## SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.# SPDX-License-Identifier: Apache-2.0## 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## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.#fromtypingimportOptionalfromnvtripyimportexportfromnvtripy.common.datatypeimportint32fromnvtripy.frontend.tensorimportTensor
[docs]@export.public_api(document_under="tensor")classDimensionSize(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. """super().__init__(data=data,dtype=int32,name=name)# Internal use only, leave undocumented so it's not exported.# Creates a DimensionSize with data without checking (so None is permitted, which we do not want in the public constructor)# and no overhead from the dispatch system.@staticmethoddefcreate_directly(data:Optional[int],name:Optional[str]=None)->"nvtripy.DimensionSize":instance=DimensionSize.__new__(DimensionSize)Tensor.raw_init(instance,data=data,dtype=int32,name=name)returninstancedef__int__(self)->int:returnself.tolist()def__repr__(self)->str:returnstr(self)def__str__(self)->str:val=self.tolist()assertisinstance(val,int)returnstr(val)