| /external/libaom/libaom/test/ |
| D | cnn_test.cc | 130 weight_offset += layer_config->filter_width * in AssignLayerWeightsBiases()
147 int filter_width = 4; in TEST_F() local
257 filter_width, in TEST_F()
277 filter_width, in TEST_F()
297 filter_width, in TEST_F()
345 int filter_width = 4; in TEST_F() local
379 filter_width, in TEST_F()
705 cnn_config.layer_config[0].filter_width = 4; in TEST_F()
979 cnn_config.layer_config[0].filter_width = 20; in TEST_F()
994 int filter_width = 4; in TEST_F() local
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | averagepool_quantized_test.cc | 72 const int filter_width = UniformRandomInt(1, 10); in CreateDataAndRunAveragePool() local
74 const int input_width = input_width_offset + filter_width; in CreateDataAndRunAveragePool()
78 : (input_width - filter_width + stride_width) / stride_width; in CreateDataAndRunAveragePool()
96 params.filter_width = filter_width; in CreateDataAndRunAveragePool()
107 compute_padding(stride_width, input_width, filter_width, output_width); in CreateDataAndRunAveragePool()
135 const int filter_width = UniformRandomInt(1, 28); in CreateExtremalDataAndRunAveragePool() local
137 if (filter_width * filter_height > 64) { in CreateExtremalDataAndRunAveragePool()
140 const int input_width = input_width_offset + filter_width; in CreateExtremalDataAndRunAveragePool()
144 : (input_width - filter_width + stride_width) / stride_width; in CreateExtremalDataAndRunAveragePool()
159 params.filter_width = filter_width; in CreateExtremalDataAndRunAveragePool()
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| D | maxpool_quantized_test.cc | 66 const int filter_width = UniformRandomInt(1, 10); in CreateDataAndRunMaxPool() local
68 const int input_width = input_width_offset + filter_width; in CreateDataAndRunMaxPool()
72 : (input_width - filter_width + stride_width) / stride_width; in CreateDataAndRunMaxPool()
90 params.filter_width = filter_width; in CreateDataAndRunMaxPool()
101 compute_padding(stride_width, input_width, filter_width, output_width); in CreateDataAndRunMaxPool()
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| D | conv_per_channel_quantized_16x8_test.cc | 57 const int filter_width = filter_shape.Dims(2); in PickOutputMultiplier() local
74 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in PickOutputMultiplier()
143 int filter_width, int filter_height, int dilation_width_factor, in GenerateValidShapeConfigurations() argument
161 {output_depth, filter_height, filter_width, input_depth}); in GenerateValidShapeConfigurations()
164 *input_shape_inference, output_depth, filter_width, filter_height, in GenerateValidShapeConfigurations()
184 const int filter_width = UniformRandomInt(2, 5); in TryTestOneConvFilter() local
186 std::cout << "Test number " << test_num << " (" << filter_width << "," in TryTestOneConvFilter()
206 filter_width, filter_height, dilation_width_factor, in TryTestOneConvFilter()
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| D | depthwiseconv_float_test.cc | 78 const int filter_width = ExponentialRandomPositiveInt(0.9f, 4, 10); in TryTestOneDepthwiseConv() local
109 if (!ComputeConvSizes(input_shape_inference, output_depth, filter_width, in TryTestOneDepthwiseConv()
116 {1, filter_height, filter_width, output_depth}); in TryTestOneDepthwiseConv()
126 filter_width * filter_height * input_amplitude * filter_amplitude; in TryTestOneDepthwiseConv()
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| D | depthwiseconv_per_channel_quantized_test.cc | 60 const int filter_width = filter_shape.Dims(2); in PickOutputMultiplier() local
77 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in PickOutputMultiplier()
190 int filter_width, int filter_height, int depth_multiplier, in GenerateValidShapeConfigurations() argument
209 {1, filter_height, filter_width, output_depth}); in GenerateValidShapeConfigurations()
212 *input_shape_inference, output_depth, filter_width, filter_height, in GenerateValidShapeConfigurations()
226 const int filter_width = 3; in TryTestOneDepthwiseConv3x3Filter() local
250 filter_width, filter_height, depth_multiplier, in TryTestOneDepthwiseConv3x3Filter()
