| /external/tensorflow/tensorflow/contrib/kafka/python/ops/ |
| kafka_dataset_ops.py | 50 self._topics = ops.convert_to_tensor(
52 self._servers = ops.convert_to_tensor(
54 self._group = ops.convert_to_tensor(
56 self._eof = ops.convert_to_tensor(eof, dtype=dtypes.bool, name="eof")
57 self._timeout = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| tensor_priority_test.py | 36 ops.convert_to_tensor([[1.0, 2.0]]))
38 tensor = ops.convert_to_tensor([[10.0, 20.0]])
47 tensor = ops.convert_to_tensor([[10.0, 20.0]])
61 tensor = ops.convert_to_tensor([[10.0, 20.0]])
79 tensor = ops.convert_to_tensor([[10.0, 20.0]])
|
| sparsemask_op_test.py | 38 values_tensor = ops.convert_to_tensor(values)
39 indices_tensor = ops.convert_to_tensor(indices)
40 mask_indices_tensor = ops.convert_to_tensor(mask_indices)
|
| logging_ops_test.py | 35 epsilon = ops.convert_to_tensor(1e-20)
36 x = ops.convert_to_tensor(0.0)
37 y = ops.convert_to_tensor(1.0)
38 z = ops.convert_to_tensor(2.0)
|
| embedding_ops_test.py | 744 ops.convert_to_tensor([0, 1, 2]),
745 ops.convert_to_tensor([2, 3])
748 ops.convert_to_tensor([12, 23, 34]),
749 ops.convert_to_tensor([1, 2])
757 ops.convert_to_tensor([0, 1, 2]),
758 ops.convert_to_tensor([2, 3])
761 ops.convert_to_tensor([12, 23, 34]),
762 ops.convert_to_tensor([1, 2])
770 ops.convert_to_tensor([0, 1, 2]),
771 ops.convert_to_tensor([2, 3]
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| random_ops.py | 43 return ops.convert_to_tensor(shape, dtype=dtype, name="shape")
74 mean_tensor = ops.convert_to_tensor(mean, dtype=dtype, name="mean")
75 stddev_tensor = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
124 means_tensor = ops.convert_to_tensor(means, dtype=dtype, name="means")
125 stddevs_tensor = ops.convert_to_tensor(stddevs, dtype=dtype, name="stddevs")
126 minvals_tensor = ops.convert_to_tensor(minvals, dtype=dtype, name="minvals")
127 maxvals_tensor = ops.convert_to_tensor(maxvals, dtype=dtype, name="maxvals")
171 mean_tensor = ops.convert_to_tensor(mean, dtype=dtype, name="mean")
172 stddev_tensor = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
236 minval = ops.convert_to_tensor(minval, dtype=dtype, name="min"
[all...] |
| check_ops.py | 170 x = ops.convert_to_tensor(x, name='x')
180 zero = ops.convert_to_tensor(0, dtype=x.dtype)
211 x = ops.convert_to_tensor(x, name='x')
220 zero = ops.convert_to_tensor(0, dtype=x.dtype)
252 x = ops.convert_to_tensor(x, name='x')
262 zero = ops.convert_to_tensor(0, dtype=x.dtype)
294 x = ops.convert_to_tensor(x, name='x')
304 zero = ops.convert_to_tensor(0, dtype=x.dtype)
343 x = ops.convert_to_tensor(x, name='x')
344 y = ops.convert_to_tensor(y, name='y'
[all...] |
| histogram_ops.py | 80 values = ops.convert_to_tensor(values, name='values')
84 value_range = ops.convert_to_tensor(value_range, name='value_range')
85 nbins = ops.convert_to_tensor(nbins, dtype=dtypes.int32, name='nbins')
|
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| counter.py | 49 start = ops.convert_to_tensor(start, dtype=dtype, name="start")
50 step = ops.convert_to_tensor(step, dtype=dtype, name="step")
|
