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Arm backend: Add rank2 unit tests to test_linear #17254

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Arm backend: Add rank2 unit tests to test_linear #17254

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50 changes: 47 additions & 3 deletions backends/arm/test/ops/test_linear.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,40 @@
),
}

test_data_rank2_FP = {
# test_name: (test_data, out_features, has_bias)
"model_linear_rank2_zeros": lambda: (
torch.zeros(10, 20),
15,
True,
),
"model_linear_rank2_ones": lambda: (
torch.ones(2, 240),
960,
False,
),
"model_linear_rank2_negative_ones": lambda: (
torch.ones(10, 20) * (-1),
20,
True,
),
"model_linear_rank2_rand": lambda: (
torch.rand(2, 240),
960,
True,
),
"model_linear_rank2_negative_large_rand": lambda: (
torch.rand(10, 20) * (-100),
30,
False,
),
"model_linear_rank2_large_randn": lambda: (
torch.randn(15, 20) * 100,
20,
True,
),
}

test_data_rank4_FP = {
# test_name: (test_data, out_features, has_bias)
"model_linear_rank4_zeros": lambda: (
Expand Down Expand Up @@ -101,6 +135,13 @@
for q in [True, False]
}

# Generate a new test set paired with per_channel_quant=True/False.
test_data_rank2_INT = {
f"{k},per_channel_quant={q}": (lambda v=v, q=q: (*v(), q))
for (k, v) in test_data_rank2_FP.items()
for q in [True, False]
}

# Generate a new test set paired with per_channel_quant=True/False.
test_data_rank4_INT = {
f"{k},per_channel_quant={q}": (lambda v=v, q=q: (*v(), q))
Expand Down Expand Up @@ -192,7 +233,10 @@ def test_linear_tosa_INT_a8w4(test_data: torch.Tensor):
pipeline.run()


@common.parametrize("test_data", test_data_rank1_INT)
@common.parametrize(
"test_data",
test_data_rank1_INT | test_data_rank2_INT | test_data_rank4_INT,
)
@common.XfailIfNoCorstone300
def test_linear_u55_INT(test_data: torch.Tensor):
test_data, out_features, has_bias, per_channel_quantization = test_data()
Expand All @@ -213,7 +257,7 @@ def test_linear_u55_INT(test_data: torch.Tensor):

@common.parametrize(
"test_data",
test_data_rank1_INT | test_data_rank4_INT,
test_data_rank1_INT | test_data_rank2_INT | test_data_rank4_INT,
)
@common.XfailIfNoCorstone320
def test_linear_u85_INT(test_data: torch.Tensor):
Expand Down Expand Up @@ -264,7 +308,7 @@ def test_linear_vgf_quant(test_data: torch.Tensor):
pipeline.run()


test_data_all_16a8w = test_data_rank1_INT | test_data_rank4_INT
test_data_all_16a8w = test_data_rank1_INT | test_data_rank2_INT | test_data_rank4_INT


@common.parametrize("test_data", test_data_all_16a8w)
Expand Down
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