49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
################################################################################
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# Copyright(c)2020-2025 Shanghai Biren Technology Co., Ltd. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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################################################################################
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import torch_br
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def convBB(input_tensor):
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o_layout = torch_br.supa._debug.get_tensor_info(input_tensor)[0]["layout"]
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o_layout = o_layout.lower()
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input_tensor_supa = torch_br._empty_ut_only(
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size=input_tensor.shape,
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dtype=input_tensor.dtype,
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is_numa=False,
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device=input_tensor.device,
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tensor_type=o_layout,
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sbp="BB",
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)
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input_tensor_supa.copy_(input_tensor)
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return input_tensor_supa
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def convSB(input_tensor, axis: int):
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o_layout = torch_br.supa._debug.get_tensor_info(input_tensor)[0]["layout"]
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o_layout = o_layout.lower()
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input_tensor_supa = torch_br._empty_ut_only(
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size=input_tensor.shape,
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dtype=input_tensor.dtype,
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is_numa=False,
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device=input_tensor.device,
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tensor_type=o_layout,
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sbp="SB",
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axis=axis,
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)
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input_tensor_supa.copy_(input_tensor)
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return input_tensor_supa
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