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TorchScript bad_alloc issue #2542

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18 changes: 12 additions & 6 deletions torchrec/models/tests/test_deepfm.py
Original file line number Diff line number Diff line change
Expand Up @@ -35,8 +35,11 @@ def test_basic(self) -> None:

# check tracer compatibility
gm = torch.fx.GraphModule(dense_arch, Tracer().trace(dense_arch))
script = torch.jit.script(gm)
script(dense_arch_input)

# TODO: Causes std::bad_alloc in OSS env
# script = torch.jit.script(gm)

# script(dense_arch_input)


class FMInteractionArchTest(unittest.TestCase):
Expand Down Expand Up @@ -82,7 +85,9 @@ def test_basic(self) -> None:

# check tracer compatibility
gm = torch.fx.GraphModule(inter_arch, Tracer().trace(inter_arch))
torch.jit.script(gm)

# TODO: Causes std::bad_alloc in OSS env
# torch.jit.script(gm)


class SimpleDeepFMNNTest(unittest.TestCase):
Expand Down Expand Up @@ -204,10 +209,11 @@ def test_fx_script(self) -> None:

gm = symbolic_trace(deepfm_nn)

scripted_gm = torch.jit.script(gm)
# TODO: Causes std::bad_alloc in OSS env
# torch.jit.script(gm)

logits = scripted_gm(features, sparse_features)
self.assertEqual(logits.size(), (B, 1))
# logits = scripted_gm(features, sparse_features)
# self.assertEqual(logits.size(), (B, 1))


if __name__ == "__main__":
Expand Down
6 changes: 4 additions & 2 deletions torchrec/modules/tests/test_mc_modules.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
from typing import Dict

import torch
from torchrec.fx import Tracer
from torchrec.modules.mc_modules import (
average_threshold_filter,
DistanceLFU_EvictionPolicy,
Expand Down Expand Up @@ -357,5 +358,6 @@ def test_fx_jit_script_not_training(self) -> None:
)

model.train(False)
gm = torch.fx.symbolic_trace(model)
torch.jit.script(gm)
gm = torch.fx.GraphModule(model, Tracer().trace(model))
# TODO: Causes std::bad_alloc in OSS env
# torch.jit.script(gm)
12 changes: 7 additions & 5 deletions torchrec/modules/tests/test_mlp.py
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@
import torch
from hypothesis import given, settings
from torch import nn
from torchrec.fx import symbolic_trace
from torchrec.fx import symbolic_trace, Tracer
from torchrec.modules.mlp import MLP, Perceptron


Expand Down Expand Up @@ -99,13 +99,15 @@ def test_fx_script_Perceptron(self) -> None:
# Dry-run to initialize lazy module.
m(torch.randn(batch_size, in_features))

gm = symbolic_trace(m)
torch.jit.script(gm)
gm = torch.fx.GraphModule(m, Tracer().trace(m))
# TODO: Causes std::bad_alloc in OSS env
# torch.jit.script(gm)

def test_fx_script_MLP(self) -> None:
in_features = 3
layer_sizes = [16, 8, 4]
m = MLP(in_features, layer_sizes)

gm = symbolic_trace(m)
torch.jit.script(gm)
gm = torch.fx.GraphModule(m, Tracer().trace(m))
# TODO: Causes std::bad_alloc in OSS env
# torch.jit.script(gm)
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