| /external/tensorflow/tensorflow/python/keras/legacy_tf_layers/ |
| D | convolutional.py | 91 use_bias=True, argument
110 use_bias=use_bias,
131 use_bias=True, argument
213 use_bias=use_bias,
296 use_bias=True, argument
315 use_bias=use_bias,
336 use_bias=True, argument
425 use_bias=use_bias,
509 use_bias=True, argument
528 use_bias=use_bias,
[all …]
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| D | core.py | 87 use_bias=True, argument
100 use_bias=use_bias,
117 use_bias=True, argument
176 use_bias=use_bias,
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| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | xception.py | 149 use_bias=False,
153 x = layers.Conv2D(64, (3, 3), use_bias=False, name='block1_conv2')(x)
158 128, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x)
162 128, (3, 3), padding='same', use_bias=False, name='block2_sepconv1')(x)
166 128, (3, 3), padding='same', use_bias=False, name='block2_sepconv2')(x)
176 256, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x)
181 256, (3, 3), padding='same', use_bias=False, name='block3_sepconv1')(x)
185 256, (3, 3), padding='same', use_bias=False, name='block3_sepconv2')(x)
195 728, (1, 1), strides=(2, 2), padding='same', use_bias=False)(x)
200 728, (3, 3), padding='same', use_bias=False, name='block4_sepconv1')(x)
[all …]
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| D | resnet.py | 62 use_bias, argument
168 x = layers.Conv2D(64, 7, strides=2, use_bias=use_bias, name='conv1_conv')(x)
318 filters, 1, strides=1, use_bias=False, name=name + '_1_conv')(preact)
328 use_bias=False,
388 use_bias=False,
395 x = layers.Conv2D(filters, 1, use_bias=False, name=name + '_1_conv')(x)
406 use_bias=False,
419 (64 // groups) * filters, 1, use_bias=False, name=name + '_3_conv')(x)
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| D | nasnet.py | 215 use_bias=False,
509 use_bias=False,
524 use_bias=False,
573 use_bias=False,
588 use_bias=False,
609 use_bias=False,
644 use_bias=False,
723 use_bias=False,
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| D | inception_resnet_v2.py | 259 use_bias=False, argument
282 use_bias=use_bias,
285 if not use_bias:
365 use_bias=True,
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| D | mobilenet_v2.py | 307 use_bias=False,
364 last_block_filters, kernel_size=1, use_bias=False, name='Conv_1')(
430 use_bias=False,
453 use_bias=False,
471 use_bias=False,
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| D | mobilenet_v3.py | 270 use_bias=False,
289 use_bias=False,
299 use_bias=True,
502 use_bias=False,
522 use_bias=False,
540 use_bias=False,
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| D | densenet.py | 92 use_bias=False,
116 4 * growth_rate, 1, use_bias=False, name=name + '_1_conv')(
123 growth_rate, 3, padding='same', use_bias=False, name=name + '_2_conv')(
226 x = layers.Conv2D(64, 7, strides=2, use_bias=False, name='conv1/conv')(x)
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| D | efficientnet.py | 327 use_bias=False,
362 use_bias=False,
451 use_bias=False,
472 use_bias=False,
509 use_bias=False,
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| D | mobilenet.py | 357 use_bias=False,
422 use_bias=False,
433 use_bias=False,
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| /external/tensorflow/tensorflow/python/distribute/ |
| D | single_loss_example.py | 32 def single_loss_example(optimizer_fn, distribution, use_bias=False, argument
40 layer = core.Dense(1, use_bias=use_bias)
54 def minimize_loss_example(optimizer, use_bias=False, use_callable_loss=True): argument
63 layer = core.Dense(1, use_bias=use_bias)
100 layer = core.Dense(1, use_bias=False)
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | convolutional.py | 123 use_bias=True, argument
155 self.use_bias = use_bias
207 if self.use_bias:
253 if self.use_bias:
327 self.use_bias,
493 use_bias=True, argument
512 use_bias=use_bias,
652 use_bias=True, argument
671 use_bias=use_bias,
799 use_bias=True, argument
[all …]
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| D | recurrent.py | 1305 use_bias=True, argument
1326 self.use_bias = use_bias
1362 if self.use_bias:
1406 self.use_bias,
1526 use_bias=True, argument
1558 use_bias=use_bias,
1597 def use_bias(self): member in SimpleRNN
1598 return self.cell.use_bias
1651 self.use_bias,
1742 use_bias=True, argument
[all …]
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| D | local.py | 126 use_bias=True, argument
147 self.use_bias = use_bias
233 if self.use_bias:
282 if self.use_bias:
303 self.use_bias,
428 use_bias=True, argument
449 self.use_bias = use_bias
539 if self.use_bias:
592 if self.use_bias:
613 self.use_bias,
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| D | convolutional_recurrent.py | 500 use_bias=True, argument
524 self.use_bias = use_bias
569 if self.use_bias:
629 if self.use_bias:
676 'use_bias': self.use_bias,
837 use_bias=True, argument
864 use_bias=use_bias,
925 def use_bias(self): member in ConvLSTM2D
926 return self.cell.use_bias
986 'use_bias': self.use_bias,
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| D | multi_head_attention_test.py | 84 def test_masked_attention(self, use_bias): argument
87 num_heads=2, key_dim=2, use_bias=use_bias)
127 if use_bias:
279 use_bias=True,
318 use_bias=True,
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| D | recurrent_v2.py | 185 use_bias=True, argument
203 use_bias=use_bias,
353 use_bias=True, argument
382 use_bias=use_bias,
408 recurrent_dropout == 0 and not unroll and use_bias and
923 use_bias=True, argument
941 use_bias=use_bias,
1076 use_bias=True, argument
1105 use_bias=use_bias,
1134 recurrent_dropout == 0 and not unroll and use_bias and
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | test_example.py | 31 def minimize_loss_example(optimizer, use_bias=False, use_callable_loss=True): argument
40 layer = core.Dense(1, use_bias=use_bias)
77 layer = core.Dense(1, use_bias=False)
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.layers.pbtxt | 101 …s\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initi…
105 …s\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initi…
109 …el_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initi…
113 …s\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initi…
117 …el_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initi…
121 …argspec: "args=[\'inputs\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bia…
145 …ta_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_in…
149 …ta_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_in…
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| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | tracking_util_xla_test.py | 45 self._named_dense = core.Dense(1, use_bias=True)
46 self._second = core.Dense(1, use_bias=False)
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| D | saver_test.py | 52 self._named_dense = core.Dense(1, use_bias=True)
53 self._second = core.Dense(1, use_bias=False)
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| /external/tensorflow/tensorflow/python/keras/premade/ |
| D | linear_test.py | 141 model = linear.LinearModel(use_bias=False)
168 use_bias=False, kernel_initializer='zeros')
178 linear_model = linear.LinearModel(units=3, use_bias=True)
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| D | wide_deep_test.py | 99 l = linear.LinearModel(units=2, use_bias=False)(inp)
103 h = core.Dense(units=2, use_bias=False)(inp)
206 use_bias=False, kernel_initializer='zeros')
236 use_bias=False, kernel_initializer='zeros')
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | save_weights_test.py | 104 (keras.layers.Conv1D(output_dim, size, use_bias=False)),
110 use_bias=False, data_format='channels_first')),
116 use_bias=False,
123 use_bias=False,
130 use_bias=False, data_format='channels_first')),
304 model.add(keras.layers.Dense(num_hidden, use_bias=False,
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