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53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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from abc import abstractmethod
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import paddle
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from paddlevideo.utils import get_dist_info
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from .registry import METRIC
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class BaseMetric(object):
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def __init__(self, data_size, batch_size, log_interval=1, **kwargs):
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self.data_size = data_size
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self.batch_size = batch_size
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_, self.world_size = get_dist_info()
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self.log_interval = log_interval
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def gather_from_gpu(self,
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gather_object: paddle.Tensor,
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concat_axis=0) -> paddle.Tensor:
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"""gather Tensor from all gpus into a list and concatenate them on `concat_axis`.
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Args:
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gather_object (paddle.Tensor): gather object Tensor
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concat_axis (int, optional): axis for concatenation. Defaults to 0.
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Returns:
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paddle.Tensor: gatherd & concatenated Tensor
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"""
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gather_object_list = []
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paddle.distributed.all_gather(gather_object_list, gather_object.cuda())
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return paddle.concat(gather_object_list, axis=concat_axis)
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@abstractmethod
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def update(self):
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raise NotImplementedError(
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"'update' method must be implemented in subclass")
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@abstractmethod
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def accumulate(self):
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raise NotImplementedError(
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"'accumulate' method must be implemented in subclass")
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