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Expose GPU IDs to remote functions. (#496)

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* Change local scheduler bookkeeping to use GPU IDs.

* Update actor test.

* Add tests for actors and tasks simultaneously using GPUs.

* Add additional task GPU ID test.

* Fix linting.

* Make redis GPU assignment ignore GPU IDs.

* Small fix.
This commit is contained in:
Robert Nishihara
2017-05-07 13:03:49 -07:00
committed by Philipp Moritz
parent 35dbdcc4f5
commit c688a64235
16 changed files with 461 additions and 131 deletions
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python/ray/monitor.py
+3 -3
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@@ -243,7 +243,7 @@ class Monitor(object):
if int(local_scheduler["NumGPUs"]) > 0:
local_scheduler_id = local_scheduler["DBClientID"]
returned_gpu_ids = []
num_gpus_returned = 0
# Perform a transaction to return the GPUs.
with self.redis.pipeline() as pipe:
@@ -258,7 +258,7 @@ class Monitor(object):
driver_id_hex = ray.utils.binary_to_hex(driver_id)
if driver_id_hex in gpus_in_use:
returned_gpu_ids = gpus_in_use.pop(driver_id_hex)
num_gpus_returned = gpus_in_use.pop(driver_id_hex)
pipe.multi()
@@ -276,7 +276,7 @@ class Monitor(object):
continue
log.info("Driver {} is returning GPU IDs {} to local scheduler {}."
.format(driver_id, returned_gpu_ids, local_scheduler_id))
.format(driver_id, num_gpus_returned, local_scheduler_id))
def process_messages(self):
"""Process all messages ready in the subscription channels.