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Update hf_prune.py #87

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19 changes: 19 additions & 0 deletions hf_prune.py
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Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,25 @@ def main(args):
if pruner_type in ['taylor']:
example_prompts = get_examples('bookcorpus', tokenizer, 10, seq_len = 64)
logger.log("Start Backwarding in iterative steps = {}...".format(i))
if args.taylor in ['param_mix', 'param_second']:
for j in range(args.num_examples):
batch_input = example_prompts[j].unsqueeze(0)
loss = model(batch_input, labels=batch_input).loss
logger.log("Loss = {}".format(loss))
loss.backward()

for module_param in model.parameters():
module_param.grad = module_param.grad * module_param.grad / args.num_examples
if hasattr(module_param, 'acc_grad'):
module_param.acc_grad += module_param.grad
else:
module_param.acc_grad = copy.deepcopy(module_param.grad)
model.zero_grad()
del loss.grad

print(f"example_prompts.device: {example_prompts.device}")
print(f"model.device: {next(model.parameters()).device}")

loss = model(example_prompts, labels=example_prompts).loss
logger.log("Loss = {}".format(loss))
loss.backward()
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