42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
# Copyright 2024 Bytedance Ltd. and/or its affiliates
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#
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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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import torch
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class MemoryBuffer:
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def __init__(self, numel, numel_padded, dtype):
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self.numel = numel
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self.numel_padded = numel_padded
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self.dtype = dtype
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self.data = torch.zeros(self.numel_padded,
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dtype=self.dtype,
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device=torch.cuda.current_device(),
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requires_grad=False)
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def zero(self):
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"""Reset the buffer to zero."""
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self.data.zero_()
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def get(self, shape, start_index):
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"""Return a tensor with the input `shape` as a view into the
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1-D data starting at `start_index`."""
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end_index = start_index + shape.numel()
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assert end_index <= self.numel, \
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'requested tensor is out of the buffer range.'
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buffer_tensor = self.data[start_index:end_index]
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buffer_tensor = buffer_tensor.view(shape)
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return buffer_tensor
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