Searched refs:add_n (Results 1 – 25 of 59) sorted by relevance
123
| /external/tensorflow/tensorflow/python/grappler/ |
| D | cost_analyzer_test.py | 45 c = math_ops.add_n([a, b], name="c")
46 d = math_ops.add_n([b, c], name="d")
117 c = math_ops.add_n([a, b], name="c")
118 d = math_ops.add_n([b, c], name="d")
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| D | tf_optimizer_test.py | 36 c = math_ops.add_n([a, b], name='c')
37 d = math_ops.add_n([b, c], name='d')
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| D | memory_optimizer_test.py | 46 c = math_ops.add_n([a, b], name='c')
47 d = math_ops.add_n([b, c], name='d')
67 c = math_ops.add_n([a, b], name='c')
68 d = math_ops.add_n([b, c], name='d')
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| D | model_analyzer_test.py | 36 d = math_ops.add_n([a, c], name="d")
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | aggregate_ops_test.py | 62 actual = sess.run(math_ops.add_n(data))
75 actual = sess.run(math_ops.add_n([data_ph] * count), {data_ph: data})
102 result = math_ops.add_n((variant_const_3, variant_const_3,
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | nary_ops_test.py | 57 self._testNAry(math_ops.add_n,
61 self._testNAry(math_ops.add_n,
65 self._testNAry(math_ops.add_n,
74 math_ops.add_n, [np.array([[1 + 2j, 2 - 3j, 3 + 4j]], dtype=dtype)],
78 math_ops.add_n, [
84 math_ops.add_n, [
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| /external/tensorflow/tensorflow/python/ops/losses/ |
| D | util.py | 88 return math_ops.add_n(losses, name=name)
117 return math_ops.add_n(losses, name=name)
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| /external/tensorflow/tensorflow/python/ops/ |
| D | math_ops_test.py | 316 partials.append(math_ops.add_n([constant_op.constant(1)]))
318 math_ops.add_n([constant_op.constant(1),
321 res = math_ops.add_n(partials) + constant_op.constant(0)
331 self.assertAllClose(sum(x), math_ops.add_n(tf_x).eval())
333 math_ops.add_n([tf_x[0]] * num_inputs).eval())
344 self.assertAllEqual(sum(x), math_ops.add_n(tf_x).eval())
346 math_ops.add_n([tf_x[0]] * num_inputs).eval())
356 addn = math_ops.add_n(input_vars)
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| D | accumulate_n_benchmark.py | 100 add_n = math_ops.add_n(inputs)
105 test_ops = (("AddN", add_n.op),
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | regularizers.py | 160 return math_ops.add_n(regularizer_tensors, name=name)
202 summed_penalty = math_ops.add_n(penalties, name=scope)
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| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| D | multi_head.py | 146 return math_ops.add_n(weighted_losses)
219 merged_training_loss = math_ops.add_n(head_weighted_training_losses)
221 merged_training_loss = math_ops.add_n(training_losses)
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| D | head.py | 476 regularization_loss = math_ops.add_n(regularization_losses)
477 regularized_training_loss = math_ops.add_n(
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| /external/tensorflow/tensorflow/contrib/all_reduce/python/ |
| D | all_reduce_test.py | 150 simple_sum = math_ops.add_n(input_tensors)
153 sum_reduced = math_ops.add_n(output_tensors)
185 x, gather_devices, math_ops.add_n, un_op)
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| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| D | gmm_ops.py | 78 num_data = math_ops.add_n([array_ops.shape(inp)[0] for inp in data])
400 math_ops.add_n(self._points_in_k), squeeze_dims=[0])
417 math_ops.add_n(self._w_mul_x), points_in_k_expanded + MEPS))
424 b = math_ops.add_n(self._w_mul_x2) / (points_in_k_expanded + MEPS)
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| D | clustering_ops.py | 533 new_clusters_centers = math_ops.add_n(cluster_sums) / (
534 math_ops.cast(math_ops.add_n(cluster_counts), cluster_sums[0].dtype) +
600 self._num_data = math_ops.add_n(
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
| D | parallel_reader.py | 178 return math_ops.add_n(num_records, name=name)
190 return math_ops.add_n(num_work_units, name=name)
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| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| D | sdca_ops.py | 215 return self._options['symmetric_l1_regularization'] * math_ops.add_n(sums)
228 return l2 * math_ops.add_n(sums) / 2.0
420 summed_values = math_ops.add_n(shard_sums)
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| /external/tensorflow/tensorflow/python/eager/ |
| D | pywrap_tfe_test.py | 82 math_ops.add_n([a_2_by_2, b_2_by_2]),
101 z2 = math_ops.add_n([a_2_by_2, b_2_by_2])
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| /external/tensorflow/tensorflow/python/estimator/canned/ |
| D | head.py | 763 regularization_loss = math_ops.add_n(regularization_losses)
764 regularized_training_loss = math_ops.add_n(
1102 regularization_loss = math_ops.add_n(regularization_losses)
1103 regularized_training_loss = math_ops.add_n(
1312 regularization_loss = math_ops.add_n(regularization_losses)
1313 regularized_training_loss = math_ops.add_n(
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| /external/tensorflow/tensorflow/contrib/integrate/python/ops/ |
| D | odes.py | 75 return math_ops.add_n(
84 return math_ops.add_n([x * y for x, y in zip(xs, ys)], name=scope)
575 return math_ops.add_n([k1, 2 * k2, 2 * k3, k4]) * (dt_cast / 6)
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_AccumulateNV2.pbtxt | 17 `tf.accumulate_n_v2` performs the same operation as `tf.add_n`, but does not
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| /external/tensorflow/tensorflow/contrib/framework/python/ops/ |
| D | accumulate_n_v2.py | 101 return math_ops.add_n(inputs, name=name)
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | mixture.py | 255 return math_ops.add_n(partial_means)
485 return math_ops.add_n(partial_entropies)
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
| D | seq2seq_ops.py | 55 xent = math_ops.add_n(xent_list, name="sequence_loss/xent")
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| /external/tensorflow/tensorflow/contrib/kfac/python/ops/ |
| D | curvature_matrix_vector_products.py | 74 return math_ops.add_n(tuple(loss.evaluate() for loss in self._losses))
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