Searched refs:assign_add (Results 1 – 25 of 141) sorted by relevance
123456
101 tf.assign_add(a, 1)103 tf.assign_add(a, 1)112 with self.compiled(node, {}, state_ops.assign_add) as result:146 tf.assign_add(a, 1)156 state_ops.assign_add) as result:
390 inc_v_1 = state_ops.assign_add(v_1, delta_1, name="inc_v_1")391 inc_v_2 = state_ops.assign_add(v_2, delta_2, name="inc_v_2")463 inc_v_1 = state_ops.assign_add(v_1, toggled_1, name="inc_v_1")464 inc_v_2 = state_ops.assign_add(v_2, toggled_2, name="inc_v_2")498 inc_v = state_ops.assign_add(v, delta, name="inc_v")543 inc_v_1 = state_ops.assign_add(v_1, delta_1, name="inc_v_1")544 inc_v_2 = state_ops.assign_add(v_2, delta_2, name="inc_v_2")601 inc_v_1 = state_ops.assign_add(v_1, delta_1, name="inc_v_1")602 inc_v_2 = state_ops.assign_add(v_2, delta_2, name="inc_v_2")674 inc_v_1 = state_ops.assign_add(v_1, delta_1, name="inc_v_1")[all …]
278 do_step = state_ops.assign_add(gstep, 1)293 new_gstep = state_ops.assign_add(gstep, 1)310 new_gstep = state_ops.assign_add(gstep, 1)329 new_gstep = state_ops.assign_add(gstep, 1)347 new_gstep = state_ops.assign_add(gstep, 1)369 do_step = state_ops.assign_add(gstep, 1)418 new_gstep = state_ops.assign_add(gstep, 1)439 new_gstep = state_ops.assign_add(gstep, 1)459 new_gstep = state_ops.assign_add(gstep, 1)479 new_gstep = state_ops.assign_add(gstep, 1)[all …]
189 eval_ops = state_ops.assign_add(my_var, 1.0)217 eval_ops = [state_ops.assign_add(my_var, 1.0),218 state_ops.assign_add(
152 added = state_ops.assign_add(var, [[2.0, 3.0]])160 added = state_ops.assign_add(var, [[2.0, 3.0]])168 added = state_ops.assign_add(var, self._NewShapelessTensor())176 added = state_ops.assign_add(var, self._NewShapelessTensor())187 var = state_ops.assign_add(var, [[6.0, 7.0]])246 increment = state_ops.assign_add(var, [1.0])
40 state_ops.assign_add(100 state_ops.assign_add(
42 op = v.assign_add(x)189 v.assign_add(1, name='increment', read_value=False)201 v.assign_add(232 v0.assign_add(1, name='increment_v0')233 v1.assign_add(1, name='increment_v1')335 return v.assign_add(x)379 return v.assign_add(x)
508 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)527 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)540 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)554 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)567 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)583 state_ops.assign_add(variables_lib.get_global_step(), 1),584 state_ops.assign_add(loss_var, -1.0))603 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)629 train_op = state_ops.assign_add(variables_lib.get_global_step(), 1)655 train_op = state_ops.assign_add(global_step, 1)
266 tensor = state_ops.assign_add(var, 1.0)531 assign_add = state_ops.assign_add(counter_var, 1.0, name='my_assign_add')539 assign_add.name: step + 1.0,549 assign_add.name: step + 31.0,558 assign_add.name: (step + 31.0, step + 1.0),564 assign_add.name: (step + 1.0, step + 31.0),574 state_ops.assign_add(var, 1.0, name='my_assign_add')624 self.train_op = state_ops.assign_add(self.global_step, 1)788 inc_5 = state_ops.assign_add(global_step_tensor, 5)
256 self._vars[i].assign_add(math_ops.add_n([m._vars[i] for m in metrics]))327 self.denom.assign_add(330 self.numer.assign_add(math_ops.cast(values, self.dtype))333 self.denom.assign_add(math_ops.reduce_sum(weights))335 self.numer.assign_add(math_ops.reduce_sum(values))
165 self.assertAllClose(3.14 * 2, self.evaluate(x.assign_add(v1)))176 self.evaluate(x.assign_add(v2))184 self.assertAllClose(3.14 * 2, self.evaluate(x.assign_add(3.14)))219 self.evaluate(x.assign_add(small_tensor)))
