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[test] fixed gemini plugin test (#3411)

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* [test] fixed gemini plugin test

* polish code

* polish code
This commit is contained in:
Frank Lee
2023-04-03 17:12:22 +08:00
committed by GitHub
parent 30412866e0
commit 638a07a7f9
7 changed files with 124 additions and 131 deletions
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59
colossalai/auto_parallel/offload/runtime.py
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@@ -1,4 +1,5 @@
from typing import List
import torch
from torch.fx.node import Node
@@ -23,13 +24,13 @@ class SynPreFwdPostBwdOP(torch.autograd.Function):
ctx.bwd_info = bwd_info
d2h_rid = fwd_info.get('d2h_rid', None)
if d2h_rid is not None:
free_region = GlobalRuntimeInfo.region_list[d2h_rid]
free_region = GlobalRuntimeInfo().region_list[d2h_rid]
assert isinstance(free_region, Region)
free_region.free_cuda_data()
h2d_rid = fwd_info.get('h2d_rid', None)
if h2d_rid is not None:
h2d_region = GlobalRuntimeInfo.region_list[h2d_rid]
h2d_region = GlobalRuntimeInfo().region_list[h2d_rid]
assert isinstance(h2d_region, Region)
h2d_region.move_param_to_cuda()
@@ -40,7 +41,7 @@ class SynPreFwdPostBwdOP(torch.autograd.Function):
h2d_rid = ctx.bwd_info.get('h2d_rid', None)
if h2d_rid is not None:
pref_region = GlobalRuntimeInfo.region_list[h2d_rid]
pref_region = GlobalRuntimeInfo().region_list[h2d_rid]
assert isinstance(pref_region, Region)
pref_region.move_param_to_cuda()
@@ -65,23 +66,22 @@ class AsynPreFwdPostBwdOP(torch.autograd.Function):
sync_rid = fwd_info.get('sync_rid', None)
if sync_rid is not None:
prefetch_event = GlobalRuntimeInfo.fwd_prefetch_event_map.get(
sync_rid, None)
prefetch_event = GlobalRuntimeInfo().fwd_prefetch_event_map.get(sync_rid, None)
if prefetch_event:
prefetch_event.wait()
h2d_rid = fwd_info.get('h2d_rid', None)
if h2d_rid is not None:
pref_region = GlobalRuntimeInfo.region_list[h2d_rid]
pref_region = GlobalRuntimeInfo().region_list[h2d_rid]
assert isinstance(pref_region, Region)
master_stream = torch.cuda.current_stream()
with torch.cuda.stream(GlobalRuntimeInfo.h2d_stream):
GlobalRuntimeInfo.h2d_stream.wait_stream(master_stream)
with torch.cuda.stream(GlobalRuntimeInfo().h2d_stream):
GlobalRuntimeInfo().h2d_stream.wait_stream(master_stream)
pref_region.move_param_to_cuda()
prefetch_event = torch.cuda.Event()
prefetch_event.record(GlobalRuntimeInfo.h2d_stream)
GlobalRuntimeInfo.fwd_prefetch_event_map[h2d_rid] = prefetch_event
prefetch_event.record(GlobalRuntimeInfo().h2d_stream)
GlobalRuntimeInfo().fwd_prefetch_event_map[h2d_rid] = prefetch_event
return input_
@@ -90,10 +90,9 @@ class AsynPreFwdPostBwdOP(torch.autograd.Function):
sync_rid = ctx.bwd_info.get('sync_rid', None)
if sync_rid is not None:
wait_region = GlobalRuntimeInfo.region_list[sync_rid]
wait_region = GlobalRuntimeInfo().region_list[sync_rid]
assert isinstance(wait_region, Region)
prefetch_event = GlobalRuntimeInfo.bwd_prefetch_event_map.get(
sync_rid, None)
prefetch_event = GlobalRuntimeInfo().bwd_prefetch_event_map.get(sync_rid, None)
if prefetch_event:
prefetch_event.wait()
else:
@@ -101,16 +100,16 @@ class AsynPreFwdPostBwdOP(torch.autograd.Function):
h2d_rid = ctx.bwd_info.get('h2d_rid', None)
if h2d_rid is not None:
pref_region = GlobalRuntimeInfo.region_list[h2d_rid]
pref_region = GlobalRuntimeInfo().region_list[h2d_rid]
assert isinstance(pref_region, Region)
master_stream = torch.cuda.current_stream()
with torch.cuda.stream(GlobalRuntimeInfo.h2d_stream):
GlobalRuntimeInfo.h2d_stream.wait_stream(master_stream)