| /external/tensorflow/tensorflow/contrib/resampler/python/ops/ |
| resampler_ops.py | 57 data_tensor = ops.convert_to_tensor(data, name="data")
58 warp_tensor = ops.convert_to_tensor(warp, name="warp")
65 grad_output_tensor = ops.convert_to_tensor(grad_output, name="grad_output")
|
| /external/tensorflow/tensorflow/contrib/sparsemax/python/ops/ |
| sparsemax_loss.py | 46 logits = ops.convert_to_tensor(logits, name="logits")
47 sparsemax = ops.convert_to_tensor(sparsemax, name="sparsemax")
48 labels = ops.convert_to_tensor(labels, name="labels")
|
| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| linear_operator_util_test.py | 37 x = ops.convert_to_tensor([0., 2, 3])
43 x = ops.convert_to_tensor([1., 0, 3])
44 y = ops.convert_to_tensor([0., 0, 0])
51 x = ops.convert_to_tensor([1., 2, 0])
52 y = ops.convert_to_tensor([1., 2, 0])
62 x = ops.convert_to_tensor([1., 2, 3])
69 x = ops.convert_to_tensor([1., 0, 3])
70 y = ops.convert_to_tensor([1., 2, 0])
78 x = ops.convert_to_tensor([1., 0, 3])
85 x = ops.convert_to_tensor([1., 2, 0]
[all...] |
| /external/tensorflow/tensorflow/contrib/signal/python/ops/ |
| spectral_ops.py | 69 signals = ops.convert_to_tensor(signals, name='signals')
71 frame_length = ops.convert_to_tensor(frame_length, name='frame_length')
73 frame_step = ops.convert_to_tensor(frame_step, name='frame_step')
79 fft_length = ops.convert_to_tensor(fft_length, name='fft_length')
118 frame_step = ops.convert_to_tensor(frame_step, name='frame_step')
138 frame_length = ops.convert_to_tensor(frame_length, name='frame_length')
223 stfts = ops.convert_to_tensor(stfts, name='stfts')
225 frame_length = ops.convert_to_tensor(frame_length, name='frame_length')
227 frame_step = ops.convert_to_tensor(frame_step, name='frame_step')
232 fft_length = ops.convert_to_tensor(fft_length, name='fft_length'
[all...] |
| mel_ops.py | 44 mel_values = ops.convert_to_tensor(mel_values)
62 frequencies_hertz = ops.convert_to_tensor(frequencies_hertz)
157 sample_rate = ops.convert_to_tensor(
159 lower_edge_hertz = ops.convert_to_tensor(
161 upper_edge_hertz = ops.convert_to_tensor(
163 zero_float64 = ops.convert_to_tensor(0.0, dtypes.float64)
|
| util_ops.py | 46 a = ops.convert_to_tensor(a)
47 b = ops.convert_to_tensor(b)
62 return ops.convert_to_tensor(fractions.gcd(const_a, const_b))
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| moving_stats.py | 90 value = ops.convert_to_tensor(value, dtype=base_dtype, name="value")
91 decay = ops.convert_to_tensor(decay, dtype=base_dtype, name="decay")
160 log_value = ops.convert_to_tensor(log_value, dtype=base_dtype,
162 decay = ops.convert_to_tensor(decay, dtype=base_dtype, name="decay")
216 value = ops.convert_to_tensor(value, name="value")
222 decay = ops.convert_to_tensor(decay, dtype=base_dtype, name="decay")
|
| sinh_arcsinh.py | 138 loc = ops.convert_to_tensor(loc, name="loc")
140 scale = ops.convert_to_tensor(scale, name="scale", dtype=dtype)
144 tailweight = ops.convert_to_tensor(
146 skewness = ops.convert_to_tensor(skewness, name="skewness", dtype=dtype)
178 c = 2 * scale / f_noskew.forward(ops.convert_to_tensor(2, dtype=dtype))
|
| shape.py | 202 ops.convert_to_tensor(
