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/external/tensorflow/tensorflow/contrib/layers/python/ops/
Dsparse_feature_cross_op.py89 values[i] = math_ops.to_int64(values[i])
93 dense_inputs[i] = math_ops.to_int64(dense_inputs[i])
/external/tensorflow/tensorflow/python/feature_column/
Dfeature_column.py2115 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),
/external/tensorflow/tensorflow/python/ops/
Dsparse_grad.py115 scale = sp_shape // math_ops.to_int64(output_shape_kept_dims)
189 y_shape = math_ops.to_int64(array_ops.shape(y))
Dmetrics_impl.py247 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)
Dlookup_ops.py862 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))
Ddata_flow_ops.py1235 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([]
Dconfusion_matrix.py193 indices=indices, values=values, dense_shape=math_ops.to_int64(shape))
Dsparse_ops.py428 values[i] = math_ops.to_int64(values[i])
432 dense_inputs[i] = math_ops.to_int64(dense_inputs[i])
Dmath_ops.py871 def to_int64(x, name="ToInt64"): function
1439 to_int64(gen_math_ops.not_equal(input_tensor, zero)),
Dtensor_array_ops.py365 lengths_64 = math_ops.to_int64(lengths)
/external/tensorflow/tensorflow/examples/tutorials/mnist/
Dmnist.py96 labels = tf.to_int64(labels)
/external/tensorflow/tensorflow/docs_src/api_guides/python/
Darray_ops.md18 * @{tf.to_int64}
/external/tensorflow/tensorflow/contrib/estimator/python/estimator/
Dhead.py369 return math_ops.to_int64(
385 return math_ops.to_int64(
/external/tensorflow/tensorflow/contrib/losses/python/metric_learning/
Dmetric_loss_ops.py548 math_ops.to_int64(math_ops.range(array_ops.shape(centroid_ids)[0])))
848 math_ops.to_int64(predictions), math_ops.to_int64(iteration))
/external/tensorflow/tensorflow/contrib/rnn/python/ops/
Dlstm_ops.py685 max_seq_len = math_ops.to_int64(time_len)
687 max_seq_len = math_ops.to_int64(math_ops.reduce_max(sequence_length))
/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/
Dlosses.py68 labels = math_ops.to_int64(labels)
/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/
Dbeam_search_decoder.py560 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))
/external/tensorflow/tensorflow/contrib/crf/python/ops/
Dcrf.py211 offsets = math_ops.to_int64(offsets)
/external/tensorflow/tensorflow/contrib/slim/python/slim/data/
Dtfexample_decoder.py331 ids = math_ops.to_int64(indices.values)
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dfeature_column.py2105 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]))
/external/tensorflow/tensorflow/contrib/training/python/training/
Dsequence_queueing_state_saver.py1622 padded_shape = array_ops.concat([[math_ops.to_int64(padded_length)],
1836 idx_batch = math_ops.to_int64(
/external/tensorflow/tensorflow/contrib/factorization/python/ops/
Dclustering_ops.py620 math_ops.to_int64(self._num_remaining), self._random_seed,
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
Dhead.py1199 return math_ops.to_int64(
1385 math_ops.to_int64(
Destimator_test.py223 math_ops.to_int64(features['feature']))
/external/tensorflow/tensorflow/python/keras/_impl/keras/
Dbackend.py4444 math_ops.to_int64(indices), vals_sparse, math_ops.to_int64(label_shape))

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