| /external/tensorflow/tensorflow/python/ops/ |
| rnn_cell_impl.py | [all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| metrics_test.py | 612 predictions = ops.convert_to_tensor([1, 1, 1]) # shape 3,
613 labels = array_ops.expand_dims(ops.convert_to_tensor([1, 0, 0]),
615 weights = array_ops.expand_dims(ops.convert_to_tensor([100, 1, 1]),
629 predictions = ops.convert_to_tensor([1, 1, 1]) # shape 3,
630 labels = array_ops.expand_dims(ops.convert_to_tensor([1, 0, 0]),
[all...] |
| array_ops_test.py | 62 matrix = ops.convert_to_tensor(m)
[all...] |
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| layers_conv_variational.py | 239 inputs = ops.convert_to_tensor(inputs, dtype=self.dtype)
[all...] |
| /external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| metric_ops_test.py | 580 predictions = ops.convert_to_tensor([1, 1, 1]) # shape 3,
581 labels = array_ops.expand_dims(ops.convert_to_tensor([1, 0, 0]),
583 weights = array_ops.expand_dims(ops.convert_to_tensor([100, 1, 1]),
598 predictions = ops.convert_to_tensor([1, 1, 1]) # shape 3,
599 labels = array_ops.expand_dims(ops.convert_to_tensor([1, 0, 0]),
[all...] |
| /external/tensorflow/tensorflow/python/feature_column/ |
| feature_column.py | [all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers_test.py | [all...] |
| /external/tensorflow/tensorflow/python/estimator/ |
| estimator_test.py | [all...] |
| /external/tensorflow/tensorflow/python/framework/ |
| ops.py | 891 @tf_export("convert_to_tensor")
892 def convert_to_tensor(value, dtype=None, name=None, preferred_dtype=None): function
903 arg = tf.convert_to_tensor(arg, dtype=tf.float32)
[all...] |
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| backend.py | 515 return ops.convert_to_tensor(x, dtype=dtype)
[all...] |
