40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. 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 paddle
|
|
import numbers
|
|
import numpy as np
|
|
|
|
|
|
class DataCollator:
|
|
def __call__(self, batch):
|
|
data_dict = {}
|
|
to_tensor_keys = []
|
|
for sample in batch:
|
|
for k, v in sample.items():
|
|
if k not in data_dict:
|
|
data_dict[k] = []
|
|
if isinstance(v, (np.ndarray, paddle.Tensor, numbers.Number)):
|
|
if k not in to_tensor_keys:
|
|
to_tensor_keys.append(k)
|
|
data_dict[k].append(v)
|
|
for k in to_tensor_keys:
|
|
data_dict[k] = paddle.to_tensor(data_dict[k])
|
|
return data_dict
|
|
|
|
|
|
class DataCollatorNoBatch:
|
|
def __call__(self, batch):
|
|
return batch[0]
|