120 def assign_add(self, delta, use_locking=None, name=None, read_value=True): member in AutoCastVariable121 return self._variable.assign_add(
65 update_global_step = training_util.get_global_step().assign_add(1)105 update_global_step = training_util.get_global_step().assign_add(1)146 update_global_step = training_util.get_global_step().assign_add(1)
137 state_ops.assign_add(var0, [1.0, 1.0]),138 state_ops.assign_add(var1, [2.0, 2.0]),139 state_ops.assign_add(ema_var0, [3.0, 3.0]),140 state_ops.assign_add(ema_var1, [4.0, 4.0])
173 update_ops.append(state_ops.assign_add(grad_var, g))193 update_ops.append(state_ops.assign_add(global_step, 1))204 local_update = state_ops.assign_add(
183 x_add = x.assign_add(c)199 y_add = y.assign_add(array_ops.identity(x_add))213 z_add = z.assign_add(array_ops.identity(y))280 x_add = x.assign_add(a, name='x_add')339 x_add = x.assign_add(c)353 y_add = y.assign_add(array_ops.identity(x_add))368 z_add = z.assign_add(array_ops.identity(y))434 x_add = x.assign_add(one, use_locking=True)435 y_add = y.assign_add(one, use_locking=True)436 z_add = z.assign_add(one, use_locking=True)
177 lambda: state_ops.assign_add(self._num_good_steps, 1).op)192 state_ops.assign_add(self._num_bad_steps, 1),
276 update_op = state_ops.assign_add(total_cm, current_cm)378 update_total_op = state_ops.assign_add(total, math_ops.reduce_sum(values))380 update_count_op = state_ops.assign_add(count, num_values)580 update_ops['tp'] = state_ops.assign_add(true_p,592 update_ops['fn'] = state_ops.assign_add(false_n,604 update_ops['tn'] = state_ops.assign_add(true_n,616 update_ops['fp'] = state_ops.assign_add(false_p,1374 update_total_op = state_ops.assign_add(total, values)1376 update_count_op = state_ops.assign_add(count, num_values)1486 update_op = state_ops.assign_add(count, math_ops.reduce_sum(values))[all …]
166 def assign_add(ref, value, use_locking=None, name=None): function189 return gen_state_ops.assign_add(191 return ref.assign_add(value)
98 mean_var = state_ops.assign_add(173 return log_mean_exp_var.assign_add(x)
50 self.inc_v = state_ops.assign_add(self.v, self.delta, name="inc_v")51 self.dec_v = state_ops.assign_add(self.v, self.eta, name="dec_v")
187 self.updates = [state_ops.assign_add(self.iterations, 1)]259 self.updates = [state_ops.assign_add(self.iterations, 1)]327 self.updates = [state_ops.assign_add(self.iterations, 1)]401 self.updates = [state_ops.assign_add(self.iterations, 1)]488 with ops.control_dependencies([state_ops.assign_add(self.iterations, 1)]):579 with ops.control_dependencies([state_ops.assign_add(self.iterations, 1)]):659 with ops.control_dependencies([state_ops.assign_add(self.iterations, 1)]):749 self.updates = [state_ops.assign_add(self.iterations, 1)]
179 for (Node* assign_add : add_values_to_accumulator) { in rewriteNode()180 g->AddControlEdge(assign_add, clean_up_accumulator); in rewriteNode()
42 sum_update = sum_metric.assign_add(scalar_tensor)167 incr_step = state_ops.assign_add(training_util.get_global_step(), 1)
793 update_ops['tp'] = state_ops.assign_add(true_positives,805 update_ops['fn'] = state_ops.assign_add(false_negatives,817 update_ops['tn'] = state_ops.assign_add(true_negatives,829 update_ops['fp'] = state_ops.assign_add(false_positives,3218 update_count = state_ops.assign_add(count_, batch_count) # n_AB in eqn3227 update_mean_prediction = state_ops.assign_add(mean_prediction,3237 update_mean_label = state_ops.assign_add(mean_label, delta_mean_label)3257 update_comoment = state_ops.assign_add(comoment, delta_comoment)3781 update_count_op = state_ops.assign_add(count_, num_values)3890 update_po = state_ops.assign_add(po, po_t)[all …]