| /external/tensorflow/tensorflow/lite/micro/kernels/ |
| D | pooling_test.cc | 32 const int stride_height, const int stride_width, in ValidatePoolingGoldens() argument
43 stride_height, in ValidatePoolingGoldens()
63 const int stride_height, const int stride_width, in TestAveragePoolFloat() argument
84 filter_width, stride_height, stride_width, in TestAveragePoolFloat()
93 const int stride_height, const int stride_width, in TestAveragePoolQuantized() argument
116 filter_width, stride_height, stride_width, in TestAveragePoolQuantized()
123 int stride_height, const float* expected_output_data, in TestMaxPoolFloat() argument
141 filter_width, stride_height, stride_width, in TestMaxPoolFloat()
150 const int stride_height, const int stride_width, in TestMaxPoolQuantized() argument
172 filter_width, stride_height, stride_width, in TestMaxPoolQuantized()
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| D | pooling.cc | 53 params->stride_height, params->stride_width, in CalculateOpData()
65 op_params.stride_height = params->stride_height; in AverageEvalFloat()
86 op_params.stride_height = params->stride_height; in AverageEvalQuantized()
113 op_params.stride_height = params->stride_height; in MaxEvalFloat()
131 op_params.stride_height = params->stride_height; in MaxEvalQuantized()
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| /external/tensorflow/tensorflow/lite/kernels/internal/ |
| D | averagepool_quantized_test.cc | 69 const int stride_height = UniformRandomInt(1, 10); in CreateDataAndRunAveragePool() local
79 ? (input_height + stride_height - 1) / stride_height in CreateDataAndRunAveragePool()
80 : (input_height - filter_height + stride_height) / stride_height; in CreateDataAndRunAveragePool()
91 params.stride_height = stride_height; in CreateDataAndRunAveragePool()
106 params.padding_values.height = compute_padding(stride_height, input_height, in CreateDataAndRunAveragePool()
132 const int stride_height = UniformRandomInt(1, 128); in CreateExtremalDataAndRunAveragePool() local
145 ? (input_height + stride_height - 1) / stride_height in CreateExtremalDataAndRunAveragePool()
146 : (input_height - filter_height + stride_height) / stride_height; in CreateExtremalDataAndRunAveragePool()
154 params.stride_height = stride_height; in CreateExtremalDataAndRunAveragePool()
169 params.padding_values.height = compute_padding(stride_height, input_height, in CreateExtremalDataAndRunAveragePool()
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| D | maxpool_quantized_test.cc | 65 const int stride_height = UniformRandomInt(1, 10); in CreateDataAndRunMaxPool() local
75 ? (input_height + stride_height - 1) / stride_height in CreateDataAndRunMaxPool()
76 : (input_height - filter_height + stride_height) / stride_height; in CreateDataAndRunMaxPool()
87 params.stride_height = stride_height; in CreateDataAndRunMaxPool()
102 params.padding_values.height = compute_padding(stride_height, input_height, in CreateDataAndRunMaxPool()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | pooling.h | 38 const int stride_height = params.stride_height; in AveragePool() local
47 (out_y * stride_height) - params.padding_values.height; in AveragePool()
94 const int stride_height = params.stride_height; in AveragePool() local
103 (out_y * stride_height) - params.padding_values.height; in AveragePool()
147 const int stride_height = params.stride_height; in L2Pool() local
156 (out_y * stride_height) - params.padding_values.height; in L2Pool()
201 const int stride_height = params.stride_height; in MaxPool() local
210 (out_y * stride_height) - params.padding_values.height; in MaxPool()
255 const int stride_height = params.stride_height; in MaxPool() local
264 (out_y * stride_height) - params.padding_values.height; in MaxPool()
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| D | conv.h | 32 const int stride_height = params.stride_height; in Conv() local
59 const int in_y_origin = (out_y * stride_height) - pad_height; in Conv()
111 const int stride_height = params.stride_height; in Conv() local
142 const int in_y_origin = (out_y * stride_height) - pad_height; in Conv()
198 const int stride_height = params.stride_height; in HybridConvPerChannel() local
225 const int in_y_origin = (out_y * stride_height) - pad_height; in HybridConvPerChannel()
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| /external/XNNPACK/src/operators/ |
| D | deconvolution-nhwc.c | 48 uint32_t stride_height, in create_deconvolution2d_nhwc() argument
93 if (stride_width == 0 || stride_height == 0) { in create_deconvolution2d_nhwc()
96 xnn_operator_type_to_string(operator_type), stride_width, stride_height); in create_deconvolution2d_nhwc()
