amax(x: Tensor, dim: int | Sequence[int] | None = None, keepdim: bool = False)Reduce x to per-slice maxima along dim — values only.
Multi-axis sibling of lucid.max that returns only the
reduced values (never the indices) and accepts a tuple of axes
for a single fused reduction. Use when you don't need the
(values, indices) tuple lucid.max returns.
Parameters
Input tensor.
dimint, sequence of int, or None= NoneAxis or axes to reduce.
None (default) reduces over every
axis and returns a 0-D scalar tensor.keepdimbool= FalseRetain the reduced axes as size-1 dimensions. Default
False.Returns
TensorMaxima along dim; shape depends on dim and keepdim.
See Also
amin—analogous minimum reduction.lucid.max—returns(values, indices)for a single axis.