tf.reduce_min()

tf.reduce_min(input_tensor, reduction_indices=None, keep_dims=False, name=None)

Computes the minimum of elements across dimensions of a tensor.

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

If reduction_indices has no entries, all dimensions are reduced, and a tensor with a single element is returned.

Args:

• input_tensor: The tensor to reduce. Should have numeric type.
• reduction_indices: The dimensions to reduce. If None (the default), reduces all dimensions.
• keep_dims: If true, retains reduced dimensions with length 1.
• name: A name for the operation (optional).

Returns:

The reduced tensor.