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vllm_br/model_executor/models/br_utils.py

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+################################################################################
+# 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