removed two docs that had no content

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MKhalusova 2023-10-13 08:16:16 -04:00
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title: Efficient training on CPU
- local: perf_train_cpu_many
title: Distributed CPU training
- local: perf_train_tpu
title: Training on TPUs
# - local: perf_train_tpu
# title: Training on TPUs
- local: perf_train_tpu_tf
title: Training on TPU with TensorFlow
- local: perf_train_special
title: Training on Specialized Hardware
# - local: perf_train_special
# title: Training on Specialized Hardware
- local: perf_hardware
title: Custom hardware for training
- local: hpo_train

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<!--Copyright 2022 The HuggingFace Team. 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
⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Training on Specialized Hardware
<Tip>
Note: Most of the strategies introduced in the [single GPU section](perf_train_gpu_one) (such as mixed precision training or gradient accumulation) and [multi-GPU section](perf_train_gpu_many) are generic and apply to training models in general so make sure to have a look at it before diving into this section.
</Tip>
This document will be completed soon with information on how to train on specialized hardware.

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<!--Copyright 2022 The HuggingFace Team. 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
⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Training on TPUs
<Tip>
Note: Most of the strategies introduced in the [single GPU section](perf_train_gpu_one) (such as mixed precision training or gradient accumulation) and [multi-GPU section](perf_train_gpu_many) are generic and apply to training models in general so make sure to have a look at it before diving into this section.
</Tip>
This document will be completed soon with information on how to train on TPUs.