eric-haibin-lin 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_r291449719
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File path: src/kvstore/kvstore_dist.h
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@@ -412,17 +439,38 @@ class KVStoreDist : public KVStoreLocal {
void PushDefault(int key, const NDArray &send_buf, const PSKV& pskv, int
priority) {
auto push_to_servers =
- [this, key, pskv, send_buf](RunContext rctx,
Engine::CallbackOnComplete cb) {
+ [this, key, pskv, send_buf, priority](RunContext rctx,
Engine::CallbackOnComplete cb) {
const int dtype = send_buf.dtype();
// convert to ps keys
const size_t size = send_buf.shape().Size() *
mshadow::mshadow_sizeof(dtype);
char* data = static_cast<char *>(send_buf.data().dptr_);
// do push. false means no delete
ps::SArray<char> vals(data, size, false);
int cmd = GetCommandType(RequestType::kDefaultPushPull, dtype);
- CHECK_NOTNULL(ps_worker_)->ZPush(
- pskv.keys, vals, pskv.lens,
- cmd, [cb]() { cb(); });
+
+ auto *counter = new std::atomic<int>(pskv.keys.size());
Review comment:
Shall we use a smart pointer?
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