78 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvPerChannel()
150 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConvPerChannel()
199 for (int out_x = 0; out_x < output_width; ++out_x) { in DepthwiseConv() local
201 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConv()
257 output_data[Offset(output_shape, batch, out_y, out_x, in DepthwiseConv()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | conv_ops_using_gemm.cc | 132 for (int out_x = 0; out_x < output_width; ++out_x) { in operator ()() local
154 const int in_x_origin = (out_x * stride_cols) - filter_left_offset; in operator ()()
187 (out_x * filter_count) + out_channel] = total; in operator ()()
338 const int64 out_x = patch_index % output_width; in operator ()() local
342 const int in_x_origin = (out_x * stride_cols) - filter_left_offset; in operator ()()
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| D | quantized_conv_ops.cc | 107 for (int out_x = 0; out_x < output_width; ++out_x) { in operator ()() local
129 const int in_x_origin = (out_x * stride) - filter_left_offset; in operator ()()
178 (out_x * filter_count) + out_channel] = clamped_output; in operator ()()
304 const int64 out_x = patch_index % output_width; in operator ()() local
308 const int in_x_origin = (out_x * stride) - filter_left_offset; in operator ()()
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| /external/tensorflow/tensorflow/lite/kernels/perception/ |
| D | max_pool_with_argmax.cc | 49 for (int32_t out_x = 0; out_x < output_width; ++out_x) { in MaxPool() local
52 (out_x * stride_width) - params.padding_values.width; in MaxPool()
83 Offset(output_shape, batch, out_y, out_x, channel); in MaxPool()
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| /external/freetype/src/autofit/ |
| D | afhints.c | 886 FT_Pos out_x, out_y; in af_glyph_hints_reload() local
912 out_x = point->fx - prev->fx; 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
993 out_x = point->fx - prev->fx; in af_glyph_hints_reload()
1004 if ( FT_ABS( out_x ) + FT_ABS( out_y ) >= near_limit2 ) in af_glyph_hints_reload()
1030 out_x = 0; in af_glyph_hints_reload()
1042 out_x += next->fx - point->fx; 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/micro/kernels/xtensa/ |
| D | conv.cc | 74 for (int out_x = 0; out_x < output_width; ++out_x) { in ConvPerChannel() local
75 const int in_x_origin = (out_x * stride_width) - pad_width; in ConvPerChannel()
157 ((batch * output_height + out_y) * output_width + out_x) * in ConvPerChannel()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | im2col_utils.h | 162 for (int out_x = 0; out_x < output_width; ++out_x) { in DilatedIm2col() local
165 int row_offset = Offset(row_shape, 0, batch, out_y, out_x); in DilatedIm2col()
166 const int in_x_origin = (out_x * stride_width) - pad_width; in DilatedIm2col()
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| /external/freetype/src/base/ |
| D | ftcalc.c | 982 FT_Pos out_x, in ft_corner_orientation() argument
991 MUL_INT64( in_y, out_x ) ); in ft_corner_orientation()
1002 ADD_LONG( FT_ABS( in_y ), FT_ABS( out_x ) ) <= 131071L ) in ft_corner_orientation()
1005 FT_Long z2 = MUL_LONG( in_y, out_x ); in ft_corner_orientation()
1022 ft_multo64( (FT_UInt32)in_y, (FT_UInt32)out_x, &z2 ); in ft_corner_orientation()
1048 FT_Pos out_x, in ft_corner_is_flat() argument
1051 FT_Pos ax = in_x + out_x; in ft_corner_is_flat()
1077 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_16x8_test.cc | 67 for (int out_x = 0; out_x < output_width; ++out_x) { in PickOutputMultiplier() local
71 const int in_x_origin = (out_x * stride_width) - pad_width; in PickOutputMultiplier()
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| D | depthwiseconv_per_channel_quantized_test.cc | 69 for (int out_x = 0; out_x < output_width; ++out_x) { in PickOutputMultiplier() local
73 const int in_x_origin = (out_x * stride_width) - pad_width; in PickOutputMultiplier()
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| D | conv_per_channel_quantized_16x8_test.cc | 67 for (int out_x = 0; out_x < output_width; ++out_x) { in PickOutputMultiplier() local
70 const int in_x_origin = (out_x * stride_width) - pad_width; in PickOutputMultiplier()
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