207 ops.convert_to_tensor(
243 x = ops.convert_to_tensor(x, name="x")
247 return ops.convert_to_tensor(ndims, dtype=dtypes.int32, name="ndims")
273 return ops.convert_to_tensor(sample_ndims, name="sample_ndims")
314 return ops.convert_to_tensor(
338 x = ops.convert_to_tensor(x, name="x")
349 return ops.convert_to_tensor(slice_, dtype=dtypes.int32, name=name)
382 x = ops.convert_to_tensor(x, name="x")
422 x = ops.convert_to_tensor(x, name="x"
[all...] |
| /external/tensorflow/tensorflow/python/data/util/ |
| convert.py | 30 return ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| util.py | 55 x = ops.convert_to_tensor(x, name="x")
56 y = ops.convert_to_tensor(y, name="y")
95 x = ops.convert_to_tensor(x, name="x")
123 x = ops.convert_to_tensor(x, name="x")
147 a = ops.convert_to_tensor(a, name="a")
148 b = ops.convert_to_tensor(b, name="b")
198 logits = ops.convert_to_tensor(logits, name="logits")
209 probs = ops.convert_to_tensor(probs, name="probs")
339 x = ops.convert_to_tensor(categorical_param, name="categorical_param")
424 x = ops.convert_to_tensor(x, name="x"
[all...] |
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| csiszar_divergence_impl.py | 103 logu = ops.convert_to_tensor(logu, name="logu")
269 logu = ops.convert_to_tensor(logu, name="logu")
323 logu = ops.convert_to_tensor(logu, name="logu")
358 logu = ops.convert_to_tensor(logu, name="logu")
390 logu = ops.convert_to_tensor(logu, name="logu")
425 logu = ops.convert_to_tensor(logu, name="logu")
460 logu = ops.convert_to_tensor(logu, name="logu")
497 logu = ops.convert_to_tensor(logu, name="logu")
498 t = ops.convert_to_tensor(t, dtype=logu.dtype.base_dtype, name="t")
548 logu = ops.convert_to_tensor(logu, name="logu"
[all...] |
| custom_grad_impl.py | 79 fx = ops.convert_to_tensor(fx, name="fx")
83 gx = ops.convert_to_tensor(gx, dtype=fx.dtype, name="gx")
|
| sgld_optimizer.py | 99 self._preconditioner_decay_rate = ops.convert_to_tensor(
101 self._num_pseudo_batches = ops.convert_to_tensor(
103 self._burnin = ops.convert_to_tensor(burnin, name='burnin')
104 self._diagonal_bias = ops.convert_to_tensor(
106 self._learning_rate = ops.convert_to_tensor(
158 ], ops.convert_to_tensor(self._learning_rate, name='learning_rate_tensor'))
159 self._decay_tensor = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/contrib/integrate/python/ops/ |
| odes.py | 114 y0 = ops.convert_to_tensor(y0, name='y0')
115 f0 = ops.convert_to_tensor(f0, name='f0')
116 t0 = ops.convert_to_tensor(t0, name='t0')
117 dt = ops.convert_to_tensor(dt, name='dt')
198 t0 = ops.convert_to_tensor(t0)
199 t1 = ops.convert_to_tensor(t1)
200 t = ops.convert_to_tensor(t)
313 first_step = ops.convert_to_tensor(
315 safety = ops.convert_to_tensor(safety, dtype=t.dtype, name='safety')
316 ifactor = ops.convert_to_tensor(ifactor, dtype=t.dtype, name='ifactor'
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| proximal_gradient_descent.py | 100 self._learning_rate_tensor = ops.convert_to_tensor(self._learning_rate,
102 self._l1_regularization_strength_tensor = ops.convert_to_tensor(
104 self._l2_regularization_strength_tensor = ops.convert_to_tensor(
|
