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