Reorg for converters in hardtanh(FX Converter Refactor [5/N]) <Target: converter_reorg_proto>#1901
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narendasan merged 1 commit intomainfrom May 30, 2023
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There are some changes that do not conform to Python style guidelines:
--- py/torch_tensorrt/fx/converters/aten_ops_converters.py 2023-05-10 05:48:48.094928 +0000
+++ py/torch_tensorrt/fx/converters/aten_ops_converters.py 2023-05-10 05:49:06.307517 +0000
@@ -216,11 +216,11 @@
SourceIR.ATEN,
name,
args[0],
)
-
+
@tensorrt_converter(torch.ops.aten.linear)
def aten_ops_linear(
network: TRTNetwork,
target: Target,
args: Tuple[Argument, ...],
--- py/torch_tensorrt/fx/converters/nn_ops_converters.py 2023-05-10 05:48:48.094928 +0000
+++ py/torch_tensorrt/fx/converters/nn_ops_converters.py 2023-05-10 05:49:06.689486 +0000
@@ -33,6 +33,6 @@
network=network,
target="torch.nn.modules.activation.Hardtanh",
source_ir=SourceIR.NN,
name=layer_name,
input_val=kwargs["input"],
- )
\ No newline at end of file
+ )
--- py/torch_tensorrt/fx/converters/acc_ops_converters.py 2023-05-10 05:48:48.094928 +0000
+++ py/torch_tensorrt/fx/converters/acc_ops_converters.py 2023-05-10 05:49:08.587441 +0000
@@ -3596,11 +3596,11 @@
target,
SourceIR.ATEN,
name,
args[0],
)
-
+
@tensorrt_converter(acc_ops.interpolate)
def acc_ops_interpolate(
network: TRTNetwork,
target: Target,
--- py/torch_tensorrt/fx/test/converters/aten_op/test_hard_tanh_aten.py 2023-05-10 05:48:48.098928 +0000
+++ py/torch_tensorrt/fx/test/converters/aten_op/test_hard_tanh_aten.py 2023-05-10 05:49:08.918275 +0000
@@ -48,6 +48,6 @@
TestModule(), input_specs, expected_ops={torch.ops.aten.hardtanh.default}
)
if __name__ == "__main__":
- run_tests()
\ No newline at end of file
+ run_tests()There was a problem hiding this comment.
There are some changes that do not conform to Python style guidelines:
--- py/torch_tensorrt/fx/converters/aten_ops_converters.py 2023-05-11 23:31:10.187297 +0000
+++ py/torch_tensorrt/fx/converters/aten_ops_converters.py 2023-05-11 23:31:26.881529 +0000
@@ -209,17 +209,11 @@
kwargs: Dict[str, Argument],
name: str,
) -> Union[TRTTensor, Sequence[TRTTensor]]:
return activation.hardtanh(
- network,
- target,
- SourceIR.ATEN,
- name,
- args[0],
- args[1],
- args[2]
+ network, target, SourceIR.ATEN, name, args[0], args[1], args[2]
)
@tensorrt_converter(torch.ops.aten.linear)
def aten_ops_linear(
--- py/torch_tensorrt/fx/converters/impl/activation.py 2023-05-11 23:31:10.187297 +0000
+++ py/torch_tensorrt/fx/converters/impl/activation.py 2023-05-11 23:31:27.090627 +0000
@@ -93,11 +93,11 @@
source_ir,
name,
operation_type,
input_val,
alpha,
- beta,
+ beta,
dyn_range_fn=hardtanh_dyn_range_fn,
)
def relu(
--- py/torch_tensorrt/fx/converters/acc_ops_converters.py 2023-05-11 23:31:10.187297 +0000
+++ py/torch_tensorrt/fx/converters/acc_ops_converters.py 2023-05-11 23:31:28.868334 +0000
@@ -3596,11 +3596,11 @@
target,
SourceIR.ATEN,
name,
kwargs["input"],
kwargs["min_val"],
- kwargs["max_val"]
+ kwargs["max_val"],
)
@tensorrt_converter(acc_ops.interpolate)
def acc_ops_interpolate(1696cd2 to
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wushirong
approved these changes
May 25, 2023
corrections and correcting python linting correcting linting error correcting nn_ops_converter.py Fixing acc op
d438eaa to
5fd8003
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narendasan
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…: converter_reorg_proto> (#1901)
narendasan
pushed a commit
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this pull request
Jun 2, 2023
…: converter_reorg_proto> (#1901)
narendasan
pushed a commit
that referenced
this pull request
Jun 3, 2023
…: converter_reorg_proto> (#1901)
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