carrot efee1712aa
KerryGoldModel, AGNOS12.3, ButtonMode3, autoDetectLFA2, (#181)
* fix.. speed_limit error...

* draw tpms settings.

* fix.. traffic light stopping only..

* fix.. waze cam

* fix.. waze...

* add setting (Enable comma connect )

* auto detect LFA2

* fix.. cruisespeed1

* vff2 driving model.

* fix..

* agnos 12.3

* fix..

* ff

* ff

* test

* ff

* fix.. drawTurnInfo..

* Update drive_helpers.py

* fix..

support eng  voice

eng sounds

fix settings... english

fix.. mph..

fix.. roadlimit speed bug..

* new vff model.. 250608

* fix soundd..

* fix safe exit speed..

* fix.. sounds.

* fix.. radar timeStep..

* KerryGold model

* Update drive_helpers.py

* fix.. model.

* fix..

* fix..

* Revert "fix.."

This reverts commit b09ec459afb855c533d47fd7e8a1a6b1a09466e7.

* Revert "fix.."

This reverts commit 290bec6b83a4554ca232d531a911edccf94a2156.

* fix esim

* add more acc table. 10kph

* kg update..

* fix cruisebutton mode3

* test atc..cond.

* fix.. canfd

* fix.. angle control limit
2025-06-13 15:59:36 +09:00

67 lines
1.5 KiB
Python

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