################################################################################
# Copyright(c)2020-2025 Shanghai Biren Technology Co., Ltd. All rights reserved.
# 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.
#
################################################################################

import torch_br


def convBB(input_tensor):
    o_layout = torch_br.supa._debug.get_tensor_info(input_tensor)[0]["layout"]
    o_layout = o_layout.lower()
    input_tensor_supa = torch_br._empty_ut_only(
        size=input_tensor.shape,
        dtype=input_tensor.dtype,
        is_numa=False,
        device=input_tensor.device,
        tensor_type=o_layout,
        sbp="BB",
    )
    input_tensor_supa.copy_(input_tensor)
    return input_tensor_supa


def convSB(input_tensor, axis: int):
    o_layout = torch_br.supa._debug.get_tensor_info(input_tensor)[0]["layout"]
    o_layout = o_layout.lower()
    input_tensor_supa = torch_br._empty_ut_only(
        size=input_tensor.shape,
        dtype=input_tensor.dtype,
        is_numa=False,
        device=input_tensor.device,
        tensor_type=o_layout,
        sbp="SB",
        axis=axis,
    )
    input_tensor_supa.copy_(input_tensor)
    return input_tensor_supa