| /external/tensorflow/tensorflow/contrib/losses/python/metric_learning/ |
| metric_loss_ops_test.py | 82 labels=ops.convert_to_tensor(labels),
83 embeddings_anchor=ops.convert_to_tensor(embeddings_anchor),
84 embeddings_positive=ops.convert_to_tensor(embeddings_positive),
139 labels=ops.convert_to_tensor(labels),
140 embeddings=ops.convert_to_tensor(embedding),
192 labels=ops.convert_to_tensor(labels),
193 embeddings=ops.convert_to_tensor(embedding),
247 logits=ops.convert_to_tensor(similarity_matrix),
248 labels=ops.convert_to_tensor(labels_remapped))).eval()
253 labels=ops.convert_to_tensor(labels)
[all...] |
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| shuffle_ops.py | 41 self._buffer_size = ops.convert_to_tensor(
46 self._count = ops.convert_to_tensor(
53 self._seed = ops.convert_to_tensor(seed, dtype=dtypes.int64, name="seed")
57 self._seed2 = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| vector_sinh_arcsinh_diag.py | 173 loc = ops.convert_to_tensor(loc, name="loc") if loc is not None else loc
214 skewness = ops.convert_to_tensor(skewness, dtype=dtype, name="skewness")
215 tailweight = ops.convert_to_tensor(
228 ops.convert_to_tensor(2, dtype=dtype))
|
| chi2.py | 90 self._df = ops.convert_to_tensor(df, name="df")
101 return {"df": ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)}
|
| /external/tensorflow/tensorflow/python/data/ops/ |
| readers.py | 49 self._filenames = ops.convert_to_tensor(
92 self._filenames = ops.convert_to_tensor(
145 self._filenames = ops.convert_to_tensor(
147 self._record_bytes = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| stack_op_test.py | 232 ops.convert_to_tensor([1, constant_op.constant(0), 2]).eval())
234 ops.convert_to_tensor(
238 ops.convert_to_tensor(
242 ops.convert_to_tensor([
250 result = ops.convert_to_tensor([[[0., 0.],
261 result = ops.convert_to_tensor([[0, 0, 0], [0, v, 0], [0, 0, 0]])
269 t_0 = ops.convert_to_tensor([[0., 0., 0.], [0., 0., 0.], [0., 0., 0.]])
272 t_1 = ops.convert_to_tensor([[0., 0., 0.], constant_op.constant(
276 t_2 = ops.convert_to_tensor(
281 ops.convert_to_tensor([
[all...] |
| division_future_test.py | 45 x = ops.convert_to_tensor(x)
46 y = ops.convert_to_tensor(y)
|
| division_past_test.py | 45 x = ops.convert_to_tensor(x)
46 y = ops.convert_to_tensor(y)
|
| parse_single_example_op_test.py | 146 "serialized": ops.convert_to_tensor(""),
208 "serialized": ops.convert_to_tensor(serialized),
225 "serialized": ops.convert_to_tensor(serialized),
271 "serialized": ops.convert_to_tensor(proto.SerializeToString()),
315 "serialized": ops.convert_to_tensor(proto.SerializeToString()),
350 "serialized": ops.convert_to_tensor(proto.SerializeToString()),
403 "serialized": ops.convert_to_tensor(proto.SerializeToString()),
435 "serialized": ops.convert_to_tensor(proto.SerializeToString()),
480 ops.convert_to_tensor(
506 "serialized": ops.convert_to_tensor(proto.SerializeToString())
[all...] |
| basic_gpu_test.py | 44 inx = ops.convert_to_tensor(x)
45 iny = ops.convert_to_tensor(y)
50 inx = ops.convert_to_tensor(x)
51 iny = ops.convert_to_tensor(y)
97 inx = ops.convert_to_tensor(x)
147 inx = ops.convert_to_tensor(x)
148 iny = ops.convert_to_tensor(y + 0.1)
178 inx = ops.convert_to_tensor(x)
179 iny = ops.convert_to_tensor(y)
199 inx = ops.convert_to_tensor(x
[all...] |
| /external/tensorflow/tensorflow/contrib/framework/python/ops/ |
| sort_ops.py | 54 axis = framework_ops.convert_to_tensor(axis, name='axis')
60 values = framework_ops.convert_to_tensor(values, name='values')
|
| /external/tensorflow/tensorflow/contrib/kfac/examples/tests/ |
| mlp_test.py | 35 self.assertShapeEqual(np.zeros([3, 10]), tf.convert_to_tensor(w))
36 self.assertShapeEqual(np.zeros([10]), tf.convert_to_tensor(b))
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
| embeddings_ops.py | 56 params = ops.convert_to_tensor(params)
57 ids = ops.convert_to_tensor(ids)
|
| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| alpha_dropout.py | 57 x = ops.convert_to_tensor(x, name="x")
61 keep_prob = ops.convert_to_tensor(keep_prob,
|
| /external/tensorflow/tensorflow/python/ops/ |
| image_ops_impl.py | 267 image = ops.convert_to_tensor(image, name='image')
299 image = ops.convert_to_tensor(image, name='image')
330 image = ops.convert_to_tensor(image, name='image')
360 image = ops.convert_to_tensor(image, name='image')
388 image = ops.convert_to_tensor(image, name='image')
390 k = ops.convert_to_tensor(k, dtype=dtypes.int32, name='k')
484 image = ops.convert_to_tensor(image, name='image')
521 image = ops.convert_to_tensor(image, name='image')
580 image = ops.convert_to_tensor(image, name='image')
663 image = ops.convert_to_tensor(image, name='image'
[all...] |
| nn_impl.py | 81 log_input = ops.convert_to_tensor(log_input, name="log_input")
