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https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
import os
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os.environ["NVIDIA_TF32_OVERRIDE"] = "0"
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os.environ["MKL_NUM_THREADS"] = "1"
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os.environ["NUMEXPR_NUM_THREADS"] = "1"
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os.environ["OMP_NUM_THREADS"] = "1"
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import time
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import torch
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torch.set_num_threads(1)
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from tinygrad.helpers import getenv
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CUDA = getenv("CUDA", 1)
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MPS = getenv("MPS", 0)
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if getenv("FP16_ACC"): torch.backends.cuda.matmul.allow_fp16_accumulation = True
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for dtype in [torch.float32, torch.float16, torch.bfloat16]:
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for N in [256, 512, 1024, 2048, 4096] + ([6144, 8192] if getenv("BIG") else []):
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FLOPS = N*N*N*2
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b = torch.rand((N,N), dtype=dtype)
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c = torch.rand((N,N), dtype=dtype)
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if CUDA: b,c = b.cuda(),c.cuda()
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if MPS: b,c = b.to('mps'),c.to('mps')
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def torch_prog(b, c):
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st = time.perf_counter()
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a = b@c
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if CUDA: torch.cuda.synchronize()
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if MPS: torch.mps.synchronize()
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return time.perf_counter() - st
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tm = min([torch_prog(b, c) for _ in range(20)])
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print(f"{N*N:10d} {tm*1e6:9.2f} us, would be {FLOPS*1e-9/tm:9.2f} GFLOPS {N:4d}x{N:4d}x{N:4d} matmul in {dtype}")
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