Searched refs:quantized_input_stats (Results 1 – 7 of 7) sorted by relevance
/external/tensorflow/tensorflow/lite/python/ |
D | convert.py | 370 quantized_input_stats=None, argument 500 if _requires_input_stats(toco) and quantized_input_stats: 501 input_array.mean_value, input_array.std_value = quantized_input_stats[idx]
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D | convert_test.py | 62 quantized_input_stats=[(0., 1.)]) 114 quantized_input_stats=[(0., 1.), (0., 1.)])
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D | lite.py | 1196 self.quantized_input_stats = {} 1290 if self.quantized_input_stats: 1294 if name in self.quantized_input_stats: 1295 quantized_stats.append(self.quantized_input_stats[name])
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D | lite_test.py | 268 converter.quantized_input_stats = {'Placeholder': (0., 1.)} # mean, std_dev 1051 converter.quantized_input_stats = { 1092 converter.quantized_input_stats = {'Placeholder': (0., 1.)} # mean, std_dev 1263 quantized_converter.quantized_input_stats = { 1283 converter.quantized_input_stats = {'inputA': (0., 1.)} # mean, std_dev 1307 converter.quantized_input_stats = { 1468 converter.quantized_input_stats = {'Placeholder': (0., 1.)} # mean, std_dev 2765 self.assertEqual(converter.quantized_input_stats, {})
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D | tflite_convert.py | 171 converter.quantized_input_stats = dict(list(zip(input_arrays, quant_stats)))
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/external/tensorflow/tensorflow/lite/g3doc/convert/ |
D | api_updates.md | 30 * _quantization_: `inference_type`, `quantized_input_stats`,
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/external/tensorflow/tensorflow/lite/g3doc/r1/convert/ |
D | python_api.md | 206 converter.quantized_input_stats = {'input' : (0., 1.)} # mean, std_dev (input range is [-1, 1])
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