| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/kernels/ |
| D | padding.h | 26 int padding = ((out_size - 1) * stride + effective_filter_size - in_size) / 2; in ComputePadding() local
27 return padding > 0 ? padding : 0; in ComputePadding()
44 inline int ComputeOutSize(TfLitePadding padding, int image_size,
52 switch (padding) {
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()
68 *out_height = ComputeOutSize(padding, in_height, filter_height, stride_height, 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()
92 *out_height = ComputeOutSize(padding, in_height, filter_height, stride_height, in ComputePadding3DValues()
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| D | BUILD | 37 name = "padding",
39 hdrs = ["padding.h"],
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/ |
| D | pooling_common.cc | 41 data->padding = ComputePaddingHeightWidth( in CalculateOpDataPooling()
45 params->filter_width, params->padding, &out_height, &out_width); in CalculateOpDataPooling()
88 op_params.padding_values.height = data->padding.height; in AveragePoolingEvalFloat()
89 op_params.padding_values.width = data->padding.width; in AveragePoolingEvalFloat()
110 op_params.padding_values.height = data->padding.height; in AveragePoolingEvalQuantized()
111 op_params.padding_values.width = data->padding.width; in AveragePoolingEvalQuantized()
131 op_params.padding_values.height = data->padding.height; in MaxPoolingEvalFloat()
132 op_params.padding_values.width = data->padding.width; in MaxPoolingEvalFloat()
151 op_params.padding_values.height = data->padding.height; in MaxPoolingEvalQuantized()
152 op_params.padding_values.width = data->padding.width; in MaxPoolingEvalQuantized()
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| D | conv_common.cc | 46 op_params.padding_type = tflite::micro::RuntimePaddingType(params.padding); in ConvParamsFloat()
47 op_params.padding_values.width = data.padding.width; in ConvParamsFloat()
48 op_params.padding_values.height = data.padding.height; in ConvParamsFloat()
66 op_params.padding_type = tflite::micro::RuntimePaddingType(params.padding); in ConvParamsQuantized()
67 op_params.padding_values.height = data.padding.height; in ConvParamsQuantized()
68 op_params.padding_values.width = data.padding.width; in ConvParamsQuantized()
90 auto padding = params.padding; in CalculateOpDataConv() local
91 data->padding = ComputePaddingHeightWidth( in CalculateOpDataConv()
94 padding, &out_height, &out_width); in CalculateOpDataConv()
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| D | depthwise_conv_common.cc | 46 op_params.padding_type = tflite::micro::RuntimePaddingType(params.padding); in DepthwiseConvParamsFloat()
47 op_params.padding_values.width = data.padding.width; in DepthwiseConvParamsFloat()
48 op_params.padding_values.height = data.padding.height; in DepthwiseConvParamsFloat()
67 op_params.padding_type = tflite::micro::RuntimePaddingType(params.padding); in DepthwiseConvParamsQuantized()
68 op_params.padding_values.height = data.padding.height; in DepthwiseConvParamsQuantized()
69 op_params.padding_values.width = data.padding.width; in DepthwiseConvParamsQuantized()
91 auto padding = params.padding; in CalculateOpDataDepthwiseConv() local
92 data->padding = ComputePaddingHeightWidth( in CalculateOpDataDepthwiseConv()
95 padding, &out_height, &out_width); in CalculateOpDataDepthwiseConv()
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| D | l2_pool_2d.cc | 58 auto padding = params->padding; in L2Prepare() local
61 params->computed.padding = ComputePaddingHeightWidth( in L2Prepare()
63 params->filter_height, params->filter_width, padding, &out_height, in L2Prepare()
114 op_params.padding_values.height = params->computed.padding.height; in L2Eval()
115 op_params.padding_values.width = params->computed.padding.width; in L2Eval()
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| D | pooling_test.cc | 34 TfLitePadding padding, in ValidatePoolingGoldens() argument
41 TfLitePoolParams builtin_data = {padding, in ValidatePoolingGoldens()
65 int* output_dims_data, TfLitePadding padding, in TestAveragePoolFloat() argument
