From 27239340b3193a860e5dfd6439b47c0be494cde1 Mon Sep 17 00:00:00 2001
From: Digant Desai <digantdesai@meta.com>
Date: Tue, 3 Nov 2026 06:24:21 -0800
Subject: [PATCH] [executorch][test-suite] Feed the Linear tests inputs with
 the model's 67 input features

Pull Request resolved: https://github.com/pytorch/executorch/pull/24355

Eight of the fourteen `test_linear.py` models were fed 64-feature inputs, but `Model` defaults to `in_features=67`, so eager rejected them and every backend skipped them. The dtype, no-bias, batch-size and leading-batch tests now pass 67-feature inputs.

Authored with Claude Code.

@bypass-github-export-checks
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ghstack-source-id: 463657740
@exported-using-ghexport

Differential Revision: [D128254891](https://our.internmc.facebook.com/intern/diff/D128254891/)
---
 backends/test/suite/operators/test_linear.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/backends/test/suite/operators/test_linear.py b/backends/test/suite/operators/test_linear.py
index 30ae963a1ba..0dc4ef3fedb 100644
--- a/backends/test/suite/operators/test_linear.py
+++ b/backends/test/suite/operators/test_linear.py
@@ -41,7 +41,7 @@ class Linear(OperatorTest):
     def test_linear_dtype(self, flow: TestFlow, dtype) -> None:
         self._test_op(
             Model().to(dtype),
-            ((torch.rand(16, 64) * 10).to(dtype),),
+            ((torch.rand(16, 67) * 10).to(dtype),),
             flow,
         )
 
@@ -49,7 +49,7 @@ def test_linear_dtype(self, flow: TestFlow, dtype) -> None:
     def test_linear_no_bias_dtype(self, flow: TestFlow, dtype) -> None:
         self._test_op(
             Model(bias=False).to(dtype),
-            ((torch.rand(16, 64) * 10).to(dtype),),
+            ((torch.rand(16, 67) * 10).to(dtype),),
             flow,
         )
 
@@ -78,7 +78,7 @@ def test_linear_feature_sizes(self, flow: TestFlow) -> None:
     def test_linear_no_bias(self, flow: TestFlow) -> None:
         self._test_op(
             Model(bias=False),
-            (torch.randn(16, 64),),
+            (torch.randn(16, 67),),
             flow,
         )
         self._test_op(
@@ -90,17 +90,17 @@ def test_linear_no_bias(self, flow: TestFlow) -> None:
     def test_linear_batch_sizes(self, flow: TestFlow) -> None:
         self._test_op(
             Model(),
-            (torch.randn(8, 64),),
+            (torch.randn(8, 67),),
             flow,
         )
         self._test_op(
             Model(),
-            (torch.randn(32, 64),),
+            (torch.randn(32, 67),),
             flow,
         )
         self._test_op(
             Model(),
-            (torch.randn(100, 64),),
+            (torch.randn(100, 67),),
             flow,
         )
 
@@ -114,11 +114,11 @@ def test_linear_unbatched(self, flow: TestFlow) -> None:
     def test_linear_leading_batch(self, flow: TestFlow) -> None:
         self._test_op(
             Model(),
-            (torch.randn(4, 8, 64),),
+            (torch.randn(4, 8, 67),),
             flow,
         )
         self._test_op(
             Model(),
-            (torch.randn(2, 4, 8, 64),),
+            (torch.randn(2, 4, 8, 67),),
             flow,
         )