anandj91 commented on a change in pull request #15124: [MXNET-1294]
Priority-based parameter propagation for improved data parallel training
throughput
URL: https://github.com/apache/incubator-mxnet/pull/15124#discussion_r370455882
##########
File path: python/mxnet/kvstore/kvstore.py
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@@ -104,8 +104,22 @@ def broadcast(self, key, value, out, priority=0):
[ 2. 2. 2.]]
"""
- self.init(key, value)
- self.pull(key, out=out, priority=priority)
+ cvkeys, cvals, use_str_keys = _ctype_key_value(key, value)
+ if out is not None:
+ cokeys, couts, _ = _ctype_key_value(key, out)
+ else:
+ cokeys = cvkeys
+ couts = cvals
+
+ if use_str_keys:
+ check_call(_LIB.MXKVStoreBroadcastEx(
+ self.handle, mx_uint(len(cvkeys)), cvkeys,
mx_uint(len(cokeys)), cokeys,
+ cvals, couts, ctypes.c_int(priority)))
+ else:
+ check_call(_LIB.MXKVStoreBroadcast(
+ self.handle, mx_uint(len(cvkeys)), cvkeys,
mx_uint(len(cokeys)), cokeys,
+ cvals, couts, ctypes.c_int(priority)))
+
Review comment:
I'll write the test cases, once we finalize the design. otherwise I probably
have to rewrite the tests multiple times. I hope that is okay.
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