{ }
Returns the index with the largest value across dimensions of a tensor. (deprecated)
tf.compat.v1.arg_max(
input: Annotated[Any, tf.raw_ops.Any
],
dimension: Annotated[Any, tf.raw_ops.Any
],
output_type: TV_ArgMax_output_type = tf.dtypes.int64
,
name=None
) -> Annotated[Any, tf.raw_ops.Any
]
Note that in case of ties the identity of the return value is not guaranteed.
Usage | |
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|
Args | |
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input
|
A Tensor . Must be one of the following types: float32 , float64 , int32 , uint8 , int16 , int8 , int64 , bfloat16 , uint16 , half , uint32 , uint64 , qint8 , quint8 , qint32 , qint16 , quint16 , bool .
|
dimension
|
A Tensor . Must be one of the following types: int16 , int32 , int64 .
int16, int32 or int64, must be in the range [-rank(input), rank(input)) .
Describes which dimension of the input Tensor to reduce across. For vectors,
use dimension = 0.
|
output_type
|
An optional tf.DType from: tf.int16, tf.uint16, tf.int32, tf.int64 . Defaults to tf.int64 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type output_type .
|