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| D | depthwiseconv_per_channel_quantized_16x8_test.cc | 58 const int filter_width = filter_shape.Dims(2); in PickOutputMultiplier() local
75 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in PickOutputMultiplier()
142 int filter_width, int filter_height, int depth_multiplier, in GenerateValidShapeConfigurations() argument
161 {1, filter_height, filter_width, output_depth}); in GenerateValidShapeConfigurations()
164 *input_shape_inference, output_depth, filter_width, filter_height, in GenerateValidShapeConfigurations()
184 const int filter_width = 3; in TryTestOneDepthwiseConv3x3Filter() local
205 filter_width, filter_height, depth_multiplier, in TryTestOneDepthwiseConv3x3Filter()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | conv_ops_using_gemm.cc | 93 int filter_width, int filter_count, int stride_rows, in operator ()() argument
114 ((output_width - 1) * stride_cols + filter_width - input_width + 1) / in operator ()()
121 ((output_width - 1) * stride_cols + filter_width - input_width) / 2; in operator ()()
158 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in operator ()()
177 filter_data[(filter_y * filter_width * input_depth * in operator ()()
216 int filter_width, int filter_count, int stride_rows, in operator ()() argument
226 if ((filter_width <= 0) || (filter_height <= 0) || (filter_count <= 0)) { in operator ()()
228 << filter_width << ", " << filter_height << ", " in operator ()()
240 if (filter_height == 1 && filter_width == 1 && stride_rows == 1 && in operator ()()
253 } else if (filter_height == input_height && filter_width == input_width && in operator ()()
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| D | eigen_benchmark_cpu_test.cc | 35 int filter_count, int filter_height, int filter_width) { in SpatialConvolution() argument
44 typename Benchmark::Dimensions filter_dims(filter_height, filter_width, in SpatialConvolution()
52 num_computed_elements * (input_depth * filter_height * filter_width); in SpatialConvolution()
63 int filter_width) { in SpatialConvolutionBackwardInput() argument
72 typename Benchmark::Dimensions filter_dims(filter_height, filter_width, in SpatialConvolutionBackwardInput()
79 num_computed_elements * (input_depth * filter_height * filter_width); in SpatialConvolutionBackwardInput()
90 int filter_width) { in SpatialConvolutionBackwardKernel() argument
99 typename Benchmark::Dimensions filter_dims(filter_height, filter_width, in SpatialConvolutionBackwardKernel()
252 int filter_count, int filter_height, int filter_width, in CuboidConvolution() argument
263 filter_height, filter_width, filter_planes, input_depth, filter_count); in CuboidConvolution()
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| D | quantized_conv_ops.cc | 59 int filter_height, int filter_width, int filter_count, in operator ()() argument
93 ((output_width - 1) * stride + filter_width - input_width + 1) / 2; in operator ()()
98 ((output_width - 1) * stride + filter_width - input_width) / 2; in operator ()()
135 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in operator ()()
158 filter_data[(filter_y * filter_width * input_depth * in operator ()()
205 int filter_height, int filter_width, int filter_count, in operator ()() argument
226 filter_height, filter_width, filter_count, filter_offset, in operator ()()
242 ((output_width - 1) * stride + filter_width - input_width + 1) / 2; in operator ()()
247 ((output_width - 1) * stride + filter_width - input_width) / 2; in operator ()()
263 const int filter_value_count = filter_width * filter_height * input_depth; in operator ()()
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| D | depthwise_conv_op_gpu.h | 96 const int filter_width =
122 const int input_col_end = input_col_start + filter_width;
132 const int filter_offset_temp = filter_width * filter_row;
133 UNROLL for (int filter_col = 0; filter_col < filter_width;
152 const int filter_offset_temp = filter_width * filter_row;
153 UNROLL for (int filter_col = 0; filter_col < filter_width;
207 const int filter_width =
222 const int filter_pixels = filter_height * filter_width;
