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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/02/27 05:09:31 UTC
[GitHub] [tvm] apivovarov opened a new issue #7546: [torch] slice with Var Length fails
apivovarov opened a new issue #7546:
URL: https://github.com/apache/tvm/issues/7546
`torch.slice` works fine for fixed ranges (e.g. a[0:2]). If instead of particular number I use Var for Length (just for Length) (e.g. a[0, L] then `from_pytorch` fails.
The code to reproduce the issue:
```
import torch
import tvm
from tvm import relay
import numpy as np
class Net(torch.nn.Module):
def __init__(self):
super(Net, self).__init__()
def forward(self, values, length):
return values[0:length]
net = Net()
a = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
len = torch.tensor(2)
net(a, len)
traced_net = torch.jit.trace(net, (a, len))
ctx = tvm.cpu(0)
target = 'llvm'
shape_list = [("input0", [3,3]),("input1", []),]
mod, params = relay.frontend.from_pytorch(traced_net, shape_list)
```
Error:
```
>>> mod, params = relay.frontend.from_pytorch(traced_net, shape_list)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/pivovaa/workspace/tvm/python/tvm/relay/frontend/pytorch.py", line 3180, in from_pytorch
ret = converter.convert_operators(_get_operator_nodes(graph.nodes()), outputs, ret_name)[0]
File "/Users/pivovaa/workspace/tvm/python/tvm/relay/frontend/pytorch.py", line 2601, in convert_operators
relay_out = relay_op(
File "/Users/pivovaa/workspace/tvm/python/tvm/relay/frontend/pytorch.py", line 403, in slice
if target_begin == 0 and target_end >= index_size_limit and stride == 1:
File "/Users/pivovaa/workspace/tvm/python/tvm/relay/expr.py", line 84, in __ge__
raise TypeError('convert "%s" with `const` first' % str(other))
TypeError: convert "9223372036854775807" with `const` first
```
@masahi
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[GitHub] [tvm] comaniac closed issue #7546: [torch] slice with Var Length fails
Posted by GitBox <gi...@apache.org>.
comaniac closed issue #7546:
URL: https://github.com/apache/tvm/issues/7546
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