format fix

python/mxnet/ndarray/numpy/_op.py

@@ -32,15 +32,15 @@
  'add', 'subtract', 'multiply', 'divide', 'mod', 'remainder', 'power',
  'arctan2', 'sin', 'cos', 'tan', 'sinh', 'cosh', 'tanh', 'log10', 'sqrt', 'cbrt', 'abs',
  'absolute', 'exp', 'expm1', 'arcsin', 'arccos', 'arctan', 'sign', 'log', 'degrees', 'log2',
- 'log1p', 'rint', 'radians', 'reciprocal', 'square', 'negative', 'fix', 'ceil', 'floor',
- 'trunc', 'logical_not', 'arcsinh', 'arccosh', 'arctanh', 'argsort', 'tensordot', 'histogram', 'eye',
- 'linspace', 'logspace', 'expand_dims', 'tile', 'arange', 'split', 'vsplit', 'concatenate', 'append',
+ 'log1p', 'rint', 'radians', 'reciprocal', 'square', 'negative', 'fix', 'ceil', 'floor', 'histogram',
+ 'trunc', 'logical_not', 'arcsinh', 'arccosh', 'arctanh', 'argsort', 'tensordot', 'eye', 'linspace',
+ 'logspace', 'expand_dims', 'tile', 'arange', 'array_split', 'split', 'vsplit', 'concatenate', 'append',
  'stack', 'vstack', 'column_stack', 'dstack', 'average', 'mean', 'maximum', 'minimum', 'swapaxes', 'clip',
  'argmax', 'argmin', 'std', 'var', 'indices', 'copysign', 'ravel', 'unravel_index', 'hanning', 'hamming',
  'blackman', 'flip', 'around', 'hypot', 'bitwise_xor', 'bitwise_or', 'rad2deg', 'deg2rad', 'unique', 'lcm',
  'tril', 'identity', 'take', 'ldexp', 'vdot', 'inner', 'outer', 'equal', 'not_equal', 'greater', 'less',
  'greater_equal', 'less_equal', 'hsplit', 'rot90', 'einsum', 'true_divide', 'nonzero', 'shares_memory',
- 'may_share_memory', 'diff', 'resize', 'nan_to_num', 'where', 'array_split']
+ 'may_share_memory', 'diff', 'resize', 'nan_to_num', 'where']
 
 
 @set_module('mxnet.ndarray.numpy')
@@ -3087,7 +3087,7 @@ def array_split(ary, indices_or_sections, axis=0):
  indices = [0] + list(indices_or_sections)
  else:
  raise ValueError('indices_or_sections must be either int, or tuple / list / set of ints')
- ret = _npi.array_split(ary, indices, axis, False, sections)
+ ret = _npi.split(ary, indices, axis, False, sections)
  if not isinstance(ret, list):
  return [ret]
  return ret

python/mxnet/numpy/multiarray.py

@@ -50,16 +50,16 @@
  'add', 'subtract', 'multiply', 'divide', 'mod', 'remainder', 'power',
  'arctan2', 'sin', 'cos', 'tan', 'sinh', 'cosh', 'tanh', 'log10',
  'sqrt', 'cbrt', 'abs', 'absolute', 'exp', 'expm1', 'arcsin', 'arccos', 'arctan', 'sign', 'log',
- 'degrees', 'log2', 'log1p', 'rint', 'radians', 'reciprocal', 'square', 'negative',
+ 'degrees', 'log2', 'log1p', 'rint', 'radians', 'reciprocal', 'square', 'negative', 'histogram',
  'fix', 'ceil', 'floor', 'trunc', 'logical_not', 'arcsinh', 'arccosh', 'arctanh', 'append', 'argsort',
- 'tensordot', 'histogram', 'eye', 'linspace', 'logspace', 'expand_dims', 'tile', 'arange',
+ 'tensordot', 'eye', 'linspace', 'logspace', 'expand_dims', 'tile', 'arange', 'array_split',
  'split', 'vsplit', 'concatenate', 'stack', 'vstack', 'column_stack', 'dstack', 'average', 'mean',
  'maximum', 'minimum', 'swapaxes', 'clip', 'argmax', 'argmin', 'std', 'var', 'indices', 'copysign',
  'ravel', 'unravel_index', 'hanning', 'hamming', 'blackman', 'flip', 'around', 'arctan2', 'hypot',
  'bitwise_xor', 'bitwise_or', 'rad2deg', 'deg2rad', 'unique', 'lcm', 'tril', 'identity', 'take',
  'ldexp', 'vdot', 'inner', 'outer', 'equal', 'not_equal', 'greater', 'less', 'greater_equal',
  'less_equal', 'hsplit', 'rot90', 'einsum', 'true_divide', 'nonzero', 'shares_memory',
- 'may_share_memory', 'diff', 'resize', 'nan_to_num', 'where', 'array_split']
+ 'may_share_memory', 'diff', 'resize', 'nan_to_num', 'where']
 
