eleflea opened a new issue #7878:
URL: https://github.com/apache/tvm/issues/7878
Hi
I find a bug of relay. I used pytorch to quantize a grouped convolution
model, and an error was reported in `relay.frontend.from_pytorch` function.
Detailed as follows.
```
import tvm
from tvm import relay
import torch
from torch import nn
from torch import quantization
GROUPS = 4
class Net(nn.Module):
def __init__(self):
super().__init__()
self.quant = quantization.QuantStub()
self.dequant = quantization.DeQuantStub()
self.gconv = nn.Conv2d(12, 24, 3, groups=GROUPS, bias=False)
def forward(self, x):
x = self.quant(x)
return self.dequant(self.gconv(x))
net = Net()
net.eval()
net.qconfig = torch.quantization.get_default_qconfig('fbgemm')
net = torch.quantization.prepare(net, inplace=False)
net = torch.quantization.convert(net, inplace=False)
inp = torch.randn(1, 12, 32, 32)
script_module = torch.jit.trace(net, inp).eval()
input_name = "input" # the input name can be be arbitrary for PyTorch
frontend.
input_shapes = [(input_name, (1, 12, 32, 32))]
mod, params = relay.frontend.from_pytorch(script_module, input_shapes)
target = tvm.target.cuda()
with tvm.transform.PassContext(opt_level=3):
lib = relay.build_module.build(mod, target=target, params=params)
print('finish')
```
It raise:
```
The Relay type checker is unable to show the following types match.
In particular dimension 0 conflicts: 72 does not match 24.
The Relay type checker is unable to show the following types match.
In particular `Tensor[(24), float32]` does not match `Tensor[(72), float32]`
Traceback (most recent call last):
File "bug.py", line 33, in <module>
mod, params = relay.frontend.from_pytorch(script_module, input_shapes)
File
"/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/relay/frontend/pytorch.py",
line 3238, in from_pytorch
ret = converter.convert_operators(_get_operator_nodes(graph.nodes()),
outputs, ret_name)[0]
File
"/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/relay/frontend/pytorch.py",
line 2662, in convert_operators
self.record_output_type(relay_out)
File
"/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/relay/frontend/pytorch.py",
line 222, in record_output_type
self.infer_type_with_prelude(output)
File
"/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/relay/frontend/pytorch.py",
line 170, in infer_type_with_prelude
body = self.infer_type(val, self.prelude.mod)
File
"/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/relay/frontend/pytorch.py",
line 163, in infer_type
new_mod = transform.InferType()(new_mod)
File
"/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/ir/transform.py",
line 127, in __call__
return _ffi_transform_api.RunPass(self, mod)
File "tvm/_ffi/_cython/./packed_func.pxi", line 322, in
tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 257, in
tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./packed_func.pxi", line 246, in
tvm._ffi._cy3.core.FuncCall3
File "tvm/_ffi/_cython/./base.pxi", line 160, in tvm._ffi._cy3.core.CALL
tvm.error.DiagnosticError: Traceback (most recent call last):
[bt] (6)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(TVMFuncCall+0x5b)
[0x7fd44602622b]
[bt] (5)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(+0x80b06a)
[0x7fd4454b306a]
[bt] (4)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(tvm::transform::Pass::operator()(tvm::IRModule)
const+0xcd) [0x7fd4454b24ad]
[bt] (3)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(tvm::transform::ModulePassNode::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const+0x1b7) [0x7fd4454b1c27]
[bt] (2)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(+0x1195018)
[0x7fd445e3d018]
[bt] (1)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(tvm::DiagnosticContext::Render()+0x199)
[0x7fd44545ecc9]
[bt] (0)
/home/eleflea/.local/lib/python3.7/site-packages/tvm-0.8.dev704+g3a0e3a5bb-py3.7-linux-x86_64.egg/tvm/libtvm.so(+0x7b5d22)
[0x7fd44545dd22]
File "/home/eleflea/code/tvm/src/ir/diagnostic.cc", line 105
DiagnosticError: one or more error diagnostics were emitted, please check
diagnostic render for output.
```
But when `GROUPS = 1`, it works, so i think it is related to quantized group
conv2d.
Looking forward to your reply! Thank you.
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