| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | pooling.h | 45 const int in_y_origin = in AveragePool() local
52 const int filter_y_start = std::max(0, -in_y_origin); in AveragePool()
54 std::min(params.filter_height, input_height - in_y_origin); in AveragePool()
62 const int in_y = in_y_origin + filter_y; in AveragePool()
106 const int in_y_origin = in MaxPool() local
113 const int filter_y_start = std::max(0, -in_y_origin); in MaxPool()
115 std::min(params.filter_height, input_height - in_y_origin); in MaxPool()
122 const int in_y = in_y_origin + filter_y; in MaxPool()
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| D | conv.h | 69 const int in_y_origin = (out_y * stride_height) - pad_height; in ConvPerChannel() local
76 in_y_origin + dilation_height_factor * filter_y; in ConvPerChannel()
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| D | depthwise_conv.h | 69 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvPerChannel() local
75 in_y_origin + dilation_height_factor * filter_y; in DepthwiseConvPerChannel()
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| /external/tensorflow/tensorflow/lite/experimental/micro/kernels/portable_optimized/ |
| D | depthwise_conv.cc | 171 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvOptimizedForFilterWidthEight() local
173 int in_y_start = in_y_origin; in DepthwiseConvOptimizedForFilterWidthEight()
175 if (in_y_origin < 0) { in DepthwiseConvOptimizedForFilterWidthEight()
177 filter_y_start = 0 - in_y_origin; in DepthwiseConvOptimizedForFilterWidthEight()
180 if ((in_y_origin + filter_height) >= input_height) { in DepthwiseConvOptimizedForFilterWidthEight()
181 filter_y_end -= (in_y_origin + filter_height) - input_height; in DepthwiseConvOptimizedForFilterWidthEight()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | depthwiseconv_float.h | 63 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConv() local
69 in_y_origin + dilation_height_factor * filter_y; in DepthwiseConv()
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| D | depthwiseconv_uint8.h | 137 const int in_y_origin = (out_y * stride_height) - pad_height; in Run() local
144 in_y_origin + dilation_height_factor * filter_y; in Run()
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| D | reference_ops.h | 170 const int in_y_origin = (out_y * stride_height) - pad_height; in Conv() local
177 in_y_origin + dilation_height_factor * filter_y; in Conv()
250 const int in_y_origin = (out_y * stride_height) - pad_height; in Conv() local
257 in_y_origin + dilation_height_factor * filter_y; in Conv()
2293 const int in_y_origin = in AveragePool() local
2300 const int filter_y_start = std::max(0, -in_y_origin); in AveragePool()
2302 std::min(params.filter_height, input_height - in_y_origin); in AveragePool()
2310 const int in_y = in_y_origin + filter_y; in AveragePool()
2348 const int in_y_origin = in AveragePool() local
2355 const int filter_y_start = std::max(0, -in_y_origin); in AveragePool()
[all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | conv_ops_using_gemm.cc | 153 const int in_y_origin = (out_y * stride_rows) - filter_top_offset; in operator ()() local
160 const int in_y = in_y_origin + filter_y; in operator ()()
339 const int in_y_origin = (out_y * stride_rows) - filter_top_offset; in operator ()() local
345 const int in_y = in_y_origin + filter_y; in operator ()()
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| D | quantized_conv_ops.cc | 130 const int in_y_origin = (out_y * stride) - filter_top_offset; in operator ()() local
137 const int in_y = in_y_origin + filter_y; in operator ()()
307 const int in_y_origin = (out_y * stride) - filter_top_offset; in operator ()() local
313 const int in_y = in_y_origin + filter_y; in operator ()()
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| D | conv_ops_fused_image_transform.cc | 433 const int in_y_origin = (out_y * stride_rows) - filter_top_offset; in operator ()() local
434 const int cache_start_y = std::max(in_y_origin, end_cached_lines); in operator ()()
436 in_y_end, std::max((in_y_origin + task_params.cache_height), in operator ()()
438 if (end_cached_lines < (in_y_origin + filter_height)) { in operator ()()
552 const int conv_in_y = in_y_origin + filter_y; in operator ()()
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| /external/tensorflow/tensorflow/core/kernels/neon/ |
| D | depthwiseconv_float.h | 631 const int in_y_origin = (out_y * stride) - pad_height;
632 const int filter_y_start = std::max(0, -in_y_origin);
634 std::min(filter_height, input_height - in_y_origin);
650 const int in_y = in_y_origin + filter_y;
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | depthwiseconv_float.h | 996 const int in_y_origin = (out_y * stride_height) - pad_height;
998 std::max(0, (-in_y_origin + dilation_height_factor - 1) /
1002 (input_height - in_y_origin + dilation_height_factor - 1) /
1019 const int in_y = in_y_origin + dilation_height_factor * filter_y;
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| D | depthwiseconv_uint8.h | 1772 const int in_y_origin = (out_y * stride_height) - pad_height;
1774 std::max(0, (-in_y_origin + dilation_height_factor - 1) /
1778 (input_height - in_y_origin + dilation_height_factor - 1) /
1795 const int in_y = in_y_origin + dilation_height_factor * filter_y;
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| D | optimized_ops.h | 2110 const int in_y_origin = (out_y * stride_height) - pad_height; in DilatedIm2col() local
2113 const int in_y = in_y_origin + dilation_height_factor * filter_y; in DilatedIm2col()
4065 const int in_y_origin = in AveragePool() local
4070 const int filter_y_start = std::max(0, -in_y_origin); in AveragePool()
4072 std::min(params.filter_height, input_height - in_y_origin); in AveragePool()
4079 input_width * (in_y_origin + input_height * batch)); in AveragePool()
4249 const int in_y_origin = in MaxPool() local
4254 const int filter_y_start = std::max(0, -in_y_origin); in MaxPool()
4256 std::min(params.filter_height, input_height - in_y_origin); in MaxPool()
4261 input_width * (in_y_origin + input_height * batch)); in MaxPool()
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| D | depthwiseconv_uint8_3x3_filter.h | 3506 const int32 in_y_origin = (out_y * stride_height) - pad_height;
3509 const int32 in_y_end = in_y_origin + filter_height;
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| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
| D | optimized_ops.h | 1987 const int in_y_origin = (out_y * stride_height) - pad_height; in DilatedIm2col() local
1990 const int in_y = in_y_origin + dilation_height_factor * filter_y; in DilatedIm2col()
4195 const int in_y_origin = in AveragePool() local
4200 const int filter_y_start = std::max(0, -in_y_origin); in AveragePool()
4202 std::min(params.filter_height, input_height - in_y_origin); in AveragePool()
4213 input_width * (in_y_origin + input_height * batch)); in AveragePool()
4363 const int in_y_origin = in MaxPool() local
4368 const int filter_y_start = std::max(0, -in_y_origin); in MaxPool()
4370 std::min(params.filter_height, input_height - in_y_origin); in MaxPool()
4379 input_width * (in_y_origin + input_height * batch)); in MaxPool()
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