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[feat] update requirements
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README.md
17
README.md
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@ -146,7 +146,7 @@ Other useful documents and links are listed below.
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### Install from Source
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For CUDA 12.1, you can install the dependencies with the following commands. Otherwise, please refer to [Installation](docs/installation.md) for more instructions.
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For CUDA 12.1, you can install the dependencies with the following commands. Otherwise, please refer to [Installation](docs/installation.md) for more instructions on different cuda version, and additional dependency for data preprocessing.
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```bash
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# create a virtual env and activate (conda as an example)
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@ -159,9 +159,24 @@ pip install -r requirements/requirements_cu121.txt
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# install this project
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git clone https://github.com/hpcaitech/Open-Sora
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cd Open-Sora
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# the default installation is for inference only
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pip install -v .
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```
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(Optional, recommended for fast speed, especially for training) To enable `layernorm_kernel` and `flash_attn`, you need to install `apex` and `flash-attn` with the following commands.
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```bash
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# install flash attention
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# set enable_flash_attn=False in config to disable flash attention
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pip install packaging ninja
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pip install flash-attn --no-build-isolation
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# install apex
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# set enable_layernorm_kernel=False in config to disable apex
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pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" git+https://github.com/NVIDIA/apex.git
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```
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### Use Docker
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Run the following command to build a docker image from Dockerfile provided.
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@ -18,23 +18,11 @@ pip install torch==2.2.2 torchvision==0.17.2 --index-url https://download.pytorc
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pip install xformers --index-url https://download.pytorch.org/whl/cu121
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```
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## Different Dependencies
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The default installation is for inference only. Other optional dependencies are listed below.
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```bash
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# install flash attention (optional)
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# set enable_flash_attn=False in config to avoid using flash attention
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pip install packaging ninja
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pip install flash-attn --no-build-isolation
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# install apex (optional)
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# set enable_layernorm_kernel=False in config to avoid using apex
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pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" git+https://github.com/NVIDIA/apex.git
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pip install -v .[data] # for data preprocessing
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pip install -v .[eval] # for evaluation
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```
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gdown
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pre-commit
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pyarrow
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tensorboard
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transformers
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wandb
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pandarallel
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gradio
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spaces
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@ -16,7 +16,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -38,26 +38,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/zhengzangwei/.conda/envs/opensora/lib/python3.10/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
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" _torch_pytree._register_pytree_node(\n",
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"/home/zhengzangwei/.conda/envs/opensora/lib/python3.10/site-packages/colossalai/pipeline/schedule/_utils.py:19: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
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" _register_pytree_node(OrderedDict, _odict_flatten, _odict_unflatten)\n",
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"/home/zhengzangwei/.conda/envs/opensora/lib/python3.10/site-packages/torch/utils/_pytree.py:254: UserWarning: <class 'collections.OrderedDict'> is already registered as pytree node. Overwriting the previous registration.\n",
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" warnings.warn(\n",
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"/home/zhengzangwei/.conda/envs/opensora/lib/python3.10/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
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" _torch_pytree._register_pytree_node(\n",
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"/home/zhengzangwei/.conda/envs/opensora/lib/python3.10/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n",
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" _torch_pytree._register_pytree_node(\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import os\n",
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"from pprint import pformat\n",
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@ -90,20 +73,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"42"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"torch.set_grad_enabled(False)\n",
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"\n",
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@ -124,24 +96,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "dbb26c0ba0824c69b1e1d293fbfe3d9a",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"# == build text-encoder and vae ==\n",
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"text_encoder = build_module(cfg.text_encoder, MODELS, device=device)\n",
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@ -174,7 +131,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -314,7 +271,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -513,7 +470,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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"version": "3.10.14"
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}
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},
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"nbformat": 4,
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4
requirements/requirements-data.txt
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4
requirements/requirements-data.txt
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@ -0,0 +1,4 @@
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gdown
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# [aesthetic]
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clip @ git+https://github.com/openai/CLIP.git
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0
requirements/requirements-eval.txt
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0
requirements/requirements-eval.txt
Normal file
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@ -1,3 +0,0 @@
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packaging
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ninja
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flash-attn --no-build-isolation
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@ -7,3 +7,20 @@ ftfy>=6.2.0 # for t5
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diffusers==0.27.2 # for vae
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accelerate==0.29.2 # for t5
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av>=12.0.0
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# [gradio]
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gradio
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spaces
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# [notebook]
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ipykernel
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ipywidgets
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# [training]
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wandb
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tensorboard
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pandarallel
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pyarrow # for parquet
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# [dev]
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pre-commit
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