| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| model.py | 647 predict_times = ops.convert_to_tensor(features[PredictionFeatures.TIMES],
712 times = ops.convert_to_tensor(times, dtype=dtypes.int64)
[all...] |
| /external/tensorflow/tensorflow/python/eager/ |
| backprop.py | 682 ops.convert_to_tensor(args[i])
702 dy = [ops.convert_to_tensor(x) for x in nest.flatten(dy)]
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| gather_nd_op_test.py | 241 self.assertAllEqual(expected_grads, ops.convert_to_tensor(grads).eval())
322 self.assertAllEqual(expected_grads, ops.convert_to_tensor(grads).eval())
|
| split_op_test.py | 180 inp_tensor = ops.convert_to_tensor(inp)
296 inp_tensor = ops.convert_to_tensor(inp)
|
| linalg_ops_test.py | 132 matrix = ops.convert_to_tensor(matrix_np)
|
| list_ops_test.py | 39 return ops.convert_to_tensor([], dtype=dtypes.int32)
|
| diag_op_test.py | 275 tf_ans = array_ops.diag(ops.convert_to_tensor(diag.astype(dtype)))
422 tensor = ops.convert_to_tensor(tensor.astype(dtype))
445 t = ops.convert_to_tensor(x.astype(np.float32))
|
| fft_ops_test.py | 73 inx = ops.convert_to_tensor(x)
74 iny = ops.convert_to_tensor(y)
93 inx = ops.convert_to_tensor(x)
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| conditional_transformed_distribution.py | 76 sample_shape = ops.convert_to_tensor(
|
| inverse_gamma.py | 152 zip(("concentration", "rate"), ([ops.convert_to_tensor(
|
| relaxed_onehot_categorical.py | 185 self._batch_rank = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
| core_test.py | 255 actual = ops.convert_to_tensor(self.lt)
650 golden_lt = core.LabeledTensor(ops.convert_to_tensor(42), [])
655 golden_lt = core.LabeledTensor(ops.convert_to_tensor(42), [])
660 golden_lt = core.LabeledTensor(ops.convert_to_tensor(42), [])
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| head.py | 673 logits = ops.convert_to_tensor(logits)
[all...] |
| /external/tensorflow/tensorflow/python/estimator/ |
| warm_starting_util.py | 393 new_init_val = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/layers/ |
| core.py | 151 inputs = ops.convert_to_tensor(inputs, dtype=self.dtype)
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| gamma.py | 153 zip(("concentration", "rate"), ([ops.convert_to_tensor(
|
| normal.py | 153 zip(("loc", "scale"), ([ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/ops/ |
| math_grad_test.py | 75 value = ops.convert_to_tensor(
|
| rnn.py | 589 flat_input = [ops.convert_to_tensor(input_) for input_ in flat_input]
[all...] |
| tensor_array_ops.py | 269 value = ops.convert_to_tensor(value, name="value")
340 value = ops.convert_to_tensor(value, name="value")
363 value = ops.convert_to_tensor(value, name="value")
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| embedding_ops.py | 116 ops.convert_to_tensor(w, dtype=dtype) for w in embedding_weights
470 ids = ops.convert_to_tensor(ids)
[all...] |
| /external/tensorflow/tensorflow/python/framework/ |
| function.py | 357 outputs = [ops.convert_to_tensor(_) for _ in outputs]
506 args = [ops.convert_to_tensor(_) for _ in args] + self._extra_inputs
610 x = ops.convert_to_tensor(x)
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| input.py | 168 input_tensor = ops.convert_to_tensor(input_tensor, name="input_tensor")
244 string_tensor = ops.convert_to_tensor(string_tensor, dtype=dtypes.string)
622 keep_input = ops.convert_to_tensor(keep_input)
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| head.py | 544 logits = ops.convert_to_tensor(logits)
545 labels = ops.convert_to_tensor(labels)
560 logits = ops.convert_to_tensor(logits)
561 labels = ops.convert_to_tensor(labels)
604 logits = ops.convert_to_tensor(logits, name="logits")
777 logits = ops.convert_to_tensor(logits)
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| mixture_test.py | 111 batch_shape = ops.convert_to_tensor(batch_shape, dtypes.int32)
129 batch_shape_tensor = ops.convert_to_tensor(batch_shape_tensor, dtypes.int32)
137 event_shape = ops.convert_to_tensor(event_shape, dtypes.int32)
[all...] |
