| /external/tensorflow/tensorflow/core/kernels/ |
| training_ops_test.cc | 175 auto beta1 = Scalar(g, 0.9); local
181 {var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad});
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| training_ops.cc | 290 typename TTypes<T>::ConstScalar beta1,
296 // beta1 == ?
301 m.device(d) += (grad - m) * (T(1) - beta1());
304 var.device(d) -= ((grad * (T(1) - beta1()) + beta1() * m) * alpha) /
317 T beta1_power, T beta2_power, T lr, T beta1, T beta2,
321 m.device(d) += (grad - m) * (T(1) - beta1);
2517 const Tensor& beta1 = ctx->input(6); variable
2614 T beta1 = 0; variable
[all...] |
| /external/aac/libSACdec/src/ |
| sac_reshapeBBEnv.cpp | 365 /*FIXP_DBL beta1 = (FL2FXCONST_DBL(1.0f) - beta) << SF_BETA1;*/
366 FIXP_DBL beta1 = ((FIXP_DBL)MAXVAL_DBL - beta) << SF_BETA1; local
533 normNrg = ((fMultDiv2(beta1, env) >> scaleCur) +
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| training_ops.cc | 194 errors::InvalidArgument("beta1 is not a scalar: ",
219 xla::ComputationDataHandle beta1 = ctx->Input(6); variable
224 // alpha <- learning_rate * sqrt(1 - beta2^t) / (1 - beta1^t)
225 // m_t <- beta1 * m_{t-1} + (1 - beta1) * g_t
237 m = b->Add(m, b->Mul(b->Sub(grad, m), b->Sub(one, beta1)));
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| /external/opencv/cv/src/ |
| cvsurf.cpp | 423 float alpha1 = (alpha0 - beta0)*sqrt_2*0.5f, beta1 = (alpha0 + beta0)*sqrt_2*0.5f; local
430 a = alpha1, b = beta1;
432 a = -beta1, b = alpha1;
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