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230 lines
10 KiB
Python
230 lines
10 KiB
Python
# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT License.
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import argparse
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import os
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import json
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from queue import Queue
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def parse_npkit_event_header(npkit_event_header_path):
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npkit_event_def = {'id_to_type': {}, 'type_to_id': {}}
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with open(npkit_event_header_path, 'r') as f:
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lines = [x.strip() for x in f.readlines() if len(x.strip()) != 0]
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line_idx = 0
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while line_idx < len(lines):
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if lines[line_idx].startswith('#define NPKIT_EVENT_'):
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fields = lines[line_idx].split()
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if len(fields) == 3:
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event_type = fields[1]
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event_id = int(fields[2], 0)
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npkit_event_def['type_to_id'][event_type] = event_id
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npkit_event_def['id_to_type'][event_id] = event_type
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line_idx += 1
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return npkit_event_def
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def trim_event_name(event_type):
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list_event_type_name = event_type.split("_")
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if "NPKIT" in list_event_type_name:
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list_event_type_name.remove("NPKIT")
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if "EVENT" in list_event_type_name:
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list_event_type_name.remove("EVENT")
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if "ENTRY" in list_event_type_name:
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list_event_type_name.remove("ENTRY")
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return "_".join(list_event_type_name)
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def parse_gpu_clock_scale(gpu_clock_file_path):
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with open(gpu_clock_file_path, 'r') as f:
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freq_in_khz = f.read()
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return float(freq_in_khz) * 1e3 / 1e6
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def parse_cpu_clock_scale(cpu_clock_den_file_path, cpu_clock_num_file_path):
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with open(cpu_clock_num_file_path, 'r') as f:
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num = float(f.read())
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with open(cpu_clock_den_file_path, 'r') as f:
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den = float(f.read())
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return den / num / 1e6
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def parse_gpu_event(event_bytes):
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return {
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'id': int.from_bytes(event_bytes[0:1], byteorder='little', signed=False),
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'size': int.from_bytes(event_bytes[1:5], byteorder='little', signed=False),
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'rsvd': int.from_bytes(event_bytes[5:8], byteorder='little', signed=False),
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'timestamp': int.from_bytes(event_bytes[8:16], byteorder='little', signed=False)
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}
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def parse_cpu_event(event_bytes):
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return {
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'id': int.from_bytes(event_bytes[0:1], byteorder='little', signed=False),
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'size': int.from_bytes(event_bytes[1:5], byteorder='little', signed=False),
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'slot': int.from_bytes(event_bytes[5:8], byteorder='little', signed=False),
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'timestamp': int.from_bytes(event_bytes[8:16], byteorder='little', signed=False)
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}
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def parse_gpu_event_file(npkit_dump_dir, npkit_event_def, rank, buf_idx, gpu_clock_scale, cpu_clock_scale):
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gpu_event_file_path = os.path.join(npkit_dump_dir, 'gpu_events_rank_%d_buf_%d' % (rank, buf_idx))
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raw_event_size = 16
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curr_cpu_base_time = None
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curr_gpu_base_time = None
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gpu_events = []
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event_type_to_seq = {}
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with open(gpu_event_file_path, 'rb') as f:
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raw_content = f.read()
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raw_content_size = len(raw_content)
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raw_content_idx = 0
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while raw_content_idx < raw_content_size:
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parsed_gpu_event = parse_gpu_event(raw_content[raw_content_idx : raw_content_idx + raw_event_size])
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if npkit_event_def['id_to_type'][parsed_gpu_event['id']] == 'NPKIT_EVENT_TIME_SYNC_CPU':
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curr_cpu_base_time = parsed_gpu_event['timestamp'] / cpu_clock_scale
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curr_gpu_base_time = None
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elif npkit_event_def['id_to_type'][parsed_gpu_event['id']] == 'NPKIT_EVENT_TIME_SYNC_GPU':
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if curr_gpu_base_time is None:
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curr_gpu_base_time = parsed_gpu_event['timestamp'] / gpu_clock_scale
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else:
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if curr_gpu_base_time is None:
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curr_gpu_base_time = parsed_gpu_event['timestamp'] / gpu_clock_scale
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event_type = npkit_event_def['id_to_type'][parsed_gpu_event['id']]
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phase = 'B' if event_type.endswith('_ENTRY') else 'E'
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gpu_events.append({
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'ph': phase,
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'ts': curr_cpu_base_time + parsed_gpu_event['timestamp'] / gpu_clock_scale - curr_gpu_base_time,
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'pid': rank,
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'tid': buf_idx + 1
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})
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if phase == 'B':
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if event_type not in event_type_to_seq:
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event_type_to_seq[event_type] = 0
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gpu_events[-1].update({
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'name': trim_event_name(event_type),
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'cat': 'GPU',
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'args': {
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'rank': rank,
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'buf_idx': buf_idx,
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'seq': event_type_to_seq[event_type],
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'rsvd_0': parsed_gpu_event['rsvd'],
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'size_0': parsed_gpu_event['size']
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}
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})
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event_type_to_seq[event_type] += 1
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else:
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gpu_events[-1]['args'] = {'size': parsed_gpu_event['size'], 'rsvd': parsed_gpu_event['rsvd']}
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delta_time = gpu_events[-1]['ts'] - gpu_events[-2]['ts']
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gpu_events[-1]['args']['bw (GB/s)'] = gpu_events[-1]['args']['size'] / delta_time / 1e3
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raw_content_idx += raw_event_size
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return gpu_events
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def parse_cpu_event_file(npkit_dump_dir, npkit_event_def, rank, channel, cpu_clock_scale):
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cpu_event_file_path = os.path.join(npkit_dump_dir, 'cpu_events_rank_%d_channel_%d' % (rank, channel))
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raw_event_size = 16
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cpu_events = []
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event_type_to_seq = {}
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fiber_is_usable = []
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fiber_open_info = []
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slot_to_fiber_id = {}
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channel_shift = 1000
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with open(cpu_event_file_path, 'rb') as f:
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raw_content = f.read()
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raw_content_size = len(raw_content)
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raw_content_idx = 0
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while raw_content_idx < raw_content_size:
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parsed_cpu_event = parse_cpu_event(raw_content[raw_content_idx : raw_content_idx + raw_event_size])
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event_type = npkit_event_def['id_to_type'][parsed_cpu_event['id']]
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phase = 'B' if event_type.endswith('_ENTRY') else 'E'
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cpu_events.append({
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'ph': phase,
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'ts': parsed_cpu_event['timestamp'] / cpu_clock_scale,
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'pid': rank
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})
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slot = parsed_cpu_event['slot']
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if phase == 'B':
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# Open fiber event
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fiber_id = 0
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while fiber_id < len(fiber_is_usable):
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if fiber_is_usable[fiber_id]:
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break
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fiber_id += 1
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if fiber_id == len(fiber_is_usable):
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fiber_is_usable.append(True)
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fiber_open_info.append({'ts': 0.0, 'size': 0})
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slot_to_fiber_id[slot] = fiber_id
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fiber_open_info[fiber_id]['ts'] = cpu_events[-1]['ts']
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fiber_open_info[fiber_id]['size'] = parsed_cpu_event['size']
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fiber_is_usable[fiber_id] = False
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if event_type not in event_type_to_seq:
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event_type_to_seq[event_type] = 0
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cpu_events[-1].update({
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'name': trim_event_name(event_type),
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'cat': 'CPU',
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'args': {
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'rank': rank,
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'channel': channel,
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'slot': parsed_cpu_event['slot'],
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'seq': event_type_to_seq[event_type],
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'size_0': parsed_cpu_event['size']
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}
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})
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event_type_to_seq[event_type] += 1
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else:
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# Close fiber event
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fiber_id = slot_to_fiber_id[slot]
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slot_to_fiber_id.pop(slot)
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last_ts = fiber_open_info[fiber_id]['ts']
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last_size = fiber_open_info[fiber_id]['size']
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fiber_is_usable[fiber_id] = True
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delta_time = max(0.001, cpu_events[-1]['ts'] - last_ts)
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cpu_events[-1]['args'] = {'size_1': parsed_cpu_event['size'], 'size': max(last_size, parsed_cpu_event['size'])}
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cpu_events[-1]['args']['bw (GB/s)'] = \
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cpu_events[-1]['args']['size'] / delta_time / 1e3
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cpu_events[-1]['tid'] = fiber_id + (channel + 1) * channel_shift
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raw_content_idx += raw_event_size
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return cpu_events
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def convert_npkit_dump_to_trace(npkit_dump_dir, output_dir, npkit_event_def):
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files_in_dump_dir = next(os.walk(npkit_dump_dir))[2]
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gpu_event_files = [x for x in files_in_dump_dir if x.startswith('gpu_events_rank_')]
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cpu_event_files = [x for x in files_in_dump_dir if x.startswith('cpu_events_rank_')]
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ranks = list(set([int(x.split('_rank_')[1].split('_')[0]) for x in gpu_event_files]))
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buf_indices = list(set([int(x.split('_buf_')[1].split('_')[0]) for x in gpu_event_files]))
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channels = list(set([int(x.split('_channel_')[1].split('_')[0]) for x in cpu_event_files]))
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trace = {'traceEvents': []}
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for rank in ranks:
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cpu_clock_den_file_path = os.path.join(npkit_dump_dir, 'cpu_clock_period_den_rank_%d' % rank)
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cpu_clock_num_file_path = os.path.join(npkit_dump_dir, 'cpu_clock_period_num_rank_%d' % rank)
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cpu_clock_scale = parse_cpu_clock_scale(cpu_clock_den_file_path, cpu_clock_num_file_path)
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gpu_clock_file_path = os.path.join(npkit_dump_dir, 'gpu_clock_rate_rank_%d' % rank)
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gpu_clock_scale = parse_gpu_clock_scale(gpu_clock_file_path)
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for buf_idx in buf_indices:
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gpu_events = parse_gpu_event_file(npkit_dump_dir, npkit_event_def, rank, buf_idx, gpu_clock_scale, cpu_clock_scale)
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trace['traceEvents'].extend(gpu_events)
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for channel in channels:
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cpu_events = parse_cpu_event_file(npkit_dump_dir, npkit_event_def, rank, channel, cpu_clock_scale)
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trace['traceEvents'].extend(cpu_events)
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trace['traceEvents'].sort(key=lambda x : x['ts'])
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trace['displayTimeUnit'] = 'ns'
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os.makedirs(output_dir, exist_ok=True)
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with open(os.path.join(output_dir, 'npkit_event_trace.json'), 'w') as f:
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json.dump(trace, f)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--npkit_dump_dir', type=str, required=True, help='NPKit dump directory.')
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parser.add_argument('--npkit_event_header_path', type=str, required=True, help='Path to npkit_event.h.')
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parser.add_argument('--output_dir', type=str, required=True, help='Path to output directory.')
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args = parser.parse_args()
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npkit_event_def = parse_npkit_event_header(args.npkit_event_header_path)
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convert_npkit_dump_to_trace(args.npkit_dump_dir, args.output_dir, npkit_event_def) |