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#0: disable tests on GS due to bad pcc
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sjameelTT committed Dec 12, 2024
1 parent 2a2820b commit cef79c9
Showing 1 changed file with 6 additions and 1 deletion.
7 changes: 6 additions & 1 deletion tests/ttnn/unit_tests/operations/test_permute.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@
import itertools

from tests.ttnn.utils_for_testing import assert_with_pcc
from models.utility_functions import is_blackhole
from models.utility_functions import is_blackhole, is_grayskull, skip_for_grayskull


@pytest.mark.parametrize("h", [32])
Expand Down Expand Up @@ -185,6 +185,7 @@ def generate_permutations(N):
yield perm


@skip_for_grayskull("tilize_block gives bad pcc after second iteration")
@pytest.mark.parametrize("shape", [(7, 7, 7, 7, 7)])
@pytest.mark.parametrize("perm", generate_permutations(5))
@pytest.mark.parametrize("memory_config", [ttnn.DRAM_MEMORY_CONFIG, ttnn.L1_MEMORY_CONFIG])
Expand All @@ -203,6 +204,7 @@ def test_permute_5d_width(shape, perm, memory_config, dtype, device):
assert_with_pcc(torch_output, tt_output, 0.9999)


@skip_for_grayskull("tilize_block gives bad pcc after second iteration")
@pytest.mark.parametrize("shape", [(3, 65, 3, 3, 65), (1, 6, 256, 20, 50), (6, 20, 50, 1, 256)])
@pytest.mark.parametrize("perm", [(4, 0, 3, 2, 1), (1, 3, 4, 0, 2), (3, 0, 4, 1, 2)])
@pytest.mark.parametrize("memory_config", [ttnn.DRAM_MEMORY_CONFIG, ttnn.L1_MEMORY_CONFIG])
Expand All @@ -223,6 +225,7 @@ def test_permute_5d_blocked(shape, perm, memory_config, dtype, device):
assert_with_pcc(torch_output, tt_output, 0.9999)


@skip_for_grayskull("tilize_block gives bad pcc after second iteration")
def test_permute_nd(device):
torch_tensor = torch.rand((1, 3, 16, 16, 16, 16), dtype=torch.bfloat16)
input_tensor = ttnn.from_torch(torch_tensor, layout=ttnn.ROW_MAJOR_LAYOUT, device=device)
Expand All @@ -245,6 +248,8 @@ def test_permute_squeeze(device):
@pytest.mark.parametrize("memory_config", [ttnn.DRAM_MEMORY_CONFIG, ttnn.L1_MEMORY_CONFIG])
@pytest.mark.parametrize("dtype", [ttnn.bfloat16, ttnn.float32])
def test_permute_3D(shape, perm, layout, memory_config, dtype, device):
if is_grayskull() and dtype == ttnn.float32:
pytest.skip("Grayskull doesn't support float32")
torch_tensor = torch.rand(shape, dtype=torch.bfloat16)
input_tensor = ttnn.from_torch(torch_tensor, layout=layout, device=device, dtype=dtype, memory_config=memory_config)
output_tensor = ttnn.permute(input_tensor, perm)
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