| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | legacy_reference_ops.h | 47 int pad_width, int pad_height, int depth_multiplier, in DepthwiseConv() argument
54 op_params.padding_values.width = pad_width; in DepthwiseConv()
72 int stride_width, int stride_height, int pad_width, in DepthwiseConv() argument
78 bias_dims, stride_width, stride_height, 1, 1, pad_width, in DepthwiseConv()
88 int stride_width, int stride_height, int pad_width, in DepthwiseConv() argument
94 bias_dims, stride_width, stride_height, pad_width, pad_height, in DepthwiseConv()
104 int pad_width, int pad_height, int depth_multiplier, in DepthwiseConv() argument
107 bias_dims, stride, stride, pad_width, pad_height, in DepthwiseConv()
117 int pad_width, int pad_height, int depth_multiplier, in DepthwiseConv() argument
125 op_params.padding_values.width = pad_width; in DepthwiseConv()
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| D | conv.h | 35 const int pad_width = params.padding_values.width; in Conv() local
61 const int in_x_origin = (out_x * stride_width) - pad_width; in Conv()
114 const int pad_width = params.padding_values.width; in Conv() local
144 const int in_x_origin = (out_x * stride_width) - pad_width; in Conv()
201 const int pad_width = params.padding_values.width; in HybridConvPerChannel() local
224 const int in_x_origin = (out_x * stride_width) - pad_width; in HybridConvPerChannel()
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| D | transpose_conv.h | 33 const int pad_width = params.padding_values.width; in TransposeConv() local
72 const int out_x_origin = (in_x * stride_width) - pad_width; in TransposeConv()
123 const int pad_width = params.padding_values.width; in TransposeConv() local
163 const int out_x_origin = (in_x * stride_width) - pad_width; in TransposeConv()
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| D | depthwiseconv_uint8.h | 102 const int pad_width = params.padding_values.width; in Run() local
135 const int in_x_origin = (out_x * stride_width) - pad_width; in Run()
188 const int pad_width = params.padding_values.width; in RunPerChannel() local
222 const int in_x_origin = (out_x * stride_width) - pad_width; in RunPerChannel()
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| D | depthwiseconv_float.h | 35 const int pad_width = params.padding_values.width; in DepthwiseConv() local
62 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConv()
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| D | conv3d.h | 50 const int pad_width = params.padding_values.width; in Conv3D() local
60 const int in_x_origin = (out_x * params.stride_width) - pad_width; in Conv3D()
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| /external/tensorflow/tensorflow/core/kernels/neon/ |
| D | depthwiseconv_float.h | 427 const float* input_data, int pad_width,
457 out_x_loop_start_unclamped = (pad_width - filter_x + 1) / 2;
458 out_x_loop_end_unclamped = (pad_width + input_width - filter_x + 1) / 2;
460 out_x_loop_start_unclamped = (pad_width - filter_x + 3) / 4;
461 out_x_loop_end_unclamped = (pad_width + input_width - filter_x + 3) / 4;
464 (pad_width - filter_x + stride - 1) / stride;
466 (pad_width + input_width - filter_x + stride - 1) / stride;
469 out_x_loop_start_unclamped = pad_width - filter_x;
470 out_x_loop_end_unclamped = pad_width + input_width - filter_x;
481 const int in_x_origin = (out_x_loop_start * stride) - pad_width + filter_x;
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | depthwiseconv_per_channel_quantized_test.cc | 50 const int pad_width = params.padding_values.width; in PickOutputMultiplier() local
73 const int in_x_origin = (out_x * stride_width) - pad_width; in PickOutputMultiplier()
193 RuntimeShape* output_shape_inference, int* pad_width, int* pad_height, in GenerateValidShapeConfigurations() argument
214 output_shape_inference, pad_width, pad_height)); in GenerateValidShapeConfigurations()
221 dilation_width_factor, dilation_height_factor, *pad_width, *pad_height, in GenerateValidShapeConfigurations()
242 int pad_width, pad_height; in TryTestOneDepthwiseConv3x3Filter() local
253 &output_shape_inference, &pad_width, &pad_height, &stride); in TryTestOneDepthwiseConv3x3Filter()
275 params.padding_values.width = pad_width; in TryTestOneDepthwiseConv3x3Filter()
305 dilation_width_factor, dilation_height_factor, pad_width, pad_height, in TryTestOneDepthwiseConv3x3Filter()
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| D | depthwiseconv_per_channel_quantized_16x8_test.cc | 49 const int pad_width = params.padding_values.width; in PickOutputMultiplier() local
71 const int in_x_origin = (out_x * stride_width) - pad_width; in PickOutputMultiplier()
