| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | ggt_test.py | 34 g_t, argument
45 m_t = m * beta1 + (1 - beta1) * g_t
107 g_t = opt._get_flat_grad()
110 self.assertTrue(g_t is not None)
113 self.assertIn(g_t, opt_variables)
127 g_t = opt._get_flat_grad()
160 self.evaluate(g_t))
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| D | weight_decay_optimizers_test.py | 37 def adamw_update_numpy(param, g_t, t, m, v, lr=0.001, beta1=0.9, argument
41 m_t = beta1 * m + (1 - beta1) * g_t
42 v_t = beta2 * v + (1 - beta2) * g_t * g_t
49 def momentumw_update_numpy(param, g_t, m, lr=0.001, momentum=0.9, **_): argument
51 m = momentum * m + g_t
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| D | nadam_optimizer_test.py | 33 g_t, argument
43 m_t = beta1 * m + (1 - beta1) * g_t
44 v_t = beta2 * v + (1 - beta2) * g_t * g_t
46 m_bar = (1 - beta1) * g_t + beta1 * m_t
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| D | adamax_test.py | 38 g_t, argument
46 m_t = beta1 * m + (1 - beta1) * g_t
47 v_t = np.maximum(beta2 * v, np.abs(g_t))
54 g_t, argument
63 m_t_slice = beta1 * m[indices] + (1 - beta1) * g_t
64 v_t_slice = np.maximum(beta2 * v[indices], np.abs(g_t))
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| D | addsign_test.py | 42 g_t, argument
49 m_t = beta * m + (1 - beta) * g_t
54 multiplier = alpha + sign_decayed * np.sign(g_t) * np.sign(m_t)
55 params_t = params - lr * multiplier * g_t
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| D | powersign_test.py | 43 g_t, argument
50 m_t = beta * m + (1 - beta) * g_t
55 multiplier = base ** (sign_decayed * np.sign(g_t) * np.sign(m_t))
56 params_t = params - lr * multiplier * g_t
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| D | lazy_adam_optimizer_test.py | 39 g_t, argument
49 m_t = beta1 * m + (1 - beta1) * g_t
50 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| D | adam_gs_optimizer_test.py | 39 g_t, argument
49 m_t = beta1 * m + (1 - beta1) * g_t
50 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| D | lazy_adam_gs_optimizer_test.py | 39 g_t, argument
49 m_t = beta1 * m + (1 - beta1) * g_t
50 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| /external/compiler-rt/lib/tsan/benchmarks/ |
| D | vts_many_threads_bench.cc | 95 pthread_t *g_t = new pthread_t[n_garbage_threads]; in main() local
97 int status = pthread_create(&g_t[i], 0, GarbageThread, NULL); in main()
107 pthread_join(g_t[i], 0); in main()
109 delete [] g_t; in main()
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | addsign_test.py | 40 g_t, argument
47 m_t = beta * m + (1 - beta) * g_t
52 multiplier = alpha + sign_decayed * np.sign(g_t) * np.sign(m_t)
53 params_t = params - lr * multiplier * g_t
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| D | powersign_test.py | 41 g_t, argument
48 m_t = beta * m + (1 - beta) * g_t
53 multiplier = base ** (sign_decayed * np.sign(g_t) * np.sign(m_t))
54 params_t = params - lr * multiplier * g_t
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| D | adam_test.py | 35 g_t, argument
45 m_t = beta1 * m + (1 - beta1) * g_t
46 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| D | adamax_test.py | 34 g_t, argument
42 m_t = beta1 * m + (1 - beta1) * g_t
43 v_t = np.maximum(beta2 * v, np.abs(g_t))
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | nadam_test.py | 50 g_t, argument
63 g_prime_t = g_t / (1 - m_cache)
64 m_t = beta1 * m + (1 - beta1) * g_t
65 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| D | adam_test.py | 39 g_t, argument
49 m_t = beta1 * m + (1 - beta1) * g_t
50 v_t = beta2 * v + (1 - beta2) * g_t * g_t
57 g_t, argument
68 m_t = beta1 * m + (1 - beta1) * g_t
69 v_t = beta2 * v + (1 - beta2) * g_t * g_t
78 g_t, argument
90 m_t_slice = beta1 * m[indices] + (1 - beta1) * g_t
91 v_t_slice = beta2 * v[indices] + (1 - beta2) * g_t * g_t
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| D | adamax_test.py | 37 g_t, argument
45 m_t = beta1 * m + (1 - beta1) * g_t
46 v_t = np.maximum(beta2 * v, np.abs(g_t))
53 g_t, argument
62 m_t_slice = beta1 * m[indices] + (1 - beta1) * g_t
63 v_t_slice = np.maximum(beta2 * v[indices], np.abs(g_t))
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| D | adagrad_test.py | 39 def adagrad_update_numpy(param, accum, g_t, lr=0.001, epsilon=1e-7): argument
40 accum_t = accum + g_t * g_t
41 param_t = param - lr * g_t / (np.sqrt(accum_t) + epsilon)
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| /external/tensorflow/tensorflow/contrib/optimizer_v2/ |
| D | adam_test.py | 38 g_t, argument
48 m_t = beta1 * m + (1 - beta1) * g_t
49 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| /external/tensorflow/tensorflow/python/training/ |
| D | adam_test.py | 38 g_t, argument
48 m_t = beta1 * m + (1 - beta1) * g_t
49 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| D | training_ops_test.py | 300 def _adamUpdateNumpy(self, param, g_t, t, m, v, alpha, beta1, beta2, epsilon): argument
303 m_t = beta1 * m + (1 - beta1) * g_t
304 v_t = beta2 * v + (1 - beta2) * g_t * g_t
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| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| D | constant_folding_test.cc | 2717 auto g_t = GenerateRandomTensor<DT_FLOAT>(TensorShape({1})); in TEST_F() local
2719 EvaluateNodes(item.graph, fetch_nodes, {{"a", a_t}, {"g", g_t}}); in TEST_F()
2763 auto tensors = EvaluateNodes(output, fetch_nodes, {{"a", a_t}, {"g", g_t}}); in TEST_F()
|