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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.
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
import os, random
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class TestSpec:
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def prepare(self, device, seed):
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raise NotImplementedError("prepare must be implemented in the derived class")
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def get_exec_state(self):
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raise NotImplementedError("get_exec_state must be implemented in the derived class")
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def name(self): return self.__class__.__name__
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class DeviceSpec:
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def prepare(self, seed):
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raise NotImplementedError("prepare must be implemented in the derived class")
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def get_exec_state(self):
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raise NotImplementedError("get_exec_state must be implemented in the derived class")
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def name(self): return self.__class__.__name__
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class HCQSpec(DeviceSpec): pass
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class AMDSpec(HCQSpec):
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def __init__(self):
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assert os.path.exists('/sys/module/amdgpu'), "amdgpu module should be loaded"
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def prepare(self, seed):
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self.env = {
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"AMD": 1,
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"AMD_LLVM": 0
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}
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def get_exec_state(self): return self.env
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class AMSpec(AMDSpec):
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def __init__(self):
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assert not os.path.exists('/sys/module/amdgpu'), "amdgpu module should not be loaded"
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def prepare(self, seed):
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super().prepare(seed)
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self.env = {
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**self.env, # from AMDSpec
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"AMD_SDMA_BIND": random.randint(0, 1),
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"AMD_ALLOC_QUEUE_DEV_MEM": 0, # random.randint(0, 1) need to validate
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"AMD_QUEUE_SIZE": 1 << random.randint(10, 26),
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}
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