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updated workflow and entry_point #57

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merged 1 commit into from
Apr 3, 2023
Merged

updated workflow and entry_point #57

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3 changes: 2 additions & 1 deletion .github/workflows/update-cloud-providers.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -26,4 +26,5 @@ jobs:

- name: Upload cloud provider file to S3
run: |
aws s3 cp skyline-vscode/react-ui/src/schema/providers.json s3://deepview-explorer-public/vscode-cloud-providers/
aws s3 cp skyline-vscode/react-ui/src/schema/providers.json s3://deepview-explorer-public/vscode-cloud-providers/
aws s3api put-object-acl --bucket deepview-explorer-public --key vscode-cloud-providers/providers.json --acl public-read
6 changes: 3 additions & 3 deletions examples/dcgan2/entry_point.py
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Expand Up @@ -10,7 +10,7 @@
ngpu = 1
image_size = 32

def skyline_model_provider():
def deepview_model_provider():
if network == 'G':
net = DVAE.DCGAN_G(image_size, nz, nc, ngf, ngpu)
elif network == 'E':
Expand All @@ -19,7 +19,7 @@ def skyline_model_provider():
return net.cuda()


def skyline_input_provider(batch_size=1024):
def deepview_input_provider(batch_size=1024):
"""
target torch.Size([131072])
going into E torch.Size([128, 1, 32, 32])
Expand All @@ -40,7 +40,7 @@ def skyline_input_provider(batch_size=1024):
torch.randint(low=0, high=1000, size=output_shape).cuda(),
)

def skyline_iteration_provider(model):
def deepview_iteration_provider(model):
optimizer = torch.optim.SGD(model.parameters(), lr=1e-3)
def iteration(inputs, targets):
optimizer.zero_grad()
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