| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 456 beta_1=0.9, argument
466 self.beta_1 = K.variable(beta_1, name='beta_1')
490 (1. - math_ops.pow(self.beta_1, t)))
501 m_t = (self.beta_1 * m) + (1. - self.beta_1) * g
524 'beta_1': float(K.get_value(self.beta_1)),
549 beta_1=0.9, argument
558 self.beta_1 = K.variable(beta_1, name='beta_1')
579 lr_t = lr / (1. - math_ops.pow(self.beta_1, t))
590 m_t = (self.beta_1 * m) + (1. - self.beta_1) * g
608 'beta_1': float(K.get_value(self.beta_1)),
[all …]
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResourceApplyAdamWithAmsgrad.pbtxt | 79 $$\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)$$
80 $$m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g$$
|
| D | api_def_ResourceApplyAdam.pbtxt | 79 $$\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)$$
80 $$m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g$$
|
| D | api_def_ApplyAdam.pbtxt | 85 $$lr_t := \text{learning\_rate} * \sqrt{1 - beta_2^t} / (1 - beta_1^t)$$
86 $$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$
|
| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | adamax.py | 47 beta_1=0.9, argument
104 self._set_hyper('beta_1', beta_1)
|
| D | adam_test.py | 375 beta_1 = 0.9
382 beta_1=beta_1,
425 beta_1 = 0.9
431 beta_1=beta_1,
|
| D | adam.py | 50 beta_1=0.9, argument
145 self._set_hyper('beta_1', beta_1)
|
| D | nadam.py | 66 beta_1=0.9, argument
100 self._set_hyper('beta_1', beta_1)
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.optimizers.-nadam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
|
| D | tensorflow.keras.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
|
| D | tensorflow.keras.optimizers.-adamax.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.optimizers.-nadam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
|
| D | tensorflow.keras.optimizers.-adamax.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
|
| D | tensorflow.optimizers.-nadam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
|
| D | tensorflow.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
|
| D | tensorflow.keras.optimizers.-adam.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'amsgrad\', \'n…
|
| D | tensorflow.optimizers.-adamax.pbtxt | 17 …argspec: "args=[\'self\', \'learning_rate\', \'beta_1\', \'beta_2\', \'epsilon\', \'name\'], varar…
|
| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | keras_optimizer_v2_test.py | 59 optimizer = adam.Adam(learning_rate=0.01, beta_1=0.2, beta_2=0.2)
|
| /external/tensorflow/tensorflow/python/keras/mixed_precision/experimental/ |
| D | loss_scale_optimizer_test.py | 349 opt.beta_1 # pylint: disable=pointless-statement
360 opt.beta_1 # pylint: disable=pointless-statement
|
| /external/tensorflow/tensorflow/python/training/tracking/ |
| D | util_test.py | 1304 self.evaluate(optimizer.beta_1.assign(42.))
1335 optimizer = adam.Adam(0.001, beta_1=1.0)
1356 self.assertEqual(42., self.evaluate(optimizer.beta_1))
1550 self.evaluate(optimizer.beta_1.assign(3.))
1559 self.evaluate(root_trackable.optimizer.beta_1.assign(103.))
1568 self.evaluate(root_trackable.optimizer.beta_1))
|
| /external/speex/libspeexdsp/ |
| D | preprocess.c | 732 spx_word16_t beta, beta_1; in speex_preprocess_run() local
741 beta_1 = Q15_ONE-beta; in speex_preprocess_run()
778 …st->noise[i] = MAX32(EXTEND32(0),MULT16_32_Q15(beta_1,st->noise[i]) + MULT16_32_Q15(beta,SHL32(st-… in speex_preprocess_run()
|
| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/ |
| D | tf_generated_ops.td | 4811 $$\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)$$
4812 $$m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g$$
|