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https://github.com/wassname/ray.git
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Philipp Moritz
12a68e84d2
* Implement actor field for tasks * Implement actor management in local scheduler. * initial python frontend for actors * import actors on worker * IPython code completion and tests * prepare creating actors through local schedulers * add actor id to PyTask * submit actor calls to local scheduler * starting to integrate * simple fix * Fixes from rebasing. * more work on python actors * Improve local scheduler actor handlers. * Pass actor ID to local scheduler when connecting a client. * first working version of actors * fixing actors * fix creating two copies of the same actor * fix actors * remove sleep * get rid of export synchronization * update * insert actor methods into the queue in the right order * remove print statements * make it compile again after rebase * Minor updates. * fix python actor ids * Pass actor_id to start_worker. * add test * Minor changes. * Update actor tests. * Temporary plan for import counter. * Temporarily fix import counters. * Fix some tests. * Fixes. * Make actor creation non-blocking. * Fix test? * Fix actors on Python 2. * fix rare case. * Fix python 2 test. * More tests. * Small fixes. * Linting. * Revert tensorflow version to 0.12.0 temporarily. * Small fix. * Enhance inheritance test.
17 lines
616 B
C
17 lines
616 B
C
#include "actor_notification_table.h"
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#include "redis.h"
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void actor_notification_table_subscribe(
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db_handle *db_handle,
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actor_notification_table_subscribe_callback subscribe_callback,
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void *subscribe_context,
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retry_info *retry) {
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actor_notification_table_subscribe_data *sub_data =
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malloc(sizeof(actor_notification_table_subscribe_data));
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sub_data->subscribe_callback = subscribe_callback;
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sub_data->subscribe_context = subscribe_context;
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init_table_callback(db_handle, NIL_ID, __func__, sub_data, retry, NULL,
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redis_actor_notification_table_subscribe, NULL);
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}
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