use new q4_0 batch kernel (#12396)
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1 changed files with 10 additions and 6 deletions
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@ -362,12 +362,16 @@ def use_batch_forward(x: torch.Tensor, qtype: int, output_len: int):
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batch_size = x.shape[0]
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batch_size = x.shape[0]
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hard_condition = (
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hard_condition = (