| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | nadam_optimizer_test.py | 38 beta1=0.9, argument
41 alpha_t = alpha * np.sqrt(1 - beta2**t) / (1 - beta1**t)
43 m_t = beta1 * m + (1 - beta1) * g_t
46 m_bar = (1 - beta1) * g_t + beta1 * m_t
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| D | lazy_adam_optimizer_test.py | 40 beta1=0.9, argument
43 alpha_t = alpha * np.sqrt(1 - beta2**t) / (1 - beta1**t)
45 m_t = beta1 * m + (1 - beta1) * g_t
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResourceApplyAdam.pbtxt | 40 name: "beta1"
79 lr_t <- learning_rate * sqrt(1 - beta2^t) / (1 - beta1^t)
80 m_t <- beta1 * m_{t-1} + (1 - beta1) * g_t
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| D | api_def_ApplyAdam.pbtxt | 40 name: "beta1"
85 lr_t <- learning_rate * sqrt(1 - beta2^t) / (1 - beta1^t)
86 m_t <- beta1 * m_{t-1} + (1 - beta1) * g_t
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| D | api_def_ResourceApplyPowerSign.pbtxt | 55 m_t <- beta1 * m_{t-1} + (1 - beta1) * g
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| D | api_def_ResourceApplyAddSign.pbtxt | 55 m_t <- beta1 * m_{t-1} + (1 - beta1) * g
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| D | api_def_ApplyAddSign.pbtxt | 61 m_t <- beta1 * m_{t-1} + (1 - beta1) * g
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| D | api_def_ApplyPowerSign.pbtxt | 61 m_t <- beta1 * m_{t-1} + (1 - beta1) * g
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| /external/tensorflow/tensorflow/python/training/ |
| D | training_ops_test.py | 265 beta1 = np.array(0.9, dtype=var.dtype)
267 beta1_power = beta1**t
271 beta1_t = constant_op.constant(beta1, self._toType(var.dtype), [])
280 new_var, _, _ = self._adamUpdateNumpy(var, grad, t, m, v, lr, beta1,
289 def _adamUpdateNumpy(self, param, g_t, t, m, v, alpha, beta1, beta2, epsilon): argument
290 alpha_t = alpha * np.sqrt(1 - beta2**t) / (1 - beta1**t)
292 m_t = beta1 * m + (1 - beta1) * g_t
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| D | adam_test.py | 43 beta1=0.9, argument
46 alpha_t = alpha * np.sqrt(1 - beta2**t) / (1 - beta1**t)
48 m_t = beta1 * m + (1 - beta1) * g_t
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| D | adam.py | 40 def __init__(self, learning_rate=0.001, beta1=0.9, beta2=0.999, epsilon=1e-8, argument
95 self._beta1 = beta1
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | adam_test.py | 39 beta1=0.9, argument
42 alpha_t = alpha * np.sqrt(1 - beta2**t) / (1 - beta1**t)
44 m_t = beta1 * m + (1 - beta1) * g_t
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | training_ops_gpu.cu.cc | 109 typename TTypes<T>::ConstScalar beta1, in operator ()()
118 m + (beta1.constant(one) - beta1).reshape(single).broadcast(bcast) * in operator ()()
130 (m * beta1.reshape(single).broadcast(bcast) + in operator ()()
131 (beta1.constant(one) - beta1).reshape(single).broadcast(bcast) * in operator ()()
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| D | training_ops_test.cc | 175 auto beta1 = Scalar(g, 0.9); in Adam() local
181 {var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad}); in Adam()
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| D | training_ops.cc | 290 typename TTypes<T>::ConstScalar beta1, in operator ()()
301 m.device(d) += (grad - m) * (T(1) - beta1()); in operator ()()
304 var.device(d) -= ((grad * (T(1) - beta1()) + beta1() * m) * alpha) / in operator ()()
317 T beta1_power, T beta2_power, T lr, T beta1, T beta2, in operator ()()
321 m.device(d) += (grad - m) * (T(1) - beta1); in operator ()()
2517 const Tensor& beta1 = ctx->input(6); in Compute() local
2530 OP_REQUIRES(ctx, TensorShapeUtils::IsScalar(beta1.shape()), in Compute()
2532 beta1.shape().DebugString())); in Compute()
2559 beta1.scalar<T>(), beta2.scalar<T>(), epsilon.scalar<T>(), in Compute()
2614 T beta1 = 0; in Compute() local
[all …]
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| D | training_ops.h | 136 typename TTypes<T>::ConstScalar beta1,
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| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | gamma_test.py | 377 beta1 = np.array([0.5, 1., 1.5, 2., 2.5, 3.])
382 g1 = gamma_lib.Gamma(concentration=alpha1, rate=beta1)
398 - alpha1 * np.log(beta1)
399 + alpha0 * (beta1 / beta0 - 1.))
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| D | beta_test.py | 291 beta1 = beta_lib.Beta(concentration1=a_val,
294 samples1 = beta1.sample(n_val, seed=123456).eval()
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| /external/libusb-compat/ |
| D | NEWS | 24 2008-05-25: libusb-compat-0.1.0-beta1 release
|
| D | ChangeLog | 132 v0.1.0-beta1 release
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| /external/tensorflow/tensorflow/tools/api/golden/ |
| D | tensorflow.train.-adam-optimizer.pbtxt | 22 …argspec: "args=[\'self\', \'learning_rate\', \'beta1\', \'beta2\', \'epsilon\', \'use_locking\', \…
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| /external/syslinux/com32/lib/libpng/ |
| D | CHANGES | 833 version 1.0.8beta1 [July 8, 2000]
859 version 1.0.9beta1 [November 10, 2000]
930 version 1.0.10beta1 [March 14, 2001]
952 version 1.0.11beta1 [April 3, 2001]
969 version 1.0.12beta1 [May 14, 2001]
977 version 1.2.0beta1 [May 6, 2001]
984 Finished merging 1.2.0beta1 with version 1.0.11
1019 version 1.2.1beta1 [October 19, 2001]
1052 version 1.2.2beta1 [February 22, 2002]
1093 version 1.0.13beta1 [March 31, 2002]
[all …]
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| /external/libjpeg-turbo/ |
| D | ChangeLog.md | 56 3. Fixed a regression introduced by 1.5 beta1[11] that prevented the Java
113 regression introduced by 1.5 beta1[12].
210 ### Significant changes relative to 1.5 beta1:
248 1.4.90 (1.5 beta1)
475 ### Significant changes relative to 1.4 beta1:
490 on ARM64 platforms (see 1.4 beta1[5].)
511 9. Referring to 1.4 beta1[15], another extremely rare circumstance was
544 1.3.90 (1.4 beta1)
711 ### Significant changes relative to 1.3 beta1:
745 1.2.90 (1.3 beta1)
[all …]
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | training_ops.cc | 219 xla::ComputationDataHandle beta1 = ctx->Input(6); in Compile() local
237 m = b->Add(m, b->Mul(b->Sub(grad, m), b->Sub(one, beta1))); in Compile()
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| /external/aac/libSACdec/src/ |
| D | sac_reshapeBBEnv.cpp | 366 FIXP_DBL beta1 = ((FIXP_DBL)MAXVAL_DBL - beta) << SF_BETA1; in extractBBEnv() local
533 normNrg = ((fMultDiv2(beta1, env) >> scaleCur) + in extractBBEnv()
|