178 …if (max(stride_height, stride_width) > 1 && max(dilation_height, dilation_width) == 1 && stride_wi… in create_deconvolution2d_nhwc()
180 const size_t subkernels = stride_height * stride_width; in create_deconvolution2d_nhwc()
194 for (size_t offset_y = 0; offset_y < stride_height; offset_y++) { in create_deconvolution2d_nhwc()
196 const size_t subkernel_height = divide_round_up(kernel_height - offset_y, stride_height); in create_deconvolution2d_nhwc()
226 stride_height, stride_width, in create_deconvolution2d_nhwc()
252 deconvolution_op->stride_height = stride_height; in create_deconvolution2d_nhwc()
274 if ((stride_height | stride_width) == 1) { in create_deconvolution2d_nhwc()
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| D | max-pooling-nhwc.c | 52 uint32_t stride_height, in create_max_pooling2d_nhwc() argument
103 if (stride_height == 0 || stride_width == 0) { in create_max_pooling2d_nhwc()
106 xnn_operator_type_to_string(operator_type), stride_width, stride_height); in create_max_pooling2d_nhwc()
169 max_pooling_op->stride_height = stride_height; in create_max_pooling2d_nhwc()
232 input_height, max_pooling_op->stride_height); in setup_max_pooling2d_nhwc()
239 …doz((max_pooling_op->output_height - 1) * max_pooling_op->stride_height + effective_kernel_height,… in setup_max_pooling2d_nhwc()
251 max_pooling_op->stride_height); in setup_max_pooling2d_nhwc()
331 uint32_t stride_height, in xnn_create_max_pooling2d_nhwc_u8() argument
354 stride_height, stride_width, in xnn_create_max_pooling2d_nhwc_u8()
370 uint32_t stride_height, in xnn_create_max_pooling2d_nhwc_f32() argument
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| D | average-pooling-nhwc.c | 50 uint32_t stride_height, in xnn_create_average_pooling2d_nhwc_qu8() argument
91 if (stride_height == 0 || stride_width == 0) { in xnn_create_average_pooling2d_nhwc_qu8()
94 …_operator_type_to_string(xnn_operator_type_average_pooling_nhwc_qu8), stride_width, stride_height); in xnn_create_average_pooling2d_nhwc_qu8()
203 average_pooling_op->stride_height = stride_height; in xnn_create_average_pooling2d_nhwc_qu8()
246 uint32_t stride_height, in xnn_create_average_pooling2d_nhwc_f32() argument
283 if (stride_height == 0 || stride_width == 0) { in xnn_create_average_pooling2d_nhwc_f32()
286 …_operator_type_to_string(xnn_operator_type_average_pooling_nhwc_f32), stride_width, stride_height); in xnn_create_average_pooling2d_nhwc_f32()
373 average_pooling_op->stride_height = stride_height; in xnn_create_average_pooling2d_nhwc_f32()
450 input_height, average_pooling_op->stride_height); in setup_average_pooling2d()
457 …(average_pooling_op->output_height - 1) * average_pooling_op->stride_height + kernel_height - inpu… in setup_average_pooling2d()
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | padding.h | 59 int stride_height, int stride_width, int dilation_rate_height, in ComputePaddingHeightWidth() argument
64 *out_height = ComputeOutSize(padding, in_height, filter_height, stride_height, in ComputePaddingHeightWidth()
70 ComputePaddingWithOffset(stride_height, dilation_rate_height, in_height, in ComputePaddingHeightWidth()
81 int stride_height, int stride_width, int stride_depth, in ComputePadding3DValues() argument
88 *out_height = ComputeOutSize(padding, in_height, filter_height, stride_height, in ComputePadding3DValues()
100 ComputePaddingWithOffset(stride_height, dilation_rate_height, in_height, in ComputePadding3DValues()
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| D | pooling.cc | 91 params->stride_height, params->stride_width, 1, 1, height, width, in GenericPrepare()
124 op_params.stride_height = params->stride_height; \ in AverageEvalFloat()
154 op_params.stride_height = params->stride_height; \ in AverageEvalQuantizedUint8()
184 op_params.stride_height = params->stride_height; \ in AverageEvalQuantizedInt8()
214 op_params.stride_height = params->stride_height; \ in AverageEvalQuantizedInt16()
238 op_params.stride_height = params->stride_height; \ in MaxEvalFloat()
266 op_params.stride_height = params->stride_height; \ in MaxEvalQuantizedUInt8()
295 op_params.stride_height = params->stride_height; \ in MaxEvalQuantizedInt8()
324 op_params.stride_height = params->stride_height; \ in MaxEvalQuantizedInt16()
348 op_params.stride_height = params->stride_height; \ in L2EvalFloat()
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| D | conv_test.cc | 56 int stride_height = 2, enum Padding padding = Padding_VALID, in BaseConvolutionOpModel() argument
116 builder_, padding, stride_width, stride_height, activation,
516 const int stride_height = 1; in TEST_P() local
523 {TensorType_FLOAT32, {}}, stride_width, stride_height, padding); in TEST_P()
591 const int stride_height = 1; in TEST_P() local
