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5 changes: 5 additions & 0 deletions py/torch_tensorrt/dynamo/conversion/impl/unary/ops.py
Original file line number Diff line number Diff line change
Expand Up @@ -393,6 +393,11 @@ def neg(
name: str,
input_val: TRTTensor,
) -> TRTTensor:
if (isinstance(input_val, TRTTensor)) and (
input_val.dtype == trt.int8 or input_val.dtype == trt.int32
):
input_val = cast_trt_tensor(network, input_val, trt.float32, name)

return convert_unary(
network, target, source_ir, name, trt.UnaryOperation.NEG, input_val
)
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,8 @@
from parameterized import parameterized
from torch.testing._internal.common_utils import run_tests
from torch_tensorrt import Input
from torch_tensorrt.dynamo.test_utils import DispatchTestCase

from .harness import DispatchTestCase


class TestNegConverter(DispatchTestCase):
Expand Down Expand Up @@ -43,8 +44,8 @@ def forward(self, input):
self.run_test(
neg(),
inputs,
output_dtypes=[torch.int32],
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The output dtype will not agree with the casted output dtype unless another cast is inserted to "undo" the initial cast. Here, for example, if the input is torch.int32, the output will be torch.float.

expected_ops={torch.ops.aten.neg.default},
check_dtype=False,
)


Expand Down