82 targets = ops.convert_to_tensor(targets, name="targets")
160 logits = ops.convert_to_tensor(logits, name="logits")
161 labels = ops.convert_to_tensor(labels, name="labels")
241 logits = ops.convert_to_tensor(logits, name="logits")
242 targets = ops.convert_to_tensor(targets, name="targets")
280 x = ops.convert_to_tensor(x, name="x")
281 weights = ops.convert_to_tensor(weights, name="weights")
282 biases = ops.convert_to_tensor(biases, name="biases")
327 features = ops.convert_to_tensor(features, name="features"
[all...] |
| nn_ops.py | 97 input = ops.convert_to_tensor(input, name="input") # pylint: disable=redefined-builtin
99 filter = ops.convert_to_tensor(filter, name="filter") # pylint: disable=redefined-builtin
351 input = ops.convert_to_tensor(input, name="input") # pylint: disable=redefined-builtin
395 dilation_rate = ops.convert_to_tensor(
451 filter_shape = ops.convert_to_tensor(filter_shape, name="filter_shape")
769 input = ops.convert_to_tensor(input, name="input") # pylint: disable=redefined-builtin
771 filter = ops.convert_to_tensor(filter, name="filter") # pylint: disable=redefined-builtin
[all...] |
| spectral_ops.py | 57 return _ops.convert_to_tensor(fft_shape.as_list(), _dtypes.int32)
75 return _ops.convert_to_tensor(fft_length, _dtypes.int32)
130 input_tensor = _ops.convert_to_tensor(input_tensor, _dtypes.float32)
135 fft_length = _ops.convert_to_tensor(fft_length, _dtypes.int32)
148 input_tensor = _ops.convert_to_tensor(input_tensor, _dtypes.complex64)
153 fft_length = _ops.convert_to_tensor(fft_length, _dtypes.int32)
229 input = _ops.convert_to_tensor(input, dtype=_dtypes.float32)
|
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| linear_operator_util.py | 42 x = ops.convert_to_tensor(x, name="x")
45 zero = ops.convert_to_tensor(0, dtype=dtype.real_dtype)
61 x = ops.convert_to_tensor(x, name="x")
67 zero = ops.convert_to_tensor(0, dtype=dtype.real_dtype)
158 batch_matrices[i] = ops.convert_to_tensor(mat)
299 return ops.convert_to_tensor(shape, dtype=dtype, name=name)
|
| /external/tensorflow/tensorflow/contrib/image/python/ops/ |
| image_ops.py | 63 image_or_images = ops.convert_to_tensor(images)
141 angle_or_angles = ops.convert_to_tensor(
184 translation_or_translations = ops.convert_to_tensor(
242 image_or_images = ops.convert_to_tensor(images, name="images")
243 transform_or_transforms = ops.convert_to_tensor(
319 transforms = ops.convert_to_tensor(transforms, name="transforms")
352 transform_matrices = ops.convert_to_tensor(
372 image_or_images = ops.convert_to_tensor(images, name="images")
373 transform_or_transforms = ops.convert_to_tensor(
470 image_or_images = ops.convert_to_tensor(images, name="images"
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| learning_rate_decay.py | 96 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
150 x = ops.convert_to_tensor(x)
273 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
358 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
440 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
500 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
568 learning_rate = ops.convert_to_tensor(
672 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
764 learning_rate = ops.convert_to_tensor(learning_rate, name="learning_rate")
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| mcmc_diagnostics_impl.py | 153 states = ops.convert_to_tensor(states, name="states")
160 filter_threshold = ops.convert_to_tensor(
309 ops.convert_to_tensor(independent_chain_ndims))
335 state = ops.convert_to_tensor(state, name="state")
368 x = ops.convert_to_tensor(x, name="x")
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| addsign.py | 94 self._sign_decay_t = ops.convert_to_tensor(
105 self._lr_t = ops.convert_to_tensor(self._lr, name='learning_rate')
106 self._beta_t = ops.convert_to_tensor(self._beta, name='beta')
107 self._alpha_t = ops.convert_to_tensor(self._alpha, name='alpha')
109 self._sign_decay_t = ops.convert_to_tensor(1.0, name='sign_decay')
|
| powersign.py | 96 self._sign_decay_t = ops.convert_to_tensor(
107 self._lr_t = ops.convert_to_tensor(self._lr, name='learning_rate')
108 self._beta_t = ops.convert_to_tensor(self._beta, name='beta')
109 self._logbase_t = ops.convert_to_tensor(self._logbase, name='logbase')
111 self._sign_decay_t = ops.convert_to_tensor(1.0, name='sign_decay')
|
| /external/tensorflow/tensorflow/contrib/signal/python/ops/ |
| shape_ops.py | 99 signal = ops.convert_to_tensor(signal, name="signal")
100 frame_length = ops.convert_to_tensor(frame_length, name="frame_length")
101 frame_step = ops.convert_to_tensor(frame_step, name="frame_step")
102 axis = ops.convert_to_tensor(axis, name="axis")
125 pad_value = ops.convert_to_tensor(pad_value, signal.dtype)
|