603 {TensorType_FLOAT32, {}}, stride_width, stride_height, padding, in TEST_P()
661 const int stride_height = 1; in TEST_P() local
668 {TensorType_FLOAT32, {}}, stride_width, stride_height, padding); in TEST_P()
715 const int stride_height = 1; in TEST_P() local
722 {TensorType_FLOAT32, {}}, stride_width, stride_height, padding, in TEST_P()
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| D | pooling.h | 38 const int stride_height = params.stride_height; in AveragePool() local
47 (out_y * stride_height) - params.padding_values.height; in AveragePool()
99 const int stride_height = params.stride_height; in MaxPool() local
108 (out_y * stride_height) - params.padding_values.height; in MaxPool()
154 const int stride_height = params.stride_height; in AveragePool() local
163 (out_y * stride_height) - params.padding_values.height; in AveragePool()
215 const int stride_height = params.stride_height; in MaxPool() local
224 (out_y * stride_height) - params.padding_values.height; in MaxPool()
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| D | depthwise_conv.h | 32 const int stride_height = params.stride_height; in DepthwiseConvPerChannel() local
68 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvPerChannel()
131 const int stride_height = params.stride_height; in DepthwiseConvPerChannel() local
165 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvPerChannel()
216 const int stride_height = params.stride_height; in DepthwiseConvHybridPerChannel() local
249 const int in_y_origin = (out_y * stride_height) - pad_height; in DepthwiseConvHybridPerChannel()
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| /external/tensorflow/tensorflow/lite/micro/kernels/arc_mli/ |
| D | pooling_slicing_test.cc | 40 const int stride_height, const int stride_width, in TestAveragePoolingQuantized() argument
68 TfLitePoolParams builtin_data = {padding, stride_width, stride_height, in TestAveragePoolingQuantized()
111 int stride_height, const T* expected_output_data, in TestMaxPoolQuantized() argument
140 padding, stride_width, stride_height, in TestMaxPoolQuantized()
314 int stride_height = 1; in TF_LITE_MICRO_TEST() local
324 stride_width, stride_height, kGolden1Data, output_min, output_max, in TF_LITE_MICRO_TEST()
340 int stride_height = 1; in TF_LITE_MICRO_TEST() local
352 stride_width, stride_height, kGolden1Data, output_min, output_max, in TF_LITE_MICRO_TEST()
369 int stride_height = 1; in TF_LITE_MICRO_TEST() local
384 stride_width, stride_height, kGolden2Data, output_min, output_max, in TF_LITE_MICRO_TEST()
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| D | pooling.cc | 74 params->stride_height, params->stride_width, in CalculateOpData()
125 data->cfg->stride_height = params->stride_height; in Prepare()
153 op_params.stride_height = params->stride_height; in AverageEvalFloat()
185 const int overlap = cfg_local.kernel_height - cfg_local.stride_height; in EvalMli()
198 &in_local, &out_local, cfg_local.kernel_height, cfg_local.stride_height, in EvalMli()
245 op_params.stride_height = params->stride_height; in AverageEvalQuantized()
278 op_params.stride_height = params->stride_height; in MaxEvalFloat()
303 op_params.stride_height = params->stride_height; in MaxEvalQuantized()
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| /external/XNNPACK/src/ |
| D | indirection.c | 33 const size_t stride_height = op->stride_height; in xnn_indirection_init_conv2d() local
53 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_conv2d()
93 const size_t stride_height = op->stride_height; in xnn_indirection_init_deconv2d() local
105 const struct fxdiv_divisor_size_t stride_height_divisor = fxdiv_init_size_t(stride_height); in xnn_indirection_init_deconv2d()
122 …if (input_y * stride_height == y && input_y < input_height && input_x * stride_width == x && input… in xnn_indirection_init_deconv2d()
149 const size_t stride_height = op->stride_height; in xnn_indirection_init_subconv2d() local
154 const size_t modulo_padding_top = padding_top % stride_height; in xnn_indirection_init_subconv2d()
156 for (size_t offset_y = 0; offset_y < stride_height; offset_y++) { in xnn_indirection_init_subconv2d()
157 const size_t output_y_start = subtract_modulo(offset_y, modulo_padding_top, stride_height); in xnn_indirection_init_subconv2d()
167 for (size_t output_y = output_y_start; output_y < output_height; output_y += stride_height) { in xnn_indirection_init_subconv2d()
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| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| D | im2col_utils.h | 29 int stride_width, int stride_height, in ExtractPatchIntoBufferColumn() argument
41 const int ih_ungated_start = h * stride_height - pad_height; in ExtractPatchIntoBufferColumn()
