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new f21a17b67c [Pytorch] frontend full_impl fix (#14122)
f21a17b67c is described below
commit f21a17b67cfd1efb40dbb2271ebca28e7a7c450f
Author: Jian Sheng <[email protected]>
AuthorDate: Sat Feb 25 20:16:29 2023 -0800
[Pytorch] frontend full_impl fix (#14122)
Minor fix in pytorch frontend to compile gpt2 model, reproduce script.
torch_version = 1.13.1
transformers_version = 4.26.1
```
from transformers import GPT2LMHeadModel
import torch
import tvm
from tvm import relay
inp = torch.ones((1, 128)).to(torch.int64)
input_shapes = [("input_ids", ((1, 128), "int64"))]
model = GPT2LMHeadModel.from_pretrained('gpt2', return_dict=False)
trace_model = torch.jit.trace(model, inp, strict=False)
outputs = trace_model(inp)
mod, params = relay.frontend.from_pytorch(trace_model, input_shapes)
with tvm.transform.PassContext(opt_level=3):
lib = relay.build(mod, target='llvm', params=params)
runtime =
tvm.contrib.graph_executor.GraphModule(lib["default"](tvm.device('cpu', 0)))
runtime.set_input("input_ids", inp.numpy())
runtime.run()
out = runtime.get_output(0).numpy()
print(out)
print('Done...')
```
Before the fix, the error message
```
Traceback (most recent call last):
File "gpt2_compile.py", line 13, in <module>
mod, params = relay.frontend.from_pytorch(trace_model, input_shapes)
File "/home/ubuntu/apache_tvm/tvm/python/tvm/relay/frontend/pytorch.py",
line 4791, in from_pytorch
outputs =
converter.convert_operators(_get_operator_nodes(graph.nodes()), outputs,
ret_name)
File "/home/ubuntu/apache_tvm/tvm/python/tvm/relay/frontend/pytorch.py",
line 4164, in convert_operators
relay_out = relay_op(
File "/home/ubuntu/apache_tvm/tvm/python/tvm/relay/frontend/pytorch.py",
line 841, in full
return self.full_impl(data, fill_value, dtype)
File "/home/ubuntu/apache_tvm/tvm/python/tvm/relay/frontend/pytorch.py",
line 743, in full_impl
fill_value = _expr.const(fill_value, dtype=dtype)
File "/home/ubuntu/apache_tvm/tvm/python/tvm/relay/expr.py", line 707, in
const
raise ValueError("value has to be scalar or NDArray")
ValueError: value has to be scalar or NDArray
```
because `fill_value` is
```
%0 = cast(64, dtype="float32");
power(%0, 0.5f)
```
---
python/tvm/relay/frontend/pytorch.py | 2 ++
1 file changed, 2 insertions(+)
diff --git a/python/tvm/relay/frontend/pytorch.py
b/python/tvm/relay/frontend/pytorch.py
index 57997bb894..0dc9ffef6f 100644
--- a/python/tvm/relay/frontend/pytorch.py
+++ b/python/tvm/relay/frontend/pytorch.py
@@ -738,6 +738,8 @@ class PyTorchOpConverter:
size = _op.concatenate(tmp, axis=0)
if not isinstance(fill_value, _expr.Constant):
+ if isinstance(fill_value, _expr.Expr):
+ fill_value = _infer_value(fill_value, {})
fill_value = _expr.const(fill_value, dtype=dtype)
out = _op.full(fill_value, size, dtype=dtype)
if need_reshape:
