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192 lines (183 loc) · 7.18 KB
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import json
from glob import glob
from copy import deepcopy
import itertools
from typing import Callable
import sys
schema = {
"$schema": "http://json-schema.org/schema#",
"type": "object",
"properties": {
"schemaVersion": {"type": "integer"},
"deviceProperties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {"type": "integer"},
"name": {"type": "string"},
"totalGlobalMem": {"type": "integer"},
"computeMajor": {"type": "integer"},
"computeMinor": {"type": "integer"},
"maxThreadsPerBlock": {"type": "integer"},
"maxThreadsPerMultiprocessor": {"type": "integer"},
"regsPerBlock": {"type": "integer"},
"regsPerMultiprocessor": {"type": "integer"},
"warpSize": {"type": "integer"},
"sharedMemPerBlock": {"type": "integer"},
"sharedMemPerMultiprocessor": {"type": "integer"},
"numSms": {"type": "integer"},
"sharedMemPerBlockOptin": {"type": "integer"},
},
"required": [
"computeMajor",
"computeMinor",
"id",
"maxThreadsPerBlock",
"maxThreadsPerMultiprocessor",
"name",
"numSms",
"regsPerBlock",
"regsPerMultiprocessor",
"sharedMemPerBlock",
"sharedMemPerBlockOptin",
"sharedMemPerMultiprocessor",
"totalGlobalMem",
"warpSize",
],
},
},
"distributedInfo": {
"type": "object",
"properties": {
"backend": {"type": "string"},
"rank": {"type": "integer"},
"world_size": {"type": "integer"},
},
"required": ["backend", "rank", "world_size"],
},
"traceEvents": {
"type": "array",
"items": {
"type": "object",
"properties": {
"ph": {"type": "string"},
"cat": {"type": "string"},
"name": {"type": "string"},
"pid": {"type": ["integer", "string"]},
"tid": {"type": ["integer", "string"]},
"ts": {"type": "integer"},
"dur": {"type": "integer"},
"args": {
"type": "object",
"properties": {
"External id": {"type": "integer"},
"Ev Idx": {"type": "integer"},
"Fwd thread id": {"type": "integer"},
"Sequence number": {"type": "integer"},
"queued": {"type": "integer"},
"device": {"type": "integer"},
"context": {"type": "integer"},
"stream": {"type": "integer"},
"correlation": {"type": "integer"},
"registers per thread": {"type": "integer"},
"shared memory": {"type": "integer"},
"blocks per SM": {"type": "number"},
"warps per SM": {"type": "number"},
"grid": {"type": "array", "items": {"type": "integer"}},
"block": {"type": "array", "items": {"type": "integer"}},
"est. achieved occupancy %": {"type": "integer"},
"cbid": {"type": "integer"},
"bytes": {"type": "integer"},
"memory bandwidth (GB/s)": {"type": ["number", "string"]},
"name": {"type": "string"},
"labels": {"type": "string"},
"sort_index": {"type": "integer"},
"Op count": {"type": "integer"},
},
},
"id": {"type": "integer"},
"bp": {"type": "string"},
"s": {"type": "string"},
},
"required": ["name", "ph", "pid", "tid", "ts"],
},
},
"traceName": {"type": "string"},
},
"required": [
"deviceProperties",
"distributedInfo",
"schemaVersion",
"traceEvents",
"traceName",
],
}
# trace = json.load(open('/home/ubuntu/tsinghua/zly/mini_trace.json'))
# df = pd.DataFrame(data=trace['traceEvents'], columns=['ph', 'cat', 'name', 'pid', 'tid', 'ts', 'dur'])
# print(df)
def get_annotations(
events, prefix="SCH-", pid=None, rename: Callable[[str], str] = None
):
ret = []
for e in events:
if e.get("cat", None) == "user_annotation" and e["name"].startswith(prefix):
# SCH-RECV_FORWARD-0-True
v = deepcopy(e)
# v['cname']='black' # TODO
if rename is not None:
v["name"] = rename(v["name"])
ret.append(v)
if pid is not None:
v["pid"] = 0
v["tid"] = pid
# print(v)
return ret
def strip_name(s: str):
types = {
"RECV_FORWARD": "recv_F",
"RECV_BACKWARD": "recv_B",
"SEND_FORWARD": "send_F",
"SEND_BACKWARD": "send_B",
"F": "F",
"B": "B",
"W": "W",
}
op = s.split("-")[1]
return "-".join([types.get(op, op)] + s.split("-")[2:])
def main(path_prefix, rank_start, rank_end, rank_step):
merged_trace = None
for rank in range(rank_start, rank_end, rank_step):
fns = glob(path_prefix + f"/rank_{rank}/*.pt.trace.json")
assert len(fns) == 1
fn = fns[0]
trace = json.load(open(fn))
events = get_annotations(trace["traceEvents"], pid=rank, rename=strip_name)
if merged_trace is None:
merged_trace = trace
merged_trace["traceEvents"] = []
merged_trace["traceEvents"] += events
print(f'Imported {len(merged_trace["traceEvents"])} events from {fn}')
output_name = f"{path_prefix}/pipeviz_{rank_start}-{rank_end}-{rank_step}.json"
json.dump(merged_trace, open(output_name, "w"))
print(f"Generated merged trace {output_name}")
if __name__ == "__main__":
start, end, step = 0, 512, 64
if len(sys.argv) > 1:
path_prefix = sys.argv[1]
else:
print(
f"Usage: python {sys.argv[0]} <path_prefix> [rank_start={start}] [end={end}] [step={step}]"
)
print(
f"Example: python /home/huangkz/local_repos/Megatron-LM/logs/1105-2132"
)
exit()
if len(sys.argv) > 2:
start = int(sys.argv[2])
if len(sys.argv) > 3:
end = int(sys.argv[3])
if len(sys.argv) > 4:
step = int(sys.argv[4])
print(f"prefix={path_prefix} start={start}, end={end}, step={step}")
main(path_prefix, start, end, step)