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  /external/tensorflow/tensorflow/contrib/quantize/python/
quantize_graph.py 30 quant_delay=None,
45 quant_delay: Number of steps after which weights and activations are
49 freeze_bn_delay should be greater than quant_delay and should correspond
67 quant_delay=quant_delay,
72 def create_training_graph(input_graph=None, quant_delay=0):
80 The default value of quant_delay is suitable for finetuning an already trained
82 If one wants to train a quantized model from scratch, quant_delay should be
85 model. If quant_delay is not provided when training from scratch, training can
90 quant_delay: Number of steps after which weights and activations ar
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quantize.py 47 quant_delay=None,
59 quant_delay: (Optional, default None) Int, count of global steps for which
78 quant_delay=quant_delay,
97 quant_delay=quant_delay,
112 quant_delay=quant_delay,
123 quant_delay=quant_delay,
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quantize_graph_test.py 108 quant_delay = 100
109 rewrite_fn(quant_delay=quant_delay)
113 # Check to see if the quant_delay is correctly set.
117 self.assertTrue(('int64_val: %i' % quant_delay) in const_value)
quantize_parameterized_test.py 91 quantize.Quantize(graph, True, quant_delay=delay)
167 quantize.Quantize(graph, True, quant_delay=delay)
243 quantize.Quantize(graph, True, quant_delay=delay)
368 quantize.Quantize(graph, True, quant_delay=delay)
451 quantize.Quantize(graph, True, quant_delay=delay)
539 quantize.Quantize(graph, True, quant_delay=delay)

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