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/external/tensorflow/tensorflow/python/ops/numpy_ops/
Dnp_array_ops.py1093 def _atleast_nd(n, new_shape, *arys): argument
1115 arys = list(map(f, arys))
1116 if len(arys) == 1:
1117 return arys[0]
1119 return arys
1123 def atleast_1d(*arys): argument
1124 return _atleast_nd(1, _pad_left_to, *arys)
1128 def atleast_2d(*arys): argument
1129 return _atleast_nd(2, _pad_left_to, *arys)
1133 def atleast_3d(*arys): # pylint: disable=missing-docstring argument
[all …]
Dnp_math_ops.py1130 def concatenate(arys, axis=0): argument
1131 if not isinstance(arys, (list, tuple)):
1132 arys = [arys]
1133 if not arys:
1135 dtype = np_utils.result_type(*arys)
1136 arys = [np_array_ops.array(array, dtype=dtype) for array in arys]
1137 return array_ops.concat(arys, axis)
Dnp_array_ops_test.py1151 for arys in itertools.combinations_with_replacement(possible_arys, r):
1152 tnp_ans = np_array_ops.ix_(*arys)
1153 onp_ans = np.ix_(*arys)
/external/tensorflow/third_party/py/numpy/tf_numpy_api/
Dtensorflow.experimental.numpy.pbtxt225 argspec: "args=[], varargs=arys, keywords=None, defaults=None"
229 argspec: "args=[], varargs=arys, keywords=None, defaults=None"
233 argspec: "args=[], varargs=arys, keywords=None, defaults=None"
281 argspec: "args=[\'arys\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], "