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Jan 18, 2022
distributed-computing
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What happened:
When creating a LocalCluster
object the comm is started on a random high port, even if there are no other clusters running.
What you expected to happen:
Should use port 8786
.
Minimal Complete Verifiable Example:
$ conda create -n dask-lc-test -c conda-forge -y python=3.8 ipython dask distributed
$ conda activate dask-lc-test
The `d
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It seems that the number of joining clients (not the num of computing clients) is fixed in fedml_api/data_preprocessing/**/data_loader and cannot be changed except CIFAR10 datasets.
Here I mean that it seems the total clients is decided by the datasets, rather the input from run_fedavg_distributed_pytorch.sh.
https://github.com/FedML-AI/FedML/blob/3d9fda8d149c95f25ec4898e31df76f035a33b5d/fed
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the query!()
macro accepts the QueryFilter
which is a union of each of the field in the QueryFilter struct.
Right now, you can only specify one variant of the HeaderType
enum in the header_type() method for QueryFilter
.
This may not be necessary (because we can filter HeaderType in zome_fn level against what is returned from query macro), but may be nice to have if the header_type
fiel
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Add
--add-exports jdk.management/com.ibm.lang.management.internal
only when OpenJ9 detected.Otherwise we got
WARNING: package com.ibm.lang.management.internal not in jdk.management
in logs