Source code for tripy.frontend.dimension_size

#
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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# See the License for the specific language governing permissions and
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from typing import Optional

from tripy import export
from tripy.common.datatype import int32
from tripy.frontend.tensor import Tensor



[docs]
@export.public_api(document_under="tensor")
class DimensionSize(Tensor):
    """
    A 0D, :class:`int32` tensor that represents a scalar value extracted from the shape of a tensor.
    """

    def __init__(self, data: int, name: Optional[str] = None) -> None:
        r"""
        Args:
            data: The value of the DimensionSize, which should be a scalar integer.
            name: An optional name.
        """
        # NOTE: We do not use isinstance here because bool is a subclass of int.
        assert data is None or type(data) is int, "DimensionSize can only be created from integers"
        super().__init__(data=data, dtype=int32, name=name)

    def __int__(self) -> int:
        return self.tolist()

    def __repr__(self) -> str:
        return str(self)

    def __str__(self) -> str:
        val = self.tolist()
        assert isinstance(val, int)
        return str(val)