Searched refs:to_int64 (Results 1 – 25 of 27) sorted by relevance
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/external/tensorflow/tensorflow/contrib/layers/python/ops/ |
D | sparse_feature_cross_op.py | 89 values[i] = math_ops.to_int64(values[i]) 93 dense_inputs[i] = math_ops.to_int64(dense_inputs[i])
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/external/tensorflow/tensorflow/python/feature_column/ |
D | feature_column.py | 2115 indices=math_ops.to_int64(input_tensor), 2144 indices = math_ops.to_int64(array_ops.transpose(array_ops.stack((i1, i2)))) 2145 dense_shape = math_ops.to_int64(array_ops.stack( 2494 input_tensor = math_ops.to_int64(input_tensor) 2546 input_tensor = math_ops.to_int64(input_tensor) 2589 values = math_ops.to_int64(input_tensor.values, name='values') 2590 num_buckets = math_ops.to_int64(self.num_buckets, name='num_buckets') 2591 zero = math_ops.to_int64(0, name='zero') 2609 value=math_ops.to_int64(self.default_value),
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/external/tensorflow/tensorflow/python/ops/ |
D | sparse_grad.py | 115 scale = sp_shape // math_ops.to_int64(output_shape_kept_dims) 189 y_shape = math_ops.to_int64(array_ops.shape(y))
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D | metrics_impl.py | 247 predictions = math_ops.to_int64(predictions) 248 labels = math_ops.to_int64(labels) 249 num_classes = math_ops.to_int64(num_classes) 900 labels = math_ops.to_int64(labels) 2113 math_ops.to_int64(selected_id)) 2483 top_k_idx = math_ops.to_int64(predictions_idx) 2881 predictions_idx = math_ops.to_int64(predictions_idx, name='predictions_idx') 3282 top_k_idx = math_ops.to_int64(predictions_idx) 3519 indices_at_minval = math_ops.to_int64(indices_at_minval)
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D | lookup_ops.py | 862 values = math_ops.to_int64(values) 1097 values = math_ops.to_int64(math_ops.range(num_elements)) 1101 table_keys = math_ops.to_int64(keys) if keys.dtype.is_integer else keys 1275 keys = math_ops.to_int64(math_ops.range(num_elements))
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D | data_flow_ops.py | 1235 math_ops.to_int64(ops.convert_to_tensor(new_global_step)), 1287 local_step = math_ops.to_int64(ops.convert_to_tensor(local_step)) 1410 local_step = math_ops.to_int64(ops.convert_to_tensor(local_step)) 1414 gradient_indices=math_ops.to_int64(grad_indices), 1416 gradient_shape=math_ops.to_int64([]
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D | confusion_matrix.py | 193 indices=indices, values=values, dense_shape=math_ops.to_int64(shape))
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D | sparse_ops.py | 428 values[i] = math_ops.to_int64(values[i]) 432 dense_inputs[i] = math_ops.to_int64(dense_inputs[i])
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D | math_ops.py | 871 def to_int64(x, name="ToInt64"): function 1439 to_int64(gen_math_ops.not_equal(input_tensor, zero)),
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D | tensor_array_ops.py | 365 lengths_64 = math_ops.to_int64(lengths)
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/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
D | mnist.py | 96 labels = tf.to_int64(labels)
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/external/tensorflow/tensorflow/docs_src/api_guides/python/ |
D | array_ops.md | 18 * @{tf.to_int64}
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/external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
D | head.py | 369 return math_ops.to_int64( 385 return math_ops.to_int64(
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/external/tensorflow/tensorflow/contrib/losses/python/metric_learning/ |
D | metric_loss_ops.py | 548 math_ops.to_int64(math_ops.range(array_ops.shape(centroid_ids)[0]))) 848 math_ops.to_int64(predictions), math_ops.to_int64(iteration))
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/external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
D | lstm_ops.py | 685 max_seq_len = math_ops.to_int64(time_len) 687 max_seq_len = math_ops.to_int64(math_ops.reduce_max(sequence_length))
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
D | losses.py | 68 labels = math_ops.to_int64(labels)
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/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/ |
D | beam_search_decoder.py | 560 add_mask = math_ops.to_int64(math_ops.logical_not(previously_finished)) 620 lengths_to_add = math_ops.to_int64(math_ops.logical_not(previously_finished))
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/external/tensorflow/tensorflow/contrib/crf/python/ops/ |
D | crf.py | 211 offsets = math_ops.to_int64(offsets)
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/external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
D | tfexample_decoder.py | 331 ids = math_ops.to_int64(indices.values)
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | feature_column.py | 2105 math_ops.to_int64(input_tensor), 2137 indices = math_ops.to_int64(array_ops.transpose(array_ops.stack((i1, i2)))) 2138 shape = math_ops.to_int64(array_ops.stack([batch_size, dimension]))
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/external/tensorflow/tensorflow/contrib/training/python/training/ |
D | sequence_queueing_state_saver.py | 1622 padded_shape = array_ops.concat([[math_ops.to_int64(padded_length)], 1836 idx_batch = math_ops.to_int64(
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/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
D | clustering_ops.py | 620 math_ops.to_int64(self._num_remaining), self._random_seed,
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | head.py | 1199 return math_ops.to_int64( 1385 math_ops.to_int64(
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D | estimator_test.py | 223 math_ops.to_int64(features['feature']))
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/external/tensorflow/tensorflow/python/keras/_impl/keras/ |
D | backend.py | 4444 math_ops.to_int64(indices), vals_sparse, math_ops.to_int64(label_shape))
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