84 expected_output_data, output_dims_count, padding, in TestAveragePoolFloat()
95 TfLitePadding padding, TfLiteFusedActivation activation, T* output_data) { in TestAveragePoolQuantized() argument
115 expected_output_data, output_dims_count, padding, in TestAveragePoolQuantized()
122 int* output_dims_data, TfLitePadding padding, in TestMaxPoolFloat() argument
139 expected_output_data, output_dims_count, padding, in TestMaxPoolFloat()
150 TfLitePadding padding, in TestMaxPoolQuantized() argument
169 expected_output_data, output_dims_count, padding, in TestMaxPoolQuantized()
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| D | l2_pool_2d_test.cc | 32 TfLitePadding padding = kTfLitePaddingValid; member
54 op_params.padding = params.padding; in ExecuteL2Pool2DTest()
177 params.padding = kTfLitePaddingSame; in TF_LITE_MICRO_TEST()
195 params.padding = kTfLitePaddingSame; in TF_LITE_MICRO_TEST()
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| D | kernel_util.cc | 40 PaddingType RuntimePaddingType(TfLitePadding padding) { in RuntimePaddingType() argument
41 switch (padding) { in RuntimePaddingType()
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| D | transpose_conv.cc | 59 inline PaddingType RuntimePaddingType(TfLitePadding padding) { in RuntimePaddingType() argument
60 switch (padding) { in RuntimePaddingType()
82 auto padding = params->padding; in CalculateOpData() local
86 width, filter_height, filter_width, padding, &out_height, &out_width); in CalculateOpData()
88 data->params.padding_type = RuntimePaddingType(padding); in CalculateOpData()
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| D | conv.h | 28 TfLitePaddingValues padding; member
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| D | pooling.h | 30 TfLitePaddingValues padding; member
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/arc_mli/ |
| D | pooling.cc | 38 TfLitePaddingValues padding; member
71 data->padding = ComputePaddingHeightWidth( in CalculateOpData()
75 params->filter_width, params->padding, &out_height, &out_width); in CalculateOpData()
125 if (params->padding == kTfLitePaddingValid) { in Prepare()
131 data->cfg->padding_left = data->padding.width; in Prepare()
133 data->padding.width + data->padding.width_offset; in Prepare()
134 data->cfg->padding_top = data->padding.height; in Prepare()
136 data->padding.height + data->padding.height_offset; in Prepare()
155 op_params.padding_values.height = data.padding.height; in AverageEvalFloat()
156 op_params.padding_values.width = data.padding.width; in AverageEvalFloat()
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| D | conv.cc | 52 TfLitePaddingValues padding; member
88 inline PaddingType RuntimePaddingType(TfLitePadding padding) { in RuntimePaddingType() argument
89 switch (padding) { in RuntimePaddingType()
128 auto padding = params->padding; in CalculateOpData() local
129 data->padding = ComputePaddingHeightWidth( in CalculateOpData()
132 width, filter_height, filter_width, padding, &out_height, &out_width); in CalculateOpData()
297 if (params->padding == kTfLitePaddingValid) { in Prepare()
303 data->cfg->padding_left = data->padding.width; in Prepare()
305 data->padding.width + data->padding.width_offset; in Prepare()
306 data->cfg->padding_top = data->padding.height; in Prepare()
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| D | depthwise_conv.cc | 55 TfLitePaddingValues padding; member
136 data->padding = ComputePaddingHeightWidth( in CalculateOpData()
138 filter_height, filter_width, params->padding, &unused_output_height, in CalculateOpData()
324 if (params->padding == kTfLitePaddingValid) { in Prepare()
330 data->cfg->padding_left = data->padding.width; in Prepare()
332 data->padding.width + data->padding.width_offset; in Prepare()
333 data->cfg->padding_top = data->padding.height; in Prepare()
335 data->padding.height + data->padding.height_offset; in Prepare()
353 op_params.padding_values.width = data.padding.width; in EvalFloat()
354 op_params.padding_values.height = data.padding.height; in EvalFloat()
