ColossalAI/examples/language/gpt/gemini/commons/utils.py

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import time
from contextlib import nullcontext
import torch
from torch.profiler import ProfilerActivity, profile, schedule, tensorboard_trace_handler
class DummyProfiler:
def __init__(self):
self.step_number = 0
def step(self):
self.step_number += 1
# Randomly Generated Data
def get_data(batch_size, seq_len, vocab_size):
input_ids = torch.randint(0, vocab_size, (batch_size, seq_len), device=torch.cuda.current_device())
attention_mask = torch.ones_like(input_ids)
return input_ids, attention_mask
def get_tflops(model_numel, batch_size, seq_len, step_time):
return model_numel * batch_size * seq_len * 8 / 1e12 / (step_time + 1e-12)
def get_profile_context(enable_flag, warmup_steps, active_steps, save_dir):
if enable_flag:
return profile(
activities=[ProfilerActivity.CPU, ProfilerActivity.CUDA],
schedule=schedule(wait=0, warmup=warmup_steps, active=active_steps),
on_trace_ready=tensorboard_trace_handler(save_dir),
record_shapes=True,
profile_memory=True,
)
else:
return nullcontext(DummyProfiler())
def get_time_stamp():
cur_time = time.strftime("%d-%H:%M", time.localtime())
return cur_time