masahi commented on issue #13664:
URL: https://github.com/apache/tvm/issues/13664#issuecomment-1365670002
It looks like amp is adding some dynamism, do you know why?
The following modified script that removed amp autocast works:
```
from transformers import BertTokenizer, BertConfig, BertModel
import tvm
from tvm import relay
import torch
class AutoModelAMP(BertModel):
def __init__(self, *args, **keyargs):
super().__init__(*args, **keyargs)
def forward(self, *args, **keyargs):
return super().forward(*args, **keyargs)
config = BertConfig.from_pretrained("bert-large-uncased")
config.return_dict = False
config.torchscript = True
model = AutoModelAMP(config).eval()
batch = 1
seq_len = 128
input = torch.zeros([batch, seq_len], dtype=torch.int).long()
inputs = {
"input_ids": input,
"attention_mask": input,
"token_type_ids": input,
}
input_list = []
for k, v in inputs.items():
input_list.append(v)
shape_list = []
for k, v in inputs.items():
shape_list.append((k, v.shape))
traced_model = torch.jit.trace(
model, input_list, strict=False).eval()
mod, params = relay.frontend.from_pytorch(traced_model, shape_list)
```
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