223 const int tile_width = in_width + filter_width - 1;
301 UNROLL for (int c = 0; c < filter_width; ++c) {
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | padding.h | 65 int filter_width, TfLitePadding padding, int* out_height, int* out_width) { in ComputePaddingHeightWidth() argument
66 *out_width = ComputeOutSize(padding, in_width, filter_width, stride_width, in ComputePaddingHeightWidth()
79 filter_width, *out_width, &offset); in ComputePaddingHeightWidth()
88 int filter_width, int filter_depth, TfLitePadding padding, int* out_height, in ComputePadding3DValues() argument
90 *out_width = ComputeOutSize(padding, in_width, filter_width, stride_width, in ComputePadding3DValues()
109 filter_width, *out_width, &offset); in ComputePadding3DValues()
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| D | pooling.cc | 96 params->filter_height, params->filter_width, padding, &out_height, in GenericPrepare()
131 op_params.filter_width = params->filter_width; \ in AverageEvalFloat()
163 op_params.filter_width = params->filter_width; \ in AverageEvalQuantizedUint8()
196 op_params.filter_width = params->filter_width; \ in AverageEvalQuantizedInt8()
228 op_params.filter_width = params->filter_width; \ in AverageEvalQuantizedInt16()
254 op_params.filter_width = params->filter_width; \ in MaxEvalFloat()
282 op_params.filter_width = params->filter_width; \ in MaxEvalQuantizedUInt8()
311 op_params.filter_width = params->filter_width; \ in MaxEvalQuantizedInt8()
340 op_params.filter_width = params->filter_width; \ in MaxEvalQuantizedInt16()
364 op_params.filter_width = params->filter_width; \ in L2EvalFloat()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | multithreaded_conv.h | 90 int filter_width, int filter_count, int stride_rows, in operator()
94 const bool is_1x1_kernel = (filter_height == 1 && filter_width == 1 && in operator()
108 } else if (filter_height == input_height && filter_width == input_width && in operator()
113 filter_width * filter_height * input_depth; in operator()
126 ConstEigenTensor filter(filter_data, filter_height, filter_width, in operator()
166 const int filter_width = filter_shape.Dims(2); in Conv() local
171 input_depth, filter_data, filter_height, filter_width, in Conv()
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| D | im2col_utils.h | 143 const int filter_width = filter_shape.Dims(2); in DilatedIm2col() local
152 const RuntimeShape col_shape({1, filter_height, filter_width, input_depth}); in DilatedIm2col()
174 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in DilatedIm2col()
194 memset(dst, zero_byte, filter_width * input_depth * sizeof(T)); in DilatedIm2col()
418 int filter_height, int filter_width, in DilatedIm2col3D() argument
447 {1, filter_depth, filter_height, filter_width, input_channels}); in DilatedIm2col3D()
468 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in DilatedIm2col3D()
491 filter_width * input_depth * sizeof(T)); in DilatedIm2col3D()
499 filter_height * filter_width * input_depth * sizeof(T)); in DilatedIm2col3D()
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| /external/ComputeLibrary/tests/validation/reference/ |
| D | DepthwiseConvolutionLayer.cpp | 62 const int filter_width = weights.shape().x(); in depthwise_convolution_fp() local
64 const int filter_plane = filter_width * filter_height; in depthwise_convolution_fp()
73 const float patch_width = (filter_width + (dilation.x() - 1) * (filter_width - 1)); in depthwise_convolution_fp()
155 const int filter_width = weights.shape().x(); in depthwise_convolution_quantized() local
157 const int filter_plane = filter_width * filter_height; in depthwise_convolution_quantized()
166 const float patch_width = (filter_width + (dilation.x() - 1) * (filter_width - 1)); in depthwise_convolution_quantized()
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| /external/libaom/libaom/av1/encoder/ |
| D | cnn.c | 164 (in_width - layer_config->filter_width + layer_config->skip_width) / in av1_find_cnn_layer_output_size()
181 layer_config->filter_width; in av1_find_cnn_layer_output_size()
365 for (int m = 0; m < layer_config->filter_width; in convolve_maxpool_padding_zero()
