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multiply-debug.py
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multiply-debug.py
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import torch
from timeit import timeit
import argparse
def time_multiplication(
timer_repetitions,
use_gpu=True,
data_path="/mnt/qb/baumgartner/storagetest.txt",
random_seed=0
):
# Simulate external data access by reading the matrix size from external file
with open(data_path) as f:
s = int(f.read())
# Set random seed
torch.manual_seed(random_seed)
# Create tensors
x = torch.randn(32, s)
y = torch.randn(s, 32)
import ipdb
ipdb.set_trace()
# Check if Cuda available and move tensor to Cuda if yes
cuda_available = torch.cuda.is_available()
print(f"Cuda_available={cuda_available}")
if cuda_available and use_gpu:
device = torch.cuda.current_device()
print(f"Current Cuda device: {device}")
x = x.to(device)
y = y.to(device)
# Multiply matrix first once for result and then multiple times for measuring elapsed time
mult = torch.matmul(x, y)
elapsed_time = timeit(lambda: torch.matmul(x, y), number=timer_repetitions)
# Print some results:
print("result:")
print(mult)
print("Output shape", mult.shape)
print(f"elapsed time: {elapsed_time}")
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Tescript for Singularity and SLURM on GPU. It times the multiplication of two matrices, repeated `timer_repetition` times."
)
parser.add_argument(
"--timer_repetitions", dest="timer_repetitions", action="store", default=1000, type=int, help="How many times to repeat the multiplication.",
)
parser.add_argument('--use-gpu', dest='use_gpu', action='store_true')
parser.add_argument('--no-gpu', dest='use_gpu', action='store_false')
parser.set_defaults(use_gpu=True)
parser.add_argument(
"--random-seed", dest="random_seed", action="store", default=0, type=int, help="Random seed for sampling random matrices.",
)
args = parser.parse_args()
# Run main function with command line input, to test singularity arguments
time_multiplication(
timer_repetitions=args.timer_repetitions,
use_gpu=args.use_gpu,
random_seed=args.random_seed,
)
print("done.")