145 RuntimeShape* output_shape_inference, int* pad_width, int* pad_height, in GenerateValidShapeConfigurations() argument
166 output_shape_inference, pad_width, pad_height)); in GenerateValidShapeConfigurations()
197 int pad_width, pad_height; in TryTestOneDepthwiseConv3x3Filter() local
208 &output_shape_inference, &pad_width, &pad_height, &stride); in TryTestOneDepthwiseConv3x3Filter()
232 params.padding_values.width = pad_width; in TryTestOneDepthwiseConv3x3Filter()
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| D | conv_per_channel_quantized_16x8_test.cc | 49 const int pad_width = params.padding_values.width; in PickOutputMultiplier() local
70 const int in_x_origin = (out_x * stride_width) - pad_width; in PickOutputMultiplier()
146 int* pad_width, int* pad_height, int* stride) { in GenerateValidShapeConfigurations() argument
166 output_shape_inference, pad_width, pad_height)); in GenerateValidShapeConfigurations()
198 int pad_width, pad_height; in TryTestOneConvFilter() local
208 &filter_shape_inference, &output_shape_inference, &pad_width, in TryTestOneConvFilter()
239 params.padding_values.width = pad_width; in TryTestOneConvFilter()
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| D | depthwiseconv_float_test.cc | 106 int pad_width, pad_height; in TryTestOneDepthwiseConv() local
112 &output_shape_inference, &pad_width, &pad_height)) { in TryTestOneDepthwiseConv()
132 op_params.padding_values.width = pad_width; in TryTestOneDepthwiseConv()
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| D | depthwiseconv_quantized_test.cc | 174 const int pad_width = params.padding_values.width; in DispatchDepthwiseConvImpl() local
185 dilation_width_factor, dilation_height_factor, pad_width, in DispatchDepthwiseConvImpl()
380 const int pad_width = params.padding_values.width; in DispatchDepthwiseConvImpl() local
391 dilation_width_factor, dilation_height_factor, pad_width, in DispatchDepthwiseConvImpl()
619 PaddingType padding_type, int pad_width, int pad_height, in TestOneDepthwiseConvWithGivenOutputShift() argument
633 op_params.padding_values.width = pad_width; in TestOneDepthwiseConvWithGivenOutputShift()
756 PaddingType padding_type, int pad_width, int pad_height, in TestOneDepthwiseConvBisectOutputShift() argument
771 padding_type, pad_width, pad_height, depth_multiplier, output_offset, in TestOneDepthwiseConvBisectOutputShift()
799 pad_width, pad_height, depth_multiplier, output_offset, output_multiplier, in TestOneDepthwiseConvBisectOutputShift()
815 PaddingType padding_type, int pad_width, int pad_height, in TestOneDepthwiseConv() argument
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| D | test_util.cc | 27 int* pad_width, int* pad_height) { in ComputeConvSizes() argument
59 *pad_width = std::max( in ComputeConvSizes()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | string_ngrams_op.cc | 51 int pad_width = get_pad_width(ngram_width); in get_num_ngrams() local
52 return std::max(0, ((length + 2 * pad_width) - ngram_width) + 1); in get_num_ngrams()
148 int pad_width = get_pad_width(ngram_width); in CreateNgrams() local
149 int left_padding = std::max(0, pad_width - ngram_index); in CreateNgrams()
151 std::max(0, pad_width - (num_ngrams - (ngram_index + 1))); in CreateNgrams()
153 int data_start_index = left_padding > 0 ? 0 : ngram_index - pad_width; in CreateNgrams()
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| D | depthwise_conv_op_gpu.h | 102 const int pad_width = args.pad_cols;
120 const int input_col_start = out_col * stride - pad_width;
210 const int pad_width = args.pad_cols;
229 const int pad_offset = pad_height * tile_width + pad_width;
349 const int pad_width = args.pad_cols;
407 const int input_col_start = out_col * stride - pad_width;
501 const int pad_width = args.pad_cols;
521 const int pad_offset = pad_height * tile_width + pad_width;
822 const int pad_width = args.pad_cols;
841 tf_max(0, (in_col - filter_width + pad_width + stride) / stride);
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | im2col_utils.h | 30 int pad_width, int pad_height, in ExtractPatchIntoBufferColumn() argument
44 const int iw_ungated_start = w * stride_width - pad_width; in ExtractPatchIntoBufferColumn()
126 const int pad_width = params.padding_values.width; in DilatedIm2col() local
166 const int in_x_origin = (out_x * stride_width) - pad_width; in DilatedIm2col()
219 const int pad_width = params.padding_values.width; in Im2col() local
239 pad_width, pad_height, input_width, input_height, input_depth, in Im2col()
255 const int pad_width = params.padding_values.width; in Im2col() local
277 pad_width, pad_height, input_width, input_height, input_depth, in Im2col()
