tf.raw_ops.Min

Computes the minimum of elements across dimensions of a tensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.Min

tf.raw_ops.Min(
    input, axis, keep_dims=False, name=None
)

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

Args
input	A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. The tensor to reduce.
axis	A Tensor. Must be one of the following types: int32, int64. The dimensions to reduce. Must be in the range [-rank(input), rank(input)).
keep_dims	An optional bool. Defaults to False. If true, retain reduced dimensions with length 1.
name	A name for the operation (optional).

Returns
A Tensor. Has the same type as input.