mirror of https://github.com/commaai/tinygrad.git
parent
0c24fec9f4
commit
f59517754e
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@ -802,7 +802,7 @@ def train_bert():
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if i % eval_step_freq == 0 or (BENCHMARK and i == BENCHMARK):
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if i % eval_step_freq == 0 or (BENCHMARK and i == BENCHMARK):
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if MLLOGGER and RUNMLPERF:
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if MLLOGGER and RUNMLPERF:
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MLLOGGER.start(key=mllog_constants.EVAL_START, value=None, metadata={"epoch_num": 1, "epoch_count": 1, "step_num": i})
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MLLOGGER.start(key=mllog_constants.EVAL_START, value=None, metadata={"epoch_num": 1, "epoch_count": 1, "step_num": i})
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train_step_bert.reset()
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if getenv("RESET_STEP", 1): train_step_bert.reset()
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eval_lm_losses = []
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eval_lm_losses = []
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eval_clsf_losses = []
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eval_clsf_losses = []
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eval_lm_accs = []
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eval_lm_accs = []
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@ -840,7 +840,7 @@ def train_bert():
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MLLOGGER.event(key=mllog_constants.INIT_STOP, value=None)
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MLLOGGER.event(key=mllog_constants.INIT_STOP, value=None)
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return
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return
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eval_step_bert.reset()
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if getenv("RESET_STEP", 1): eval_step_bert.reset()
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del eval_data, eval_result
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del eval_data, eval_result
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avg_lm_loss = sum(eval_lm_losses) / len(eval_lm_losses)
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avg_lm_loss = sum(eval_lm_losses) / len(eval_lm_losses)
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avg_clsf_loss = sum(eval_clsf_losses) / len(eval_clsf_losses)
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avg_clsf_loss = sum(eval_clsf_losses) / len(eval_clsf_losses)
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