| /external/tensorflow/tensorflow/python/ops/ |
| parsing_ops.py | 678 default_value = ops.convert_to_tensor(
686 default_value = ops.convert_to_tensor(
694 default_value = ops.convert_to_tensor(
803 serialized = ops.convert_to_tensor(serialized)
818 names = ops.convert_to_tensor(names)
[all...] |
| /external/tensorflow/tensorflow/contrib/seq2seq/python/ops/ |
| beam_search_decoder.py | 78 t = ops.convert_to_tensor(t, name="t")
213 self._start_tokens = ops.convert_to_tensor(
217 self._end_token = ops.convert_to_tensor(
571 time = ops.convert_to_tensor(time, name="time")
577 next_beam_size = ops.convert_to_tensor(
693 penalty_factor = ops.convert_to_tensor(penalty_factor, name="penalty_factor")
|
| helper.py | 186 inputs = ops.convert_to_tensor(inputs, name="inputs")
192 self._sequence_length = ops.convert_to_tensor(
289 self._sampling_probability = ops.convert_to_tensor(
388 self._sampling_probability = ops.convert_to_tensor(
398 inputs = ops.convert_to_tensor(inputs, name="inputs")
399 auxiliary_inputs = ops.convert_to_tensor(
518 self._start_tokens = ops.convert_to_tensor(
520 self._end_token = ops.convert_to_tensor(
644 self._start_inputs = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| batching.py | 113 tensor_batch_size = ops.convert_to_tensor(
354 self._batch_size = ops.convert_to_tensor(
356 self._num_parallel_batches = ops.convert_to_tensor(
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| stats_ops.py | 159 self._tag = ops.convert_to_tensor(tag, dtype=dtypes.string)
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| bucket_ops.py | 185 bucket_batch_size = ops.convert_to_tensor(
194 which_bucket = ops.convert_to_tensor(
386 input_length = ops.convert_to_tensor(
|
| sampling_ops.py | 194 labels = ops.convert_to_tensor(labels)
195 target_probs = ops.convert_to_tensor(target_probs, dtype=dtypes.float32)
209 init_probs = ops.convert_to_tensor(init_probs, dtype=dtypes.float32)
|
| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| linear_operator_full_matrix_test.py | 60 mat = ops.convert_to_tensor(matrix)
162 mat = ops.convert_to_tensor(matrix)
229 mat = ops.convert_to_tensor(matrix)
|
| linear_operator_test.py | 72 self._matrix = ops.convert_to_tensor(matrix, name="matrix")
87 x = ops.convert_to_tensor(x, name="x")
92 rhs = ops.convert_to_tensor(rhs, name="rhs")
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| beta.py | 156 ops.convert_to_tensor(concentration1, name="concentration1"),
159 ops.convert_to_tensor(concentration0, name="concentration0"),
179 [ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)] * 2))
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
| hmc_test.py | 286 initial_state = ops.convert_to_tensor([0.1] * num_chains)
739 target_log_prob = ops.convert_to_tensor(target_log_prob)
740 momentums = [ops.convert_to_tensor(momentums[0])]
741 proposed_target_log_prob = ops.convert_to_tensor(proposed_target_log_prob)
742 proposed_momentums = [ops.convert_to_tensor(proposed_momentums[0])]
773 target_log_prob = ops.convert_to_tensor(target_log_prob)
774 momentums = [ops.convert_to_tensor(momentums[0])]
775 proposed_target_log_prob = ops.convert_to_tensor(proposed_target_log_prob)
776 proposed_momentums = [ops.convert_to_tensor(proposed_momentums[0])]
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| absolute_value.py | 93 event_ndims = ops.convert_to_tensor(event_ndims, name="event_ndims")
|
| permute.py | 94 permutation = ops.convert_to_tensor(
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| affine_linear_operator.py | 123 event_ndims = ops.convert_to_tensor(event_ndims, name="event_ndims")
141 shift = ops.convert_to_tensor(shift, name="shift")
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| quantized_distribution.py | 224 low = ops.convert_to_tensor(low, name="low")
226 high = ops.convert_to_tensor(high, name="high")
278 n = ops.convert_to_tensor(n, name="n")
499 value = ops.convert_to_tensor(value, name="value")
|
| relaxed_bernoulli.py | 189 return {"logits": ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)}
|
| sample_stats.py | 115 x = ops.convert_to_tensor(x, name="x")
178 max_lags = ops.convert_to_tensor(max_lags, name="max_lags")
303 x = ops.convert_to_tensor(x, name="x")
316 axis = ops.convert_to_tensor(axis, name="axis")
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| model_utils.py | 64 return ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| scan_ops_test.py | 131 input_tensor = ops.convert_to_tensor(x)
149 t = ops.convert_to_tensor(x)
237 input_tensor = ops.convert_to_tensor(x)
255 t = ops.convert_to_tensor(x)
|
| transpose_op_test.py | 46 inx = ops.convert_to_tensor(x)
72 inx = ops.convert_to_tensor(x)
154 inx = ops.convert_to_tensor(inp)
175 inx = ops.convert_to_tensor(inp)
210 inx = ops.convert_to_tensor(inp)
232 inx = ops.convert_to_tensor(inp)
253 inx = ops.convert_to_tensor(inp)
305 inx = ops.convert_to_tensor(inp)
326 inx = ops.convert_to_tensor(x)
|
| control_flow_ops_py_test.py | 195 pred = ops.convert_to_tensor(True)
207 ports = ops.convert_to_tensor(True, name="ports")
219 zero = ops.convert_to_tensor(0)
220 one = ops.convert_to_tensor(1)
231 ports = ops.convert_to_tensor(False, name="ports")
244 ports = ops.convert_to_tensor(True, name="ports")
257 false = ops.convert_to_tensor(False)
417 t = ops.convert_to_tensor(1.0)
429 i_32 = ops.convert_to_tensor(0, name="one", dtype=dtypes.int32)
430 i_64 = ops.convert_to_tensor(0, name="one", dtype=dtypes.int64
[all...] |
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| linalg_impl.py | 114 matrix = ops.convert_to_tensor(matrix, name='matrix')
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| variable_utils_impl.py | 64 x = tf.convert_to_tensor(x, dtype=dtype, name="x")
149 (k, ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/contrib/eager/python/ |
| metrics_test.py | 160 inputs = ops.convert_to_tensor([1.0, 2.0])
168 inputs = ops.convert_to_tensor([2.0, 3.0])
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| model_fn.py | 138 train_op = ops.convert_to_tensor(train_op).op
145 loss = ops.convert_to_tensor(loss)
|
