[mypy] Fix wrong type annotations related to tuple (#25660)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
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@@ -60,7 +60,7 @@ TENSORS_SHAPES_FN = [
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@torch.inference_mode()
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def test_rotary_embedding(
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is_neox_style: bool,
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tensor_shape_fn: Callable[[int, int, int, int], tuple[int]],
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tensor_shape_fn: Callable[[int, int, int, int], tuple[int, ...]],
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batch_size: int,
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seq_len: int,
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num_heads: int,
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@@ -165,7 +165,7 @@ def onednn_gemm_test_helper(primitive_cache_size: int,
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def test_onednn_int8_scaled_gemm(
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n: int,
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k: int,
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m_list: tuple[int],
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m_list: tuple[int, ...],
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per_tensor_a_scale: bool,
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per_tensor_b_scale: bool,
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use_bias: bool,
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@@ -196,7 +196,7 @@ def test_onednn_int8_scaled_gemm(
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def test_onednn_gemm(
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n: int,
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k: int,
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m_list: tuple[int],
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m_list: tuple[int, ...],
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use_bias: bool,
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use_stride: bool,
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dtype: torch.dtype,
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