| /external/tensorflow/tensorflow/python/ops/ |
| state_ops.py | 165 value = ops.convert_to_tensor(value, name="value")
168 init = ops.convert_to_tensor(init, name="init")
357 ref.handle, indices, ops.convert_to_tensor(updates, ref.dtype),
420 ref.handle, indices, ops.convert_to_tensor(updates, dtype=ref.dtype),
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| weights_broadcast_ops.py | 83 weights = ops.convert_to_tensor(weights, name=weights_scope)
89 values = ops.convert_to_tensor(values, name=values_scope)
155 values = ops.convert_to_tensor(values, name="values")
156 weights = ops.convert_to_tensor(
|
| functional_ops.py | 109 elems = ops.convert_to_tensor(elems, name="elems")
120 a = ops.convert_to_tensor(initializer)
197 elems = ops.convert_to_tensor(elems, name="elems")
209 a = ops.convert_to_tensor(initializer)
362 ops.convert_to_tensor(elem, name="elem") for elem in elems_flat]
556 ops.convert_to_tensor(elem, name="elem") for elem in elems_flat]
575 a_flat = [ops.convert_to_tensor(init) for init in initializer_flat]
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| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| hmc_impl.py | 269 num_results = ops.convert_to_tensor(
273 num_leapfrog_steps = ops.convert_to_tensor(
277 num_burnin_steps = ops.convert_to_tensor(
281 num_steps_between_results = ops.convert_to_tensor(
504 num_steps = ops.convert_to_tensor(
508 num_leapfrog_steps = ops.convert_to_tensor(
786 num_leapfrog_steps = ops.convert_to_tensor(
[all...] |
| metropolis_hastings_impl.py | 367 input_state = ops.convert_to_tensor(input_state, name='input_state')
420 input_state = ops.convert_to_tensor(input_state, name='input_state')
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| distribution_test.py | 157 sample_shape = ops.convert_to_tensor([6, 7], dtype=dtypes.int32)
166 sample_shape = ops.convert_to_tensor([6, 7], dtype=dtypes.int32)
173 sample_shape = ops.convert_to_tensor([6, 7], dtype=dtypes.int32)
180 sample_shape = ops.convert_to_tensor([6, 7], dtype=dtypes.int32)
187 sample_shape = ops.convert_to_tensor([6, 7], dtype=dtypes.int32)
|
| /external/tensorflow/tensorflow/contrib/framework/python/framework/ |
| tensor_util.py | 100 predictions = ops.convert_to_tensor(predictions)
101 labels = ops.convert_to_tensor(labels)
148 expected = ops.convert_to_tensor(expected_rank, name='expected')
168 ops.convert_to_tensor(expected_shape, name='expected'),
293 tensor = ops.convert_to_tensor(tensor)
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| special_math.py | 83 x = ops.convert_to_tensor(x, name="x")
126 p = ops.convert_to_tensor(p, name="p")
296 x = ops.convert_to_tensor(x, name="x")
369 x = ops.convert_to_tensor(x, name="x")
412 x = ops.convert_to_tensor(x, name="x")
|
| distribution.py | 576 return ops.convert_to_tensor(self.batch_shape.as_list(),
612 return ops.convert_to_tensor(self.event_shape.as_list(),
641 return ops.convert_to_tensor(
655 return ops.convert_to_tensor(
664 sample_shape = ops.convert_to_tensor(
696 value = ops.convert_to_tensor(value, name="value")
723 value = ops.convert_to_tensor(value, name="value")
750 value = ops.convert_to_tensor(value, name="value")
787 value = ops.convert_to_tensor(value, name="value")
820 value = ops.convert_to_tensor(value, name="value"
[all...] |
| bijector_impl.py | 420 ops.convert_to_tensor(event_ndims, dtype=dtypes.int32)
517 input_shape = ops.convert_to_tensor(input_shape, dtype=dtypes.int32,
561 output_shape = ops.convert_to_tensor(output_shape, dtype=dtypes.int32,
591 x = ops.convert_to_tensor(x, name="x")
625 y = ops.convert_to_tensor(y, name="y")
663 y = ops.convert_to_tensor(y, name="y")
720 x = ops.convert_to_tensor(x, name="x")
813 return ops.convert_to_tensor(
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| /external/tensorflow/tensorflow/python/training/ |
| ftrl.py | 131 self._learning_rate_tensor = ops.convert_to_tensor(
133 self._l1_regularization_strength_tensor = ops.convert_to_tensor(
135 self._l2_regularization_strength_tensor = ops.convert_to_tensor(
137 self._l2_shrinkage_regularization_strength_tensor = ops.convert_to_tensor(
140 self._learning_rate_power_tensor = ops.convert_to_tensor(
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| momentum.py | 83 self._learning_rate_tensor = ops.convert_to_tensor(learning_rate,
88 self._momentum_tensor = ops.convert_to_tensor(momentum, name="momentum")
|
| /external/tensorflow/tensorflow/python/data/ops/ |
| dataset_ops.py | 707 num_shards = ops.convert_to_tensor(
710 index = ops.convert_to_tensor(index, name="index", dtype=dtypes.int64)
[all...] |
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| resampling.py | 57 target_dist_t = ops.convert_to_tensor(target_dist, name="initial_dist")
60 initial_dist_t = ops.convert_to_tensor(initial_dist, name="initial_dist")
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| gumbel.py | 73 self._loc = ops.convert_to_tensor(loc, name="loc")
74 self._scale = ops.convert_to_tensor(scale, name="scale")
|
| sinh_arcsinh.py | 116 self._skewness = ops.convert_to_tensor(
118 self._tailweight = ops.convert_to_tensor(
|
| softplus.py | 90 self._hinge_softness = ops.convert_to_tensor(
96 ops.convert_to_tensor(
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| weibull.py | 75 self._scale = ops.convert_to_tensor(scale, name="scale")
76 self._concentration = ops.convert_to_tensor(
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| regularizers.py | 65 my_scale = ops.convert_to_tensor(scale,
104 my_scale = ops.convert_to_tensor(scale,
|
| /external/tensorflow/tensorflow/contrib/layers/python/ops/ |
| sparse_ops.py | 71 dense_tensor = ops.convert_to_tensor(dense_tensor)
148 indicators = ops.convert_to_tensor(indicators, name="indicators")
|
| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| training_loop.py | 57 inputs = [] if inputs is None else [ops.convert_to_tensor(x) for
127 o if isinstance(o, ops.Operation) else ops.convert_to_tensor(o)
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| resample.py | 46 counts = ops.convert_to_tensor(counts, name='counts')
91 rates = ops.convert_to_tensor(rates, name='rates')
|
| tensor_queue_dataset.py | 46 self._batch_size = ops.convert_to_tensor(
70 ops.convert_to_tensor(s, dtype=dtypes.int64)
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| /external/tensorflow/tensorflow/python/framework/ |
| sparse_tensor.py | 119 indices = ops.convert_to_tensor(
127 dense_shape = ops.convert_to_tensor(
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| /external/tensorflow/tensorflow/python/ops/linalg/ |
| linear_operator.py | 384 self._cached_tensor_rank_tensor = ops.convert_to_tensor(
422 self._cached_domain_dimension_tensor = ops.convert_to_tensor(
460 self._cached_range_dimension_tensor = ops.convert_to_tensor(
615 x = ops.convert_to_tensor(x, name="x")
657 x = ops.convert_to_tensor(x, name="x")
783 rhs = ops.convert_to_tensor(rhs, name="rhs")
838 rhs = ops.convert_to_tensor(rhs, name="rhs")
[all...] |
