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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.
67 lines
1.5 KiB
Python
67 lines
1.5 KiB
Python
from extra.hcqfuzz.spec import TestSpec
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import random
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resnet_train_params = {
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"DEFAULT_FLOAT": "HALF",
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"SUM_DTYPE": "HALF",
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"GPUS": 6,
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"BS": 1536,
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"EVAL_BS": 192,
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"TRAIN_BEAM": 4,
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"IGNORE_JIT_FIRST_BEAM": 1,
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"BEAM_UOPS_MAX": 2000,
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"BEAM_UPCAST_MAX": 96,
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"BEAM_LOCAL_MAX": 1024,
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"BEAM_MIN_PROGRESS": 5,
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"BEAM_PADTO": 0,
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"EVAL_START_EPOCH": 3,
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"EVAL_FREQ": 4
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}
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class TrainResnet(TestSpec):
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def prepare(self, dev, seed):
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random.seed(seed)
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self.env = {
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**resnet_train_params,
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"IGNORE_BEAM_CACHE": 1,
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"SEED": seed,
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}
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self.cmd = "python3 examples/mlperf/model_train.py"
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self.timeout = 4 * 60 * 60 # 7 hours
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def get_exec_state(self): return self.env, self.cmd, self.timeout
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class TrainResnetShort(TestSpec):
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def prepare(self, dev, seed):
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random.seed(seed)
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self.env = {
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**resnet_train_params,
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"SEED": seed,
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"BENCHMARK": 4096,
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"JIT": 2,
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}
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self.cmd = "python3 examples/mlperf/model_train.py"
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self.timeout = 2 * 60 * 60 # 2 hours
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def get_exec_state(self): return self.env, self.cmd, self.timeout
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class ResnetBeam(TestSpec):
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def prepare(self, dev, seed):
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random.seed(seed)
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self.env = {
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**resnet_train_params,
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"IGNORE_BEAM_CACHE": 1,
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"BENCHMARK": 10,
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"SEED": seed,
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}
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self.cmd = "python3 examples/mlperf/model_train.py"
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self.timeout = 1 * 60 * 60 # 1 hour
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def get_exec_state(self): return self.env, self.cmd, self.timeout
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