/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | adam.py | 188 vhat = self.get_slot(var, 'vhat') 193 vhat=vhat.handle, 434 vhat = self.get_slot(var, 'vhat') 435 vhat.assign(math_ops.maximum(vhat, v)) 436 v = vhat
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D | adam_test.py | 61 vhat, argument 70 vhat_t = np.maximum(vhat, v_t) 82 vhat, argument 87 m_t, v_t, vhat_t, param_t = (np.copy(m), np.copy(v), np.copy(vhat),
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
D | ResourceApplyAdamWithAmsgrad.pbtxt | 16 name: "vhat"
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
D | ResourceApplyAdamWithAmsgrad.pbtxt | 16 name: "vhat"
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_ResourceApplyAdamWithAmsgrad.pbtxt | 22 name: "vhat"
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/external/tensorflow/tensorflow/python/keras/ |
D | optimizer_v1.py | 528 for p, g, m, v, vhat in zip(params, grads, ms, vs, vhats): 532 vhat_t = math_ops.maximum(vhat, v_t) 534 self.updates.append(state_ops.assign(vhat, vhat_t))
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/external/tensorflow/tensorflow/core/kernels/ |
D | training_ops_gpu.cu.cc | 904 typename TTypes<T>::Flat vhat, in operator ()() 922 vhat.device(d) = vhat.cwiseMax(v); in operator ()() 929 (epsilon.reshape(single).broadcast(bcast) + vhat.sqrt()); in operator ()()
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D | training_ops.h | 239 typename TTypes<T>::Flat vhat,
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D | training_ops.cc | 826 typename TTypes<T>::Flat vhat, in operator ()() 839 vhat.device(d) = vhat.cwiseMax(v); in operator ()() 840 var.device(d) -= (m * alpha) / (vhat.sqrt() + epsilon()); in operator ()() 3678 Tensor vhat; in Compute() local 3680 ctx, 3, use_exclusive_lock_, sparse, &vhat)); in Compute() 3694 ctx, vhat.IsInitialized(), in Compute() 3741 device, var.flat<T>(), m.flat<T>(), v.flat<T>(), vhat.flat<T>(), in Compute() 3777 typename TTypes<T>::Flat vhat, \
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/external/python/cpython3/Modules/_decimal/libmpdec/ |
D | mpdecimal.c | 7704 _invroot_init_approx(mpd_t *z, mpd_uint_t vhat) in _invroot_init_approx() argument 7710 assert(lo*lo <= vhat && vhat < (hi+1)*(hi+1)); in _invroot_init_approx() 7715 if (vhat >= sq) { in _invroot_init_approx() 7716 if (vhat < sq + 2*a + 1) { in _invroot_init_approx() 7768 mpd_uint_t vhat, dummy; in _mpd_qinvroot() local 7788 _mpd_get_msdigits(&dummy, &vhat, v, n); in _mpd_qinvroot() 7790 vhat *= mpd_pow10[7-n]; in _mpd_qinvroot() 7798 _mpd_get_msdigits(&dummy, &vhat, v, n); in _mpd_qinvroot() 7800 vhat *= mpd_pow10[8-n]; in _mpd_qinvroot() 7806 _invroot_init_approx(z, vhat); in _mpd_qinvroot()
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/external/tensorflow/tensorflow/python/ops/numpy_ops/g3doc/ |
D | TensorFlow_NumPy_Text_Generation.ipynb | 880 " vhat = v / (1 - b2 ** (step + 1)) \n", 881 " weights_var.assign_sub((lr * mhat / (tnp.sqrt(vhat) + eps)).astype(weights.dtype))\n",
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.raw_ops.pbtxt | 3565 …argspec: "args=[\'var\', \'m\', \'v\', \'vhat\', \'beta1_power\', \'beta2_power\', \'lr\', \'beta1…
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.raw_ops.pbtxt | 3565 …argspec: "args=[\'var\', \'m\', \'v\', \'vhat\', \'beta1_power\', \'beta2_power\', \'lr\', \'beta1…
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/external/tensorflow/tensorflow/go/op/ |
D | wrappers.go | 22461 func ResourceApplyAdamWithAmsgrad(scope *Scope, var_ tf.Output, m tf.Output, v tf.Output, vhat tf.O… 22472 var_, m, v, vhat, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad,
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/external/tensorflow/tensorflow/core/ops/ |
D | ops.pbtxt | 38019 name: "vhat"
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/external/tensorflow/tensorflow/core/ops/compat/ |
D | ops_history.v2.pbtxt | 55540 name: "vhat"
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