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| D | depthwiseconv_float.h | 766 const float* input_data, int pad_width,
795 (pad_width - dilation_factor * filter_x + 1) / 2;
797 (pad_width + input_width - dilation_factor * filter_x + 1) / 2;
800 (pad_width - dilation_factor * filter_x + 3) / 4;
802 (pad_width + input_width - dilation_factor * filter_x + 3) / 4;
805 (pad_width - dilation_factor * filter_x + stride - 1) / stride;
806 out_x_loop_end_unclamped = (pad_width + input_width -
811 out_x_loop_start_unclamped = pad_width - dilation_factor * filter_x;
813 pad_width + input_width - dilation_factor * filter_x;
825 (out_x_loop_start * stride) - pad_width + dilation_factor * filter_x;
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| D | multithreaded_conv.h | 91 int stride_cols, int pad_width, int pad_height, in operator()
109 pad_width == 0 && pad_height == 0) { in operator()
152 const int pad_width = params.padding_values.width; in Conv() local
172 output_depth, stride_height, stride_width, pad_height, pad_width, in Conv()
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| D | legacy_optimized_ops.h | 143 int pad_width, int pad_height, int depth_multiplier, in DepthwiseConv() argument
150 op_params.padding_values.width = pad_width; in DepthwiseConv()
173 int stride_width, int stride_height, int pad_width, in DepthwiseConv() argument
179 bias_dims, stride_width, stride_height, 1, 1, pad_width, in DepthwiseConv()
189 int stride_width, int stride_height, int pad_width, in DepthwiseConv() argument
195 bias_dims, stride_width, stride_height, pad_width, pad_height, in DepthwiseConv()
205 int pad_width, int pad_height, int depth_multiplier, in DepthwiseConv() argument
208 bias_dims, stride, stride, pad_width, pad_height, in DepthwiseConv()
241 const int pad_width = params.padding_values.width; in LegacyDepthwiseConvWithRounding() local
249 dilation_width_factor, dilation_height_factor, pad_width, pad_height, in LegacyDepthwiseConvWithRounding()
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| D | depthwiseconv_3x3_filter_common.h | 442 int32 dilation_height_factor, int32 pad_width, int32 pad_height,
457 (stride_width == stride_height) && (pad_width == 0 || pad_width == 1) &&
458 (pad_height == 0 || pad_height == 1) && (pad_width == pad_height) &&
472 const int32 in_x_origin = (out_x * stride_width) - pad_width;
480 if (pad_width == 0 && pad_height == 0) {
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_StringNGrams.pbtxt | 44 pad_width != 0.
51 pad_width != 0.
55 name: "pad_width"
59 regardless of this value. If `pad_width=-1`, then add `max(ngram_widths)-1`
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | depthwise_conv.h | 35 const int pad_width = params.padding_values.width; in DepthwiseConvPerChannel() local
67 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvPerChannel()
134 const int pad_width = params.padding_values.width; in DepthwiseConvPerChannel() local
164 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvPerChannel()
219 const int pad_width = params.padding_values.width; in DepthwiseConvHybridPerChannel() local
248 const int in_x_origin = (out_x * stride_width) - pad_width; in DepthwiseConvHybridPerChannel()
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| D | conv.h | 37 const int pad_width = params.padding_values.width; in ConvPerChannel() local
68 const int in_x_origin = (out_x * stride_width) - pad_width; in ConvPerChannel()
141 const int pad_width = params.padding_values.width; in ConvPerChannel() local
171 const int in_x_origin = (out_x * stride_width) - pad_width; in ConvPerChannel()
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| D | transpose_conv.h | 34 const int pad_width = params.padding_values.width; in TransposeConv() local
71 const int out_x_origin = (in_x * stride_width) - pad_width; in TransposeConv()
133 const int pad_width = params.padding_values.width; in TransposeConv() local
168 const int out_x_origin = (in_x * stride_width) - pad_width; in TransposeConv()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
| D | depthwise_conv.h | 1427 int pad_width, int depth_multiplier,
1456 (pad_width - dilation_factor * filter_x + 1) / 2;
1458 (pad_width + input_width - dilation_factor * filter_x + 1) / 2;
1461 (pad_width - dilation_factor * filter_x + 3) / 4;
1463 (pad_width + input_width - dilation_factor * filter_x + 3) / 4;
1466 (pad_width - dilation_factor * filter_x + stride - 1) / stride;
1467 out_x_loop_end_unclamped = (pad_width + input_width -
1472 out_x_loop_start_unclamped = pad_width - dilation_factor * filter_x;
1474 pad_width + input_width - dilation_factor * filter_x;
1486 (out_x_loop_start * stride) - pad_width + dilation_factor * filter_x;
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