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Remove TODOs #310

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Warvito merged 1 commit into from
Mar 16, 2023
Merged

Remove TODOs #310

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10 changes: 0 additions & 10 deletions tutorials/generative/2d_autoencoderkl/2d_autoencoderkl_tutorial.ipynb
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Expand Up @@ -23,16 +23,6 @@
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "6f87583c",
"metadata": {},
"outputs": [],
"source": [
"# TODO: Add buttom with \"Open with Colab\""
]
},
{
"cell_type": "markdown",
"id": "2caa73e1",
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4 changes: 0 additions & 4 deletions tutorials/generative/2d_autoencoderkl/2d_autoencoderkl_tutorial.py
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Expand Up @@ -16,10 +16,6 @@
#
#

# +
# TODO: Add buttom with "Open with Colab"
# -

# ## Set up environment using Colab

# !pip install -q "monai-weekly[tqdm]==1.1.dev2239"
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3 changes: 0 additions & 3 deletions tutorials/generative/2d_ddpm/2d_ddpm_compare_schedulers.ipynb
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Expand Up @@ -16,7 +16,6 @@
"[3] - PNDM - Liu et al. \"Pseudo Numerical Methods for Diffusion Models on Manifolds\" https://arxiv.org/abs/2202.09778\n",
"\n",
"\n",
"TODO: Add Open in Colab\n",
"\n",
"## Setup environment"
]
Expand Down Expand Up @@ -108,8 +107,6 @@
"from tqdm import tqdm\n",
"\n",
"from generative.inferers import DiffusionInferer\n",
"\n",
"# TODO: Add right import reference after deployed\n",
"from generative.networks.nets import DiffusionModelUNet\n",
"from generative.networks.schedulers import DDIMScheduler, DDPMScheduler, PNDMScheduler\n",
"\n",
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3 changes: 0 additions & 3 deletions tutorials/generative/2d_ddpm/2d_ddpm_compare_schedulers.py
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Expand Up @@ -25,7 +25,6 @@
# [3] - PNDM - Liu et al. "Pseudo Numerical Methods for Diffusion Models on Manifolds" https://arxiv.org/abs/2202.09778
#
#
# TODO: Add Open in Colab
#
# ## Setup environment

Expand Down Expand Up @@ -64,8 +63,6 @@
from tqdm import tqdm

from generative.inferers import DiffusionInferer

# TODO: Add right import reference after deployed
from generative.networks.nets import DiffusionModelUNet
from generative.networks.schedulers import DDIMScheduler, DDPMScheduler, PNDMScheduler

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5 changes: 1 addition & 4 deletions tutorials/generative/2d_ddpm/2d_ddpm_inpainting.ipynb
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Expand Up @@ -13,7 +13,6 @@
"\n",
"[2] - Lugmayr et al. \"RePaint: Inpainting using Denoising Diffusion Probabilistic Models\" https://arxiv.org/abs/2201.09865\n",
"\n",
"TODO: Add Open in Colab\n",
"\n",
"## Setup environment"
]
Expand Down Expand Up @@ -109,8 +108,6 @@
"from tqdm import tqdm\n",
"\n",
"from generative.inferers import DiffusionInferer\n",
"\n",
"# TODO: Add right import reference after deployed\n",
"from generative.networks.nets import DiffusionModelUNet\n",
"from generative.networks.schedulers import DDPMScheduler\n",
"\n",
Expand Down Expand Up @@ -914,7 +911,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
"version": "3.10.6"
}
},
"nbformat": 4,
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5 changes: 1 addition & 4 deletions tutorials/generative/2d_ddpm/2d_ddpm_inpainting.py
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Expand Up @@ -6,7 +6,7 @@
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.14.1
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
Expand All @@ -22,7 +22,6 @@
#
# [2] - Lugmayr et al. "RePaint: Inpainting using Denoising Diffusion Probabilistic Models" https://arxiv.org/abs/2201.09865
#
# TODO: Add Open in Colab
#
# ## Setup environment

Expand Down Expand Up @@ -63,8 +62,6 @@
from tqdm import tqdm

from generative.inferers import DiffusionInferer

# TODO: Add right import reference after deployed
from generative.networks.nets import DiffusionModelUNet
from generative.networks.schedulers import DDPMScheduler

