sunnypilot v2026.002.000

version: sunnypilot v2026.002.000 (staging)
date: 2026-07-21T07:44:02
master commit: 2c334ede443d7391d27575af8c854a095ba702a8

tinygrad_repo/extra/hcqfuzz/tests/bert.py

@@ -0,0 +1,81 @@
+from extra.hcqfuzz.spec import TestSpec
+import random
+
+bert_train_params = {
+  "DEFAULT_FLOAT": "HALF",
+  "SUM_DTYPE": "HALF",
+  "GPUS": 6,
+  "BS": 96,
+  "EVAL_BS": 96,
+  "BASEDIR": "/raid/datasets/wiki",
+}
+
+class TrainBert(TestSpec):
+  def prepare(self, dev, seed):
+    random.seed(seed)
+
+    self.env = {
+      **bert_train_params,
+      "IGNORE_BEAM_CACHE": 1,
+      "BEAM": 5,
+      "BEAM_UOPS_MAX": 10000,
+      "BEAM_UPCAST_MAX": 256,
+      "BEAM_LOCAL_MAX": 1024,
+      "BEAM_MIN_PROGRESS": 5,
+      "IGNORE_JIT_FIRST_BEAM": 1,
+      "LOGMLPERF": 0,
+      "SEED": seed,
+    }
+
+    self.cmd = "python3 examples/mlperf/model_train.py"
+    self.timeout = 7 * 60 * 60 # 7 hours
+
+  def get_exec_state(self): return self.env, self.cmd, self.timeout
+
+class TrainBertShort(TestSpec):
+  def prepare(self, dev, seed):
+    random.seed(seed)
+
+    self.env = {
+      **bert_train_params,
+      "IGNORE_BEAM_CACHE": 1,
+      "BEAM": 5,
+      "BEAM_UOPS_MAX": 10000,
+      "BEAM_UPCAST_MAX": 256,
+      "BEAM_LOCAL_MAX": 1024,
+      "BEAM_MIN_PROGRESS": 5,
+      "IGNORE_JIT_FIRST_BEAM": 1,
+      "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 BertBeam(TestSpec):
+  def prepare(self, dev, seed):
+    random.seed(seed)
+
+    self.env = {
+      **bert_train_params,
+      "IGNORE_BEAM_CACHE": 1,
+      "BEAM": random.choice([1, 2, 3, 4, 5]),
+      "BEAM_UOPS_MAX": 10000,
+      "BEAM_UPCAST_MAX": 256,
+      "BEAM_LOCAL_MAX": 1024,
+      "BEAM_MIN_PROGRESS": 5,
+      "IGNORE_JIT_FIRST_BEAM": 1,
+      "SEED": seed,
+      "RESET_STEP": 1,
+      "BENCHMARK": 10,
+      "BERT_LAYERS": 2,
+      "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