# SPDX-FileCopyrightText: Copyright (c) 2025 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.fromnvtripyimportexportfromnvtripy.commonimportdatatypeasdtfromnvtripy.frontend.opsimportutilsasop_utilsfromnvtripy.trace.ops.unaryimportSqrtfromnvtripy.frontendimportwrappersfromnvtripy.frontend.constraintsimportGetInput,GetReturn,OneOf
[docs]@export.public_api(document_under="operations/functions")@wrappers.interface(input_requirements=OneOf(GetInput("input").dtype,[dt.float32,dt.float16,dt.bfloat16]),output_guarantees=GetReturn(0).dtype==GetInput("input").dtype,)defsqrt(input:"nvtripy.Tensor")->"nvtripy.Tensor":""" Computes the elementwise square root of the elements of the input tensor. Args: input: The input tensor. Returns: A new tensor of the same shape as the input tensor. .. code-block:: python :linenos: input = tp.arange(3, dtype=tp.float32) + 1.0 output = tp.sqrt(input) assert tp.allclose(output, tp.Tensor(np.sqrt(cp.from_dlpack(input).get()))) """returnop_utils.create_op(Sqrt,[input])