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FEAT-#4574: Warn users when pre-initialized Ray cluster is not using all available memory #4575
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@@ -219,6 +219,17 @@ def initialize_ray( | |||
if not GPU_MANAGERS: | |||
for i in range(GpuCount.get()): | |||
GPU_MANAGERS.append(GPUManager.remote(i)) | |||
else: | |||
ray_obj_store_mem = ray.available_resources()["object_store_memory"] | |||
virtual_memory = psutil.virtual_memory().total |
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Actually, in this context you might want to use available since there could be other processes running that are consuming memory?
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Free vs. available memory in Linux: https://haydenjames.io/free-vs-available-memory-in-linux/
Codecov Report
@@ Coverage Diff @@
## master #4575 +/- ##
==========================================
+ Coverage 86.22% 89.40% +3.18%
==========================================
Files 228 229 +1
Lines 18451 18727 +276
==========================================
+ Hits 15909 16743 +834
+ Misses 2542 1984 -558
📣 Codecov can now indicate which changes are the most critical in Pull Requests. Learn more |
… using all available memory Signed-off-by: Rehan Durrani <[email protected]>
Signed-off-by: Rehan Durrani <[email protected]>
Signed-off-by: Rehan Durrani <[email protected]>
@RehanSD what's the status of this PR? |
@vnlitvinov it's ready for review! |
Signed-off-by: Rehan Durrani [email protected]
What do these changes do?
flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
black --check modin/ asv_bench/benchmarks scripts/doc_checker.py
git commit -s
docs/development/architecture.rst
is up-to-date