408 for (int m = 0; m < layer_config->filter_width; in convolve_maxpool_padding_replicate()
440 for (int w = 0, v = 0; w < in_width - layer_config->filter_width + 1; in convolve_maxpool_padding_valid()
451 for (int m = 0; m < layer_config->filter_width; in convolve_maxpool_padding_valid()
483 get_start_shift_convolve(in_width, layer_config->filter_width, in convolve_element_wise()
517 in_width, layer_config->filter_width, layer_config->skip_width); in convolve_no_maxpool_padding_zero()
523 const int top_filter_margin = layer_config->filter_width * ii_shift; in convolve_no_maxpool_padding_zero()
530 AOMMAX(0, top_filter_margin - h * layer_config->filter_width) * in convolve_no_maxpool_padding_zero()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | depthwise_conv.h | 55 const int filter_width = filter_shape.Dims(2); in DepthwiseConvPerChannel() local
71 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in DepthwiseConvPerChannel()
152 const int filter_width = filter_shape.Dims(2); in DepthwiseConvPerChannel() local
168 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in DepthwiseConvPerChannel()
235 const int filter_width = filter_shape.Dims(2); in DepthwiseConvHybridPerChannel() local
252 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in DepthwiseConvHybridPerChannel()
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| D | conv.h | 61 const int filter_width = filter_shape.Dims(2); in ConvPerChannel() local
73 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in ConvPerChannel()
164 const int filter_width = filter_shape.Dims(2); in ConvPerChannel() local
176 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in ConvPerChannel()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | conv.h | 54 const int filter_width = filter_shape.Dims(2); in Conv() local
66 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in Conv()
137 const int filter_width = filter_shape.Dims(2); in Conv() local
149 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in Conv()
217 const int filter_width = filter_shape.Dims(2); in HybridConvPerChannel() local
228 for (int filter_x = 0; filter_x < filter_width; ++filter_x) { in HybridConvPerChannel()
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| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| D | flatten_atrous.cc | 70 const int32_t filter_width = filter.dim_size(1); in FlattenAtrousConv() local
77 (filter_width - 1) * block_width + 1; in FlattenAtrousConv()
88 for (int w = 0; w < filter_width; ++w) { in FlattenAtrousConv()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_Conv2D.pbtxt | 14 `[filter_height, filter_width, in_channels, out_channels]`
71 `[filter_height, filter_width, in_channels, out_channels]`, this op
75 `[filter_height * filter_width * in_channels, output_channels]`.
78 filter_height * filter_width * in_channels]`.
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| /external/tensorflow/tensorflow/lite/kernels/perception/ |
| D | max_pool_with_argmax_test.cc | 38 int filter_width, TfLitePadding padding, in MaxpoolingWithArgMaxOpModel() argument
46 stride_height, stride_width, filter_height, filter_width, padding); in MaxpoolingWithArgMaxOpModel()
70 int filter_height, int filter_width, in CreateCustomOptions() argument
84 flex_builder->Add(filter_width); in CreateCustomOptions()
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| D | max_pool_with_argmax.cc | 59 std::min(params.filter_width, input_width - in_x_origin); in MaxPool()
137 op_data->params.filter_width = pool_size[2].AsInt32(); in Init()
185 width, op_data->params.filter_height, op_data->params.filter_width, in Prepare()
210 op_params.filter_width = op_data->params.filter_width; in Eval()
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| /external/tensorflow/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/ |
| D | many_attribute_op.mlir | 6 …// CHECK: "tfl.average_pool_2d"(%{{.*}}) {filter_height = 3 : i32, filter_width = 6 : i32, fused_a…
7 …%0 = "tfl.average_pool_2d"(%arg0) {filter_height = 3 : i32, filter_width = 6 : i32, fused_activati…
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