Source code for nvtripy.frontend.ops.binary.minimum

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# SPDX-License-Identifier: Apache-2.0
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from nvtripy import export
from nvtripy.frontend.ops.binary.create import create_binary_op
from nvtripy.trace.ops.binary import Min
from nvtripy.utils import wrappers




@export.public_api(document_under="operations/functions")
@wrappers.interface(
    dtype_constraints={"lhs": "T1", "rhs": "T1", wrappers.RETURN_VALUE: "T1"},
    dtype_variables={"T1": ["float32", "float16", "bfloat16", "int8", "int32", "int64", "bool"]},
)
def minimum(lhs: "nvtripy.Tensor", rhs: "nvtripy.Tensor") -> "nvtripy.Tensor":
    """
    Performs an elementwise minimum.

    Args:
        lhs: The first input tensor.
        rhs: The second input tensor.
            It should be broadcast-compatible.

    Returns:
        A new tensor with the broadcasted shape.

    .. code-block:: python
        :linenos:

        a = tp.Tensor([1.0, 6.0])
        b = tp.Tensor([2.0, 3.0])
        output = tp.minimum(a, b)

        assert np.array_equal(cp.from_dlpack(output).get(), np.array([1.0, 3.0]))
    """
    return create_binary_op(Min, lhs, rhs)