Kill the dummy TaskOutput when task.get_step() (#10739)#11048
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Kill the dummy TaskOutput when task.get_step() (#10739)#11048xush6528 wants to merge 1 commit intopytorch:masterfrom xush6528:export-D9566744
xush6528 wants to merge 1 commit intopytorch:masterfrom
xush6528:export-D9566744
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Summary: Pull Request resolved: #10739 I wanted to assert that the blobs in the workspace of the new session after loading checkpoint are exactly the same as the blobs in the workspace of the old session before saving to a checkpoint. But I found that when calling `task.get_step()`, a dummy task output blob, `task:output/ConstIntFill:0`, is added. Also a dummy net `task:output` was also added along with it. See https://fburl.com/937lf2yk This makes it hard to assert "Equal", forcing me to assert "LessThan" or "GreaterThan". This adding a dummy TaskOutput when user specifies no TaskOutput is a hack. The reason for this is that ZMQ socket can't send empty blob list. As a result, if the Task on the Worker had no output, The master would never stop waiting and hang forever. See https://fburl.com/rd7fhy6p and imagine `socket.recv(net, 0)`. TaskOuput is at user layer. The hack shouldn't be exposed to user layer, polluting user workspaces. Instead, we should move the creating of the dummy blob to some deeper layer, and remove the dummy blob in the workspace afterwards to avoid polluting user workspaces. After this change, the workaround becomes totally transparent and no side-effect to users. Differential Revision: D9566744 fbshipit-source-id: 36a0f6e9c4cb592b412eef4cb9b4b8edbb92c444
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Summary: Pull Request resolved: pytorch#11048 Pull Request resolved: pytorch#10739 I wanted to assert that the blobs in the workspace of the new session after loading checkpoint are exactly the same as the blobs in the workspace of the old session before saving to a checkpoint. But I found that when calling `task.get_step()`, a dummy task output blob, `task:output/ConstIntFill:0`, is added. Also a dummy net `task:output` was also added along with it. See https://fburl.com/937lf2yk This makes it hard to assert "Equal", forcing me to assert "LessThan" or "GreaterThan". This adding a dummy TaskOutput when user specifies no TaskOutput is a hack. The reason for this is that ZMQ socket can't send empty blob list. As a result, if the Task on the Worker had no output, The master would never stop waiting and hang forever. See https://fburl.com/rd7fhy6p and imagine `socket.recv(net, 0)`. TaskOuput is at user layer. The hack shouldn't be exposed to user layer, polluting user workspaces. Instead, we should move the creating of the dummy blob to some deeper layer, and remove the dummy blob in the workspace afterwards to avoid polluting user workspaces. After this change, the workaround becomes totally transparent and no side-effect to users. Reviewed By: mraway Differential Revision: D9566744 fbshipit-source-id: 18292dd64a6d48192c34034200a7c9811d2172af
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Summary:
Pull Request resolved: #10739
I wanted to assert that the blobs in the workspace of the new session after loading checkpoint are exactly the same as the blobs in the workspace of the old session before saving to a checkpoint.
But I found that when calling
task.get_step(), a dummy task output blob,task:output/ConstIntFill:0, is added. Also a dummy nettask:outputwas also added along with it. See https://fburl.com/937lf2ykThis makes it hard to assert "Equal", forcing me to assert "LessThan" or "GreaterThan".
This adding a dummy TaskOutput when user specifies no TaskOutput is a hack.
The reason for this is that ZMQ socket can't send empty blob list.
As a result, if the Task on the Worker had no output,
The master would never stop waiting and hang forever. See https://fburl.com/rd7fhy6p and imagine
socket.recv(net, 0).TaskOuput is at user layer. The hack shouldn't be exposed to user layer, polluting user workspaces.
Instead, we should move the creating of the dummy blob to some deeper layer,
and remove the dummy blob in the workspace afterwards to avoid polluting user workspaces.
After this change, the workaround becomes totally transparent and no side-effect to users.
Differential Revision: D9566744