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removed two docs that had no content
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title: Efficient training on CPU
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- local: perf_train_cpu_many
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title: Distributed CPU training
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- local: perf_train_tpu
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title: Training on TPUs
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# - local: perf_train_tpu
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# title: Training on TPUs
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- local: perf_train_tpu_tf
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title: Training on TPU with TensorFlow
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- local: perf_train_special
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title: Training on Specialized Hardware
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# - local: perf_train_special
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# title: Training on Specialized Hardware
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- local: perf_hardware
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title: Custom hardware for training
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- local: hpo_train
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@ -1,24 +0,0 @@
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<!--Copyright 2022 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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-->
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# Training on Specialized Hardware
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<Tip>
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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.
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</Tip>
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This document will be completed soon with information on how to train on specialized hardware.
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@ -1,24 +0,0 @@
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<!--Copyright 2022 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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-->
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# Training on TPUs
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<Tip>
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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.
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</Tip>
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This document will be completed soon with information on how to train on TPUs.
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