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6 Commits

Author SHA1 Message Date
amlrelsa-ms
dadc93cfe5 update samples from Release-128 as a part of SDK release 2022-03-22 00:51:19 +00:00
Harneet Virk
c7076bf95c Merge pull request #1715 from Azure/release_update/Release-127
update samples from Release-127 as a part of  SDK release
2022-03-15 17:02:41 -07:00
amlrelsa-ms
ebdffd5626 update samples from Release-127 as a part of SDK release 2022-03-16 00:00:00 +00:00
Harneet Virk
d123880562 Merge pull request #1711 from Azure/release_update/Release-126
update samples from Release-126 as a part of  SDK release
2022-03-11 16:53:06 -08:00
amlrelsa-ms
4864e8ea60 update samples from Release-126 as a part of SDK release 2022-03-12 00:47:46 +00:00
Harneet Virk
c86db0d7fd Merge pull request #1707 from Azure/release_update/Release-124
update samples from Release-124 as a part of  SDK release
2022-03-08 09:15:45 -08:00
4 changed files with 5 additions and 4 deletions

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@@ -167,6 +167,7 @@
" # To use BERT (this is recommended for best performance), select a GPU such as \"STANDARD_NC6\" \n",
" # or similar GPU option\n",
" # available in your workspace\n",
" idle_seconds_before_scaledown = 60,\n",
" max_nodes = num_nodes)\n",
" compute_target = ComputeTarget.create(ws, amlcompute_cluster_name, compute_config)\n",
"\n",

View File

@@ -163,7 +163,7 @@
"metadata": {},
"outputs": [],
"source": [
"fastai_env.docker.base_image = \"fastdotai/fastai:latest\"\n",
"fastai_env.docker.base_image = \"fastdotai/fastai:2021-02-11\"\n",
"fastai_env.python.user_managed_dependencies = True"
]
},

View File

@@ -6,5 +6,5 @@ dependencies:
- pillow==5.4.1
- matplotlib
- numpy==1.19.3
- https://download.pytorch.org/whl/cpu/torch-1.6.0%2Bcpu-cp36-cp36m-win_amd64.whl
- https://download.pytorch.org/whl/cpu/torchvision-0.7.0%2Bcpu-cp36-cp36m-win_amd64.whl
- https://download.pytorch.org/whl/cpu/torch-1.6.0%2Bcpu-cp38-cp38-win_amd64.whl
- https://download.pytorch.org/whl/cpu/torchvision-0.7.0%2Bcpu-cp38-cp38-win_amd64.whl

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@@ -26,6 +26,6 @@ RUN conda install -y conda=4.7.12 python=3.7 && conda clean -ay && \
ray[rllib,dashboard,tune]==0.8.3 \
psutil \
setproctitle \
gym[classic_control] && \
gym[classic_control]==0.22.0 && \
conda install -y -c conda-forge x264='1!152.20180717' ffmpeg=4.0.2 && \
conda install -c anaconda opencv