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fix: fix automatic plugin test issue #3877

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fix: fix automatic plugin test issue #3877

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4 changes: 3 additions & 1 deletion .github/workflows/build-test-linux-x86_64.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -426,7 +426,9 @@ jobs:
set -euo pipefail
pushd .
cd tests/py/dynamo
python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/l2_dynamo_plugins_tests_results.xml automatic_plugin/
python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/l2_dynamo_plugins_tests_results.xml automatic_plugin/test_automatic_plugin.py
python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/l2_dynamo_plugins_tests_results.xml automatic_plugin/test_automatic_plugin_with_attrs.py
python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/l2_dynamo_plugins_tests_results.xml automatic_plugin/test_flashinfer_rmsnorm.py.py
popd

L2-torchscript-tests:
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5 changes: 3 additions & 2 deletions tests/py/dynamo/automatic_plugin/test_automatic_plugin.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,12 +3,13 @@

import torch
import torch.nn as nn
import torch_tensorrt
import triton
import triton.language as tl
from parameterized import parameterized
from torch.testing._internal.common_utils import run_tests

import torch_tensorrt

from ..conversion.harness import DispatchTestCase


Expand Down Expand Up @@ -39,7 +40,7 @@ def elementwise_mul(X: torch.Tensor, Y: torch.Tensor) -> torch.Tensor:
Z = torch.empty_like(X)

# Define block size
BLOCK_SIZE = 1024
BLOCK_SIZE = 64

# Grid of programs
grid = lambda meta: (X.numel() // meta["BLOCK_SIZE"],)
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5 changes: 3 additions & 2 deletions tests/py/dynamo/automatic_plugin/test_automatic_plugin_with_attrs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,12 +3,13 @@

import torch
import torch.nn as nn
import torch_tensorrt
import triton
import triton.language as tl
from parameterized import parameterized
from torch.testing._internal.common_utils import run_tests

import torch_tensorrt

from ..conversion.harness import DispatchTestCase


Expand Down Expand Up @@ -40,7 +41,7 @@ def elementwise_scale_mul(
Z = torch.empty_like(X)

# Define block size
BLOCK_SIZE = 1024
BLOCK_SIZE = 64

# Grid of programs
grid = lambda meta: (X.numel() // meta["BLOCK_SIZE"],)
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3 changes: 2 additions & 1 deletion tests/py/dynamo/automatic_plugin/test_flashinfer_rmsnorm.py
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Expand Up @@ -4,9 +4,10 @@
import pytest
import torch
import torch.nn as nn
import torch_tensorrt
from parameterized import parameterized
from torch.testing._internal.common_utils import run_tests

import torch_tensorrt
from torch_tensorrt._enums import dtype

from ..conversion.harness import DispatchTestCase
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