@tf_export(v1=['math.reduce_max', 'reduce_max'])
@deprecation.deprecated_args(None, 'keep_dims is deprecated, use keepdims instead', 'keep_dims')
def reduce_max_v1(input_tensor, axis=None, keepdims=None, name=None, reduction_indices=None, keep_dims=None):
    'Computes the maximum of elements across dimensions of a tensor.\n\n  Reduces `input_tensor` along the dimensions given in `axis`.\n  Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each\n  entry in `axis`. If `keepdims` is true, the reduced dimensions\n  are retained with length 1.\n\n  If `axis` is None, all dimensions are reduced, and a\n  tensor with a single element is returned.\n\n  Args:\n    input_tensor: The tensor to reduce. Should have real numeric type.\n    axis: The dimensions to reduce. If `None` (the default),\n      reduces all dimensions. Must be in the range\n      `[-rank(input_tensor), rank(input_tensor))`.\n    keepdims: If true, retains reduced dimensions with length 1.\n    name: A name for the operation (optional).\n    reduction_indices: The old (deprecated) name for axis.\n    keep_dims: Deprecated alias for `keepdims`.\n\n  Returns:\n    The reduced tensor.\n\n  @compatibility(numpy)\n  Equivalent to np.max\n  @end_compatibility\n  '
    axis = deprecation.deprecated_argument_lookup('axis', axis, 'reduction_indices', reduction_indices)
    keepdims = deprecation.deprecated_argument_lookup('keepdims', keepdims, 'keep_dims', keep_dims)
    return reduce_max(input_tensor, axis, keepdims, name)
Computes the maximum of elements across dimensions of a tensor.

Reduces `input_tensor` along the dimensions given in `axis`.
Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each
entry in `axis`. If `keepdims` is true, the reduced dimensions
are retained with length 1.

If `axis` is None, all dimensions are reduced, and a
tensor with a single element is returned.

Args:
  input_tensor: The tensor to reduce. Should have real numeric type.
  axis: The dimensions to reduce. If `None` (the default),
    reduces all dimensions. Must be in the range
    `[-rank(input_tensor), rank(input_tensor))`.
  keepdims: If true, retains reduced dimensions with length 1.
  name: A name for the operation (optional).
  reduction_indices: The old (deprecated) name for axis.
  keep_dims: Deprecated alias for `keepdims`.

Returns:
  The reduced tensor.

@compatibility(numpy)
Equivalent to np.max
@end_compatibility
@tf_export(v1=['math.reduce_max', 'reduce_max'])
@deprecation.deprecated_args(None, 'keep_dims is deprecated, use keepdims instead', 'keep_dims')
def reduce_max_v1(input_tensor, axis=None, keepdims=None, name=None, reduction_indices=None, keep_dims=None):
    'Computes the maximum of elements across dimensions of a tensor.\n\n  Reduces `input_tensor` along the dimensions given in `axis`.\n  Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each\n  entry in `axis`. If `keepdims` is true, the reduced dimensions\n  are retained with length 1.\n\n  If `axis` is None, all dimensions are reduced, and a\n  tensor with a single element is returned.\n\n  Args:\n    input_tensor: The tensor to reduce. Should have real numeric type.\n    axis: The dimensions to reduce. If `None` (the default),\n      reduces all dimensions. Must be in the range\n      `[-rank(input_tensor), rank(input_tensor))`.\n    keepdims: If true, retains reduced dimensions with length 1.\n    name: A name for the operation (optional).\n    reduction_indices: The old (deprecated) name for axis.\n    keep_dims: Deprecated alias for `keepdims`.\n\n  Returns:\n    The reduced tensor.\n\n  @compatibility(numpy)\n  Equivalent to np.max\n  @end_compatibility\n  '
    axis = deprecation.deprecated_argument_lookup('axis', axis, 'reduction_indices', reduction_indices)
    keepdims = deprecation.deprecated_argument_lookup('keepdims', keepdims, 'keep_dims', keep_dims)
    return reduce_max(input_tensor, axis, keepdims, name)