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16 changes: 1 addition & 15 deletions tutorials/generative/2d_ddpm/2d_ddpm_tutorial.ipynb
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Expand Up @@ -12,7 +12,6 @@
"\n",
"[1] - Ho et al. \"Denoising Diffusion Probabilistic Models\" https://arxiv.org/abs/2006.11239\n",
"\n",
"TODO: Add Open in Colab\n",
"\n",
"## Setup environment"
]
Expand Down Expand Up @@ -42,7 +41,6 @@
"execution_count": 2,
"id": "dd62a552",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -111,8 +109,6 @@
"from tqdm import tqdm\n",
"\n",
"from generative.inferers import DiffusionInferer\n",
"\n",
"# TODO: Add right import reference after deployed\n",
"from generative.networks.nets import DiffusionModelUNet\n",
"from generative.networks.schedulers import DDPMScheduler\n",
"\n",
Expand All @@ -138,7 +134,6 @@
"execution_count": 3,
"id": "8fc58c80",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -171,7 +166,6 @@
"execution_count": 4,
"id": "ad5a1948",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand All @@ -197,7 +191,6 @@
"execution_count": 5,
"id": "65e1c200",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -236,7 +229,6 @@
"execution_count": 6,
"id": "e2f9bebd",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -276,7 +268,6 @@
"execution_count": 7,
"id": "938318c2",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -326,7 +317,6 @@
"execution_count": 8,
"id": "b698f4f8",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -379,7 +369,6 @@
"execution_count": 9,
"id": "2c52e4f4",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
Expand Down Expand Up @@ -423,7 +412,6 @@
"execution_count": 10,
"id": "0f697a13",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
Expand Down Expand Up @@ -861,7 +849,6 @@
"execution_count": 11,
"id": "2cdcda81",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -911,7 +898,6 @@
"execution_count": 12,
"id": "1427e5d4",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -995,7 +981,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
"version": "3.10.6"
}
},
"nbformat": 4,
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5 changes: 1 addition & 4 deletions tutorials/generative/2d_ddpm/2d_ddpm_tutorial.py
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Expand Up @@ -6,7 +6,7 @@
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.14.1
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
Expand All @@ -21,7 +21,6 @@
#
# [1] - Ho et al. "Denoising Diffusion Probabilistic Models" https://arxiv.org/abs/2006.11239
#
# TODO: Add Open in Colab
#
# ## Setup environment

Expand Down Expand Up @@ -62,8 +61,6 @@
from tqdm import tqdm

from generative.inferers import DiffusionInferer

# TODO: Add right import reference after deployed
from generative.networks.nets import DiffusionModelUNet
from generative.networks.schedulers import DDPMScheduler

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19 changes: 2 additions & 17 deletions tutorials/generative/2d_ddpm/2d_ddpm_tutorial_ignite.ipynb
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Expand Up @@ -12,7 +12,6 @@
"\n",
"[1] - Ho et al. \"Denoising Diffusion Probabilistic Models\" https://arxiv.org/abs/2006.11239\n",
"\n",
"TODO: Add Open in Colab\n",
"\n",
"## Setup environment"
]
Expand Down Expand Up @@ -44,7 +43,6 @@
"execution_count": 2,
"id": "dd62a552",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -98,7 +96,6 @@
"import os\n",
"import shutil\n",
"import tempfile\n",
"from typing import Dict, Mapping, Optional, Union\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
Expand All @@ -114,8 +111,6 @@
"\n",
"from generative.inferers import DiffusionInferer\n",
"from generative.engines import DiffusionPrepareBatch\n",
"\n",
"# TODO: Add right import reference after deployed\n",
"from generative.networks.nets import DiffusionModelUNet\n",
"from generative.networks.schedulers import DDPMScheduler\n",
"\n",
Expand All @@ -141,7 +136,6 @@
"execution_count": 3,
"id": "8fc58c80",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -174,7 +168,6 @@
"execution_count": 4,
"id": "ad5a1948",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand All @@ -200,7 +193,6 @@
"execution_count": 5,
"id": "65e1c200",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -239,7 +231,6 @@
"execution_count": 6,
"id": "e2f9bebd",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -279,7 +270,6 @@
"execution_count": 7,
"id": "938318c2",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -329,7 +319,6 @@
"execution_count": 8,
"id": "b698f4f8",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -382,11 +371,9 @@
"execution_count": 9,
"id": "2c52e4f4",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"lines_to_next_cell": 0
}
},
"outputs": [],
"source": [
Expand Down Expand Up @@ -425,7 +412,6 @@
"execution_count": 11,
"id": "0f697a13",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
Expand Down Expand Up @@ -2156,7 +2142,6 @@
"execution_count": 12,
"id": "1427e5d4",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
Expand Down Expand Up @@ -2241,7 +2226,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.6"
}
},
"nbformat": 4,
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