123 const int stride_height = params.stride_height; in DilatedIm2col() local
167 const int in_y_origin = (out_y * stride_height) - pad_height; in DilatedIm2col()
218 const int stride_height = params.stride_height; in Im2col() local
238 input_shape, w, h, b, kheight, kwidth, stride_width, stride_height, in Im2col()
254 const int stride_height = params.stride_height; in Im2col() local
276 input_shape, w, h, b, kheight, kwidth, stride_width, stride_height, in Im2col()
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| /external/XNNPACK/src/subgraph/ |
| D | average-pooling-2d.c | 24 uint32_t stride_height, in xnn_define_average_pooling_2d() argument
54 if (stride_height == 0 || stride_width == 0) { in xnn_define_average_pooling_2d()
58 xnn_node_type_to_string(xnn_node_type_average_pooling_2d), stride_width, stride_height); in xnn_define_average_pooling_2d()
121 node->params.pooling_2d.stride_height = stride_height; in xnn_define_average_pooling_2d()
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| D | max-pooling-2d.c | 24 uint32_t stride_height, in xnn_define_max_pooling_2d() argument
56 if (stride_height == 0 || stride_width == 0) { in xnn_define_max_pooling_2d()
59 xnn_node_type_to_string(xnn_node_type_max_pooling_2d), stride_width, stride_height); in xnn_define_max_pooling_2d()
129 node->params.pooling_2d.stride_height = stride_height; in xnn_define_max_pooling_2d()
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| /external/tensorflow/tensorflow/lite/delegates/coreml/builders/ |
| D | convolution_op_builder.cc | 49 int stride_height = 0; in Build() local
59 stride_height = conv_params->stride_height; in Build()
71 stride_height = depthwise_conv_params->stride_height; in Build()
88 stride_height = transpose_conv_params->stride_height; in Build()
101 if (stride_height) { in Build()
102 layer_->mutable_convolution()->add_stride(stride_height); in Build()
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| /external/XNNPACK/test/ |
| D | average-pooling-operator-tester.h | 84 (output_height() - 1) * stride_height() + pooling_height() - input_height(); in padding_top()
116 (output_height() - 1) * stride_height() + pooling_height() - input_height(); in padding_bottom()
229 inline AveragePoolingOperatorTester& stride(uint32_t stride_height, uint32_t stride_width) { in stride() argument
230 assert(stride_height >= 1); in stride()
232 this->stride_height_ = stride_height; in stride()
237 inline AveragePoolingOperatorTester& stride_height(uint32_t stride_height) { in stride_height() function
238 assert(stride_height >= 1); in stride_height()
239 this->stride_height_ = stride_height; in stride_height()
243 inline uint32_t stride_height() const { in stride_height() function
259 return (input_height() + stride_height() - 1) / stride_height(); in output_height()
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| D | max-pooling-operator-tester.h | 83 (output_height() - 1) * stride_height() + dilated_pooling_height() - input_height(); in padding_top()
115 (output_height() - 1) * stride_height() + dilated_pooling_height() - input_height(); in padding_bottom()
228 inline MaxPoolingOperatorTester& stride(uint32_t stride_height, uint32_t stride_width) { in stride() argument
229 assert(stride_height >= 1); in stride()
231 this->stride_height_ = stride_height; in stride()
236 inline MaxPoolingOperatorTester& stride_height(uint32_t stride_height) { in stride_height() function
237 assert(stride_height >= 1); in stride_height()
238 this->stride_height_ = stride_height; in stride_height()
242 inline uint32_t stride_height() const { in stride_height() function
301 return (input_height() + stride_height() - 1) / stride_height(); in output_height()
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| /external/tensorflow/tensorflow/lite/c/ |
| D | builtin_op_data.h | 81 int stride_height; member
93 int stride_height; member
104 int stride_height; member
117 int stride_height; member
412 int stride_height; member
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| /external/tensorflow/tensorflow/lite/micro/kernels/cmsis_nn/ |
| D | pooling.cc | 56 params->stride_height, params->stride_width, in CalculateOpData()
82 op_params.stride_height = params->stride_height; in AverageEvalFloat()
104 op_params.stride_height = params->stride_height; in AverageEvalQuantized()
139 pool_params.stride.h = params->stride_height; in AverageEvalQuantized()
175 op_params.stride_height = params->stride_height; in MaxEvalFloat()
194 op_params.stride_height = params->stride_height; in MaxEvalQuantizedUInt8()
229 pool_params.stride.h = params->stride_height; in MaxEvalInt8()
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