tf.compat.v1.reduce_max
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Computes the maximum of elements across dimensions of a tensor. (deprecated arguments)
tf.compat.v1.reduce_max(
input_tensor, axis=None, keepdims=None, name=None, reduction_indices=None,
keep_dims=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (keep_dims)
. They will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
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.
Numpy Compatibility
Equivalent to np.max
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Last updated 2020-10-01 UTC.
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