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| D | pooling_slicing_test.cc | 42 float output_max, TfLitePadding padding, TfLiteFusedActivation activation, in TestAveragePoolingQuantized() argument
68 TfLitePoolParams builtin_data = {padding, stride_width, stride_height, in TestAveragePoolingQuantized()
113 int* output_dims_data, TfLitePadding padding, in TestMaxPoolQuantized() argument
140 padding, stride_width, stride_height, in TestMaxPoolQuantized()
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/c/ |
| D | builtin_op_data.h | 78 TfLitePadding padding; member
90 TfLitePadding padding; member
103 TfLitePadding padding; member
110 TfLitePaddingValues padding; member
116 TfLitePadding padding; member
413 TfLitePadding padding; member
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/cmsis_nn/ |
| D | pooling.cc | 66 pool_params.padding.h = data.reference_op_data.padding.height; in AverageEvalQuantized()
67 pool_params.padding.w = data.reference_op_data.padding.width; in AverageEvalQuantized()
114 pool_params.padding.h = data.reference_op_data.padding.height; in MaxEvalInt8()
115 pool_params.padding.w = data.reference_op_data.padding.width; in MaxEvalInt8()
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| D | depthwise_conv.cc | 137 dw_conv_params.padding.h = data->reference_op_data.padding.height; in Prepare()
138 dw_conv_params.padding.w = data->reference_op_data.padding.width; in Prepare()
169 dw_conv_params.padding.h = data.reference_op_data.padding.height; in EvalQuantizedPerChannel()
170 dw_conv_params.padding.w = data.reference_op_data.padding.width; in EvalQuantizedPerChannel()
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| D | conv.cc | 110 conv_params.padding.h = data->reference_op_data.padding.height; in Prepare()
111 conv_params.padding.w = data->reference_op_data.padding.width; in Prepare()
145 conv_params.padding.h = data.reference_op_data.padding.height; in EvalQuantizedPerChannel()
146 conv_params.padding.w = data.reference_op_data.padding.width; in EvalQuantizedPerChannel()
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/xtensa/ |
| D | depthwise_conv_hifi.cc | 66 const int pad_width = data->reference_op_data.padding.width; in DepthwiseConvPrepareHifi()
67 const int pad_height = data->reference_op_data.padding.height; in DepthwiseConvPrepareHifi()
98 const int pad_width = data.reference_op_data.padding.width; in DepthwiseConvEvalHifi()
99 const int pad_height = data.reference_op_data.padding.height; in DepthwiseConvEvalHifi()
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| D | conv_hifi.cc | 55 const int pad_height = data->reference_op_data.padding.height; in ConvPrepareHifi()
92 const int pad_width = data.reference_op_data.padding.width; in ConvEvalHifi()
93 const int pad_height = data.reference_op_data.padding.height; in ConvEvalHifi()
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/ceva/ |
| D | depthwise_conv.cc | 80 const int pad_width = data.padding.width; in EvalFloat()
81 const int pad_height = data.padding.height; in EvalFloat()
156 const int pad_width = data.padding.width; in EvalQuantizedPerChannel()
157 const int pad_height = data.padding.height; in EvalQuantizedPerChannel()
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/examples/magic_wand/train/ |
| D | train.py | 55 padding="same",
60 tf.keras.layers.Conv2D(16, (4, 1), padding="same",
62 tf.keras.layers.MaxPool2D((3, 1), padding="same"), # (batch, 14, 1, 16)
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| /tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/vexriscv/ |
| D | depthwise_conv.cc | 281 TfLitePaddingValues padding; member
312 data->padding = ComputePaddingHeightWidth( in CalculateOpData()
314 filter_height, filter_width, params->padding, &unused_output_height, in CalculateOpData()
411 op_params.padding_values.width = data.padding.width; in EvalQuantizedPerChannel()
412 op_params.padding_values.height = data.padding.height; in EvalQuantizedPerChannel()
449 op_params.padding_values.width = data.padding.width; in EvalQuantized()
450 op_params.padding_values.height = data.padding.height; in EvalQuantized()
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