 # Return code for dispatching indexing function call
 _NDARRAY_UNSUPPORTED_INDEXING = -1

python/mxnet/symbol/numpy/_symbol.py

@@ -40,9 +40,9 @@
  'add', 'subtract', 'multiply', 'divide', 'mod', 'remainder', 'power', 'arctan2',
  'sin', 'cos', 'tan', 'sinh', 'cosh', 'tanh', 'log10', 'sqrt', 'cbrt', 'abs', 'absolute', 'exp',
  'expm1', 'arcsin', 'arccos', 'arctan', 'sign', 'log', 'degrees', 'log2', 'log1p',
- 'rint', 'radians', 'reciprocal', 'square', 'negative', 'fix', 'ceil', 'floor', 'array_split',
- 'trunc', 'logical_not', 'arcsinh', 'arccosh', 'arctanh', 'argsort', 'tensordot', 'histogram', 'eye',
- 'linspace', 'logspace', 'expand_dims', 'tile', 'arange', 'split', 'vsplit', 'concatenate', 'append',
+ 'rint', 'radians', 'reciprocal', 'square', 'negative', 'fix', 'ceil', 'floor', 'histogram',
+ 'trunc', 'logical_not', 'arcsinh', 'arccosh', 'arctanh', 'argsort', 'tensordot', 'eye', 'linspace', 
+ 'logspace', 'expand_dims', 'tile', 'arange', 'array_split', 'split', 'vsplit', 'concatenate', 'append',
  'stack', 'vstack', 'column_stack', 'dstack', 'average', 'mean', 'maximum', 'minimum', 'swapaxes', 'clip',
  'argmax', 'argmin', 'std', 'var', 'indices', 'copysign', 'ravel', 'unravel_index', 'hanning', 'hamming',
  'blackman', 'flip', 'around', 'hypot', 'bitwise_xor', 'bitwise_or', 'rad2deg', 'deg2rad', 'unique', 'lcm',
@@ -3157,7 +3157,7 @@ def array_split(ary, indices_or_sections, axis=0):
  indices = [0] + list(indices_or_sections)
  else:
  raise ValueError('indices_or_sections must either int or tuple / list / set of ints')
- ret = _npi.array_split(ary, indices, axis, False, sections)
+ ret = _npi.split(ary, indices, axis, False, sections)
  if not isinstance(ret, list):
  return [ret]
  return ret

src/operator/tensor/matrix_op.cc

@@ -1038,7 +1038,6 @@ Example::
 
 NNVM_REGISTER_OP(_split_v2)
 .add_alias("_npi_split")
-.add_alias("_npi_array_split")
 .describe(R"code(Splits an array along a particular axis into multiple sub-arrays.
 Example::
  x = [[[ 1.]
@@ -1107,7 +1106,6 @@ Example::
 .add_arguments(SplitParam::__FIELDS__());
 
 NNVM_REGISTER_OP(_split_v2_backward)
-.add_alias("_backward_npi_array_split")
 .set_attr_parser(ParamParser<SplitParam>)
 .set_num_inputs(SplitNumOutputs)
 .set_num_outputs(1)

src/operator/tensor/matrix_op.cu

@@ -219,11 +219,9 @@ NNVM_REGISTER_OP(space_to_depth)
 .set_attr<FCompute>("FCompute<gpu>", SpaceToDepthOpForward<gpu>);
 
 NNVM_REGISTER_OP(_split_v2)
-.add_alias("_npi_array_split")
 .set_attr<FCompute>("FCompute<gpu>", SplitOpForward<gpu>);
 
 NNVM_REGISTER_OP(_split_v2_backward)
-.add_alias("_backward_npi_array_split")
 .set_attr<FCompute>("FCompute<gpu>", SplitOpBackward<gpu>);
 
 } // namespace op