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  /external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/ops/
seq2seq.py 285 proj_weights = ops.convert_to_tensor(output_projection[0], dtype=dtype)
287 proj_biases = ops.convert_to_tensor(output_projection[1], dtype=dtype)
470 proj_weights = ops.convert_to_tensor(output_projection[0], dtype=dtype)
472 proj_biases = ops.convert_to_tensor(output_projection[1], dtype=dtype)
    [all...]
  /external/tensorflow/tensorflow/contrib/distributions/python/ops/
mixture.py 280 x = ops.convert_to_tensor(x, name="x")
293 x = ops.convert_to_tensor(x, name="x")
331 n = ops.convert_to_tensor(n, name="n")
binomial.py 169 ops.convert_to_tensor(total_count, name="total_count"),
cauchy.py 143 ([ops.convert_to_tensor(sample_shape, dtype=dtypes.int32)] * 2)))
gumbel.py 146 zip(("loc", "scale"), ([ops.convert_to_tensor(
independent.py 125 reinterpreted_batch_ndims = ops.convert_to_tensor(
logistic.py 141 zip(("loc", "scale"), ([ops.convert_to_tensor(
mvn_linear_operator.py 182 loc = ops.convert_to_tensor(loc, name="loc") if loc is not None else loc
onehot_categorical.py 126 self._batch_rank = ops.convert_to_tensor(
vector_exponential_linear_operator.py 187 loc = ops.convert_to_tensor(loc, name="loc") if loc is not None else loc
  /external/tensorflow/tensorflow/contrib/gan/python/losses/python/
losses_impl.py 347 real_data = ops.convert_to_tensor(real_data)
348 generated_data = ops.convert_to_tensor(generated_data)
825 return tensor_util.constant_value(ops.convert_to_tensor(weight))
    [all...]
  /external/tensorflow/tensorflow/python/kernel_tests/distributions/
special_math_test.py 268 grid = ops.convert_to_tensor(raw_grid)
428 grid = ops.convert_to_tensor(grid)
447 grid = ops.convert_to_tensor(grid)
  /external/tensorflow/tensorflow/python/ops/distributions/
transformed_distribution.py 48 return tensor_util.constant_value(ops.convert_to_tensor(x))
394 sample_shape = ops.convert_to_tensor(
561 override_shape = ops.convert_to_tensor(override_shape, dtype=dtypes.int32,
  /external/tensorflow/tensorflow/python/ops/linalg/
linear_operator_identity.py 394 mat = ops.convert_to_tensor(mat, name="mat")
597 self._multiplier = ops.convert_to_tensor(multiplier, name="multiplier")
711 mat = ops.convert_to_tensor(mat, name="mat")
  /external/tensorflow/tensorflow/compiler/tests/
scan_ops_test.py 135 input_tensor = ops.convert_to_tensor(x)
213 input_tensor = ops.convert_to_tensor(x)
  /external/tensorflow/tensorflow/contrib/data/python/kernel_tests/
stats_dataset_ops_test.py 54 lambda x: array_ops.tile([x], ops.convert_to_tensor([x]))).apply(
218 lambda x: array_ops.tile([x], ops.convert_to_tensor([x]))).apply(
  /external/tensorflow/tensorflow/contrib/kfac/python/ops/
utils.py 314 ops.convert_to_tensor(dydx)
473 A_diag = ops.convert_to_tensor(A_diag)
  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
periodic.py 151 period_additions_reversed = (ops.convert_to_tensor(
372 num_steps=ops.convert_to_tensor(
  /external/tensorflow/tensorflow/contrib/training/python/training/
sequence_queueing_state_saver.py 66 length = ops.convert_to_tensor(length, name="length")
67 key = ops.convert_to_tensor(key, name="key")
84 sequences = dict((k, ops.convert_to_tensor(
86 context = dict((k, ops.convert_to_tensor(
317 states = dict((k, ops.convert_to_tensor(
    [all...]
  /external/tensorflow/tensorflow/python/kernel_tests/
batchtospace_op_test.py 239 tf_x = ops.convert_to_tensor(x)
297 tf_x = ops.convert_to_tensor(x)
pad_op_test.py 97 inx = ops.convert_to_tensor(x)
99 ina = ops.convert_to_tensor(a)
sparse_tensors_map_ops_test.py 110 sparse_handles = ops.convert_to_tensor(
158 handle_concat = ops.convert_to_tensor(
  /external/tensorflow/tensorflow/python/ops/
embedding_ops.py 84 rank = ops.convert_to_tensor(x).get_shape().ndims
148 ids = ops.convert_to_tensor(ids, name="ids")
  /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/
variable_utils_test.py 35 x = ops.convert_to_tensor(x, name="x")
  /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
cholesky_outer_product.py 94 event_ndims = ops.convert_to_tensor(event_ndims, name="event_ndims")

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