with torch.cuda.stream(GlobalRuntimeInfo().h2d_stream):
GlobalRuntimeInfo().h2d_stream.wait_stream(master_stream)
pref_region.move_param_to_cuda()
prefetch_event = torch.cuda.Event()
prefetch_event.record(GlobalRuntimeInfo.h2d_stream)
GlobalRuntimeInfo.bwd_prefetch_event_map[h2d_rid] = prefetch_event
prefetch_event.record(GlobalRuntimeInfo().h2d_stream)
GlobalRuntimeInfo().bwd_prefetch_event_map[h2d_rid] = prefetch_event
return grad_output, None, None
@@ -129,6 +128,7 @@ def convert_fwd_upload_bwd_offload_to_action(tensor, fwd_info, bwd_info):
ret = SynPreFwdPostBwdOP.apply(tensor, fwd_info, bwd_info)
return ret
def convert_fwd_prefetch_bwd_offload_to_action(tensor, fwd_info, bwd_info):
'''
Convert Prefetch and Offload operation into runtime action.
@@ -189,7 +189,8 @@ def runtime_syn_offload_apply_pass(gm: torch.fx.GraphModule, region_list: List[R
if fwd_info or bwd_info:
with mod_graph.inserting_after(last_inp_node):
new_node = mod_graph.create_node('call_function', convert_fwd_upload_bwd_offload_to_action,
new_node = mod_graph.create_node('call_function',
convert_fwd_upload_bwd_offload_to_action,
args=(last_inp_node, fwd_info, bwd_info))
replace_node_users(last_inp_node, new_node)
@@ -206,11 +207,11 @@ def runtime_asyn_offload_apply_pass(gm: torch.fx.GraphModule, region_list: List[
# upload parameters of the first region
last_inp_node = tuple(mod_graph.nodes)[0]
first_region_with_p = [
region for region in region_list if region.param_size][0]
first_region_with_p = [region for region in region_list if region.param_size][0]
fwd_info = {"h2d_rid": first_region_with_p.r_id}
with mod_graph.inserting_after(last_inp_node):
upload_apply_node = mod_graph.create_node('call_function', convert_fwd_upload_bwd_offload_to_action,
upload_apply_node = mod_graph.create_node('call_function',
convert_fwd_upload_bwd_offload_to_action,
args=(last_inp_node, fwd_info, {}))
replace_node_users(last_inp_node, upload_apply_node)
last_inp_node = upload_apply_node
@@ -225,19 +226,20 @@ def runtime_asyn_offload_apply_pass(gm: torch.fx.GraphModule, region_list: List[
fwd_info['h2d_rid'] = fwd_prefetch_region.r_id
# forward offload
if r_idx > 0 and region_list[r_idx-1].need_offload:
if r_idx > 0 and region_list[r_idx - 1].need_offload:
fwd_info['d2h_rid'] = r_idx - 1
bwd_info = {}
# backward prefetch
if r_idx > 0 and region_list[r_idx-1].need_offload:
if r_idx > 0 and region_list[r_idx - 1].need_offload:
bwd_info['sync_rid'] = r_idx - 1
if r_idx > 0 and region_list[r_idx-1].bwd_prefetch_region:
bwd_info['h2d_rid'] = region_list[r_idx-1].bwd_prefetch_region.r_id
if r_idx > 0 and region_list[r_idx - 1].bwd_prefetch_region:
bwd_info['h2d_rid'] = region_list[r_idx - 1].bwd_prefetch_region.r_id
if fwd_info or bwd_info:
with mod_graph.inserting_after(last_inp_node):
new_node = mod_graph.create_node('call_function', convert_fwd_prefetch_bwd_offload_to_action,
new_node = mod_graph.create_node('call_function',
convert_fwd_prefetch_bwd_offload_to_action,
args=(last_inp_node, fwd_info, bwd_info))
replace_node_users(last_inp_node, new_node)
@@ -246,7 +248,8 @@ def runtime_asyn_offload_apply_pass(gm: torch.fx.GraphModule, region_list: List[
if region.bwd_prefetch_region:
bwd_info = {'h2d_rid': region.bwd_prefetch_region.r_id}
with mod_graph.inserting_after(last_inp_node):
new_node = mod_graph.create_node('call_function', convert_fwd_prefetch_bwd_offload_to_action,
new_node = mod_graph.create_node('call_function',
convert_fwd_prefetch_bwd_offload_to_action,
args=(last_inp_node, {}, bwd_info))
replace_node_users(last_inp_node, new_node)
# gm.graph.print_tabular()