| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| affine.py | 41 return None if x is None else ops.convert_to_tensor(x, name=name)
190 event_ndims = ops.convert_to_tensor(event_ndims, name="event_ndims")
211 shift = ops.convert_to_tensor(shift, name="shift")
219 scale_identity_multiplier = ops.convert_to_tensor(1., dtype=dtype)
|
| softmax_centered.py | 78 event_ndims = ops.convert_to_tensor(event_ndims, name="event_ndims")
110 return ops.convert_to_tensor(
131 return ops.convert_to_tensor([], dtype=dtypes.int32, name="output_shape")
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| deterministic.py | 91 loc = ops.convert_to_tensor(loc, name="loc")
121 return ops.convert_to_tensor(0, dtype=self.loc.dtype)
123 tol = ops.convert_to_tensor(tol, dtype=self.loc.dtype)
156 n_static = tensor_util.constant_value(ops.convert_to_tensor(n))
|
| mvn_diag_plus_low_rank.py | 220 return None if x is None else ops.convert_to_tensor(x, name=name)
|
| mvn_tril.py | 184 return None if x is None else ops.convert_to_tensor(x, name=name)
|
| poisson.py | 95 rate = ops.convert_to_tensor(rate, name="rate")
104 log_rate = ops.convert_to_tensor(log_rate, name="log_rate")
109 self._log_rate = ops.convert_to_tensor(log_rate, name="log_rate")
|
| vector_diffeomixture.py | 89 normal_loc = ops.convert_to_tensor(normal_loc, name="normal_loc")
91 normal_scale = ops.convert_to_tensor(
101 probs = ops.convert_to_tensor(probs, name="probs", dtype=dt)
148 normal_loc = ops.convert_to_tensor(normal_loc, name="normal_loc")
150 normal_scale = ops.convert_to_tensor(
411 loc = [ops.convert_to_tensor(loc_, dtype=dtype, name="loc{}".format(k))
439 mix_loc = ops.convert_to_tensor(
441 temperature = ops.convert_to_tensor(
[all...] |
| /external/tensorflow/tensorflow/contrib/image/python/ops/ |
| distort_image_ops.py | 131 image = ops.convert_to_tensor(image, name='image')
|
| /external/tensorflow/tensorflow/contrib/sparsemax/python/ops/ |
| sparsemax.py | 48 logits = ops.convert_to_tensor(logits, name="logits")
|
| /external/tensorflow/tensorflow/python/eager/ |
| graph_only_ops.py | 32 tensor = ops.convert_to_tensor(tensor, name="tensor")
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| /external/tensorflow/tensorflow/python/layers/ |
| maxout.py | 94 inputs = ops.convert_to_tensor(inputs)
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| categorical.py | 200 self._batch_rank = ops.convert_to_tensor(
210 self._event_size = ops.convert_to_tensor(
277 k = ops.convert_to_tensor(k, name="k")
299 k = ops.convert_to_tensor(k, name="k")
|
| /external/tensorflow/tensorflow/python/ops/ |
| numerics.py | 43 t = ops.convert_to_tensor(t, name="t")
|
| script_ops.py | 61 maybe_copy_to_gpu(ops.convert_to_tensor(x, dtype=dtype))
68 ops.convert_to_tensor(ret, dtype=self._out_dtypes[0]))
326 return [x if x is None else ops.convert_to_tensor(x) for x in result]
|
| /external/tensorflow/tensorflow/python/training/ |
| adam.py | 135 self._lr_t = ops.convert_to_tensor(self._lr, name="learning_rate")
136 self._beta1_t = ops.convert_to_tensor(self._beta1, name="beta1")
137 self._beta2_t = ops.convert_to_tensor(self._beta2, name="beta2")
138 self._epsilon_t = ops.convert_to_tensor(self._epsilon, name="epsilon")
|
| gradient_descent.py | 72 self._learning_rate_tensor = ops.convert_to_tensor(self._learning_rate,
|
| rmsprop.py | 123 self._learning_rate_tensor = ops.convert_to_tensor(
125 self._decay_tensor = ops.convert_to_tensor(self._decay, name="decay")
126 self._momentum_tensor = ops.convert_to_tensor(
128 self._epsilon_tensor = ops.convert_to_tensor(self._epsilon, name="epsilon")
|
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| grouping.py | 74 return ops.convert_to_tensor(window_size, dtype=dtypes.int64)
134 window_size = ops.convert_to_tensor(
168 ret = ops.convert_to_tensor(ret, dtype=dtypes.int64)
|
| interleave_ops.py | 72 self._cycle_length = ops.convert_to_tensor(
74 self._block_length = ops.convert_to_tensor(
76 self._sloppy = ops.convert_to_tensor(
|
| scan_ops.py | 40 ops.convert_to_tensor(t, name="component_%d" % i)
96 ops.convert_to_tensor(t) for t in nest.flatten(new_state)
99 ops.convert_to_tensor(t) for t in nest.flatten(output_value)
|
| /external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| histogram_ops.py | 84 score_range = ops.convert_to_tensor(score_range, name='score_range')
101 boolean_labels = ops.convert_to_tensor(boolean_labels,
103 scores = ops.convert_to_tensor(scores, name='scores')
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| cwise_ops_test.py | 97 inx = ops.convert_to_tensor(x)
118 inxf = ops.convert_to_tensor(xf)
156 result = tf_func(ops.convert_to_tensor(x))
534 inx = ops.convert_to_tensor(x)
535 iny = ops.convert_to_tensor(y)
577 inx = ops.convert_to_tensor(x)
578 iny = ops.convert_to_tensor(y)
589 inxf = ops.convert_to_tensor(xf)
590 inyf = ops.convert_to_tensor(yf)
607 inx = ops.convert_to_tensor(x
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers.py | 113 inputs = ops.convert_to_tensor(inputs)
162 inputs = ops.convert_to_tensor(inputs)
267 inputs = ops.convert_to_tensor(inputs)
572 inputs = ops.convert_to_tensor(inputs)
608 inputs = ops.convert_to_tensor(inputs)
683 batch_weights = ops.convert_to_tensor(batch_weights)
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| math_utils.py | 82 matrices = [ops.convert_to_tensor(matrix, dtype=dtype) for matrix in matrices]
133 power_matrix = ops.convert_to_tensor(power_matrix)
137 ops.convert_to_tensor(power_matrix).get_shape())
224 matrices = ops.convert_to_tensor(matrices)
259 batch = ops.convert_to_tensor(batch)
260 matrix = ops.convert_to_tensor(matrix)
349 raw = ops.convert_to_tensor(raw)
354 tensor = ops.convert_to_tensor(tensor, dtype=raw.dtype.base_dtype)
432 overall_scale=ops.convert_to_tensor(
520 keys = ops.convert_to_tensor(keys, dtype=self._key_dtype
[all...] |
| /external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/ |
| beam_search_decoder_test.py | 138 logits = ops.convert_to_tensor(logits_, dtype=dtypes.float32)
146 batch_size=ops.convert_to_tensor(self.batch_size),
178 lengths=ops.convert_to_tensor(
180 finished=ops.convert_to_tensor(
193 logits = ops.convert_to_tensor(logits_, dtype=dtypes.float32)
201 batch_size=ops.convert_to_tensor(self.batch_size),
299 batch_size=ops.convert_to_tensor(self.batch_size),
|
