| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| vector_laplace_linear_operator.py | 203 loc = ops.convert_to_tensor(loc, name="loc") if loc is not None else loc
|
| /external/tensorflow/tensorflow/contrib/framework/python/ops/ |
| accumulate_n_v2_test.py | 77 ops.convert_to_tensor(x, dtype=dtypes_lib.float32)
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| /external/tensorflow/tensorflow/contrib/lite/python/ |
| op_hint.py | 121 tensor_value = _ops.convert_to_tensor(value)
|
| /external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/ |
| lstm_ops_test.py | 49 inp = ops.convert_to_tensor(
83 ops.convert_to_tensor(sequence_length, dtype=dtypes.int64),
94 ops.convert_to_tensor(sequence_length, dtype=dtypes.int64),
363 inp = ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ops/ |
| data_ops.py | 173 data = ops.convert_to_tensor(data)
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| ar_model.py | 252 ops.convert_to_tensor(features[PredictionFeatures.TIMES]), dtypes.int32)
268 ops.convert_to_tensor(state_times), dtypes.int32)
269 state_values = ops.convert_to_tensor(state_values, dtype=self.dtype)
455 features = {feature_name: ops.convert_to_tensor(feature_value)
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| kalman_filter.py | 269 observation_noise = ops.convert_to_tensor(observation_noise)
|
| /external/tensorflow/tensorflow/python/data/ops/ |
| iterator_ops.py | 237 string_handle = ops.convert_to_tensor(string_handle, dtype=dtypes.string)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| ctc_decoder_ops_test.py | 55 inputs_t = [ops.convert_to_tensor(x) for x in inputs]
|
| nth_element_op_test.py | 36 inputs_op = ops.convert_to_tensor(inputs, dtype=dtype)
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| bernoulli.py | 92 return {"logits": ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)}
|
| dirichlet.py | 160 ops.convert_to_tensor(concentration, name="concentration"),
|
| laplace.py | 122 zip(("loc", "scale"), ([ops.convert_to_tensor(
|
| multinomial.py | 187 self._total_count = ops.convert_to_tensor(total_count, name="total_count")
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| uniform.py | 127 ([ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)] * 2)))
|
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| linear_operator_composition.py | 215 return ops.convert_to_tensor(
|
| linear_operator_diag.py | 146 self._diag = ops.convert_to_tensor(diag, name="diag")
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| /external/tensorflow/tensorflow/python/ops/ |
| logging_ops.py | 227 sample_rate = ops.convert_to_tensor(sample_rate, dtype=dtypes.float32,
|
| data_flow_ops.py | 292 ops.convert_to_tensor(val, dtype=dtype, name="component_%d" % i))
[all...] |
| /external/tensorflow/tensorflow/python/summary/ |
| summary.py | 241 sample_rate = _ops.convert_to_tensor(
|
| /external/tensorflow/tensorflow/python/training/ |
| adagrad_da.py | 101 self._learning_rate_tensor = ops.convert_to_tensor(
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| /external/tensorflow/tensorflow/python/framework/ |
| ops_test.py | 152 tensor = ops.convert_to_tensor(x, name="tensor")
320 tensor = ops.convert_to_tensor(values)
333 converted = ops.convert_to_tensor(t)
335 converted = ops.convert_to_tensor(1)
341 tensor = ops.convert_to_tensor(values)
343 self.assertAllEqual(values, ops.convert_to_tensor(values).eval())
348 tensor = ops.convert_to_tensor(
352 tensor = ops.convert_to_tensor(
360 tensor = ops.convert_to_tensor(values)
367 tensor = ops.convert_to_tensor(values, preferred_dtype=dtypes.float32
[all...] |
| /external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
| bucketing_test.py | 118 .map(lambda x: (x, ops.convert_to_tensor([x * x]))).apply(
139 4, padded_shapes=ops.convert_to_tensor([(key + 1) * 10])),
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| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| head.py | 379 ops.convert_to_tensor(self._n_classes, dtype=labels.dtype),
394 logits = ops.convert_to_tensor(logits)
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| utils_test.py | 148 fn1 = lambda: ops.convert_to_tensor('fn1')
149 fn2 = lambda: ops.convert_to_tensor('fn2')
|
