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Toggle memory profiling start/stop explicitly #213

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merged 1 commit into from
Feb 15, 2024
Merged

Toggle memory profiling start/stop explicitly #213

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20 changes: 16 additions & 4 deletions serve/mlc_serve/model/tvm_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -196,10 +196,6 @@ def get_used_memory(self):
peak_memory = get_used_memory_func(
tvm.device("cuda", 0)
).debug_get_from_remote(0)

# TODO: temp hack to switch the VM allocator to eager recycling mode on all devices
for i in range(1, self.num_shards):
get_used_memory_func(tvm.device("cuda", i)).debug_get_from_remote(i)
else:
params = self.params

Expand Down Expand Up @@ -230,7 +226,23 @@ def profile_memory_usage(self, seq_lens):
positions = copy_to_worker_0(self.disco_session, positions)
seq_lens = copy_to_worker_0(self.disco_session, seq_lens)

start_profiling_func = self.disco_session.get_global_func(
"vm.memory_manager.start_profiling"
)
stop_profiling_func = self.disco_session.get_global_func(
"vm.memory_manager.stop_profiling"
)
else:
start_profiling_func = tvm.get_global_func(
"vm.memory_manager.start_profiling"
)
stop_profiling_func = tvm.get_global_func(
"vm.memory_manager.stop_profiling"
)

start_profiling_func()
self.mod["evaluate"](input_ids, positions, seq_lens, self.params)
stop_profiling_func()

return self.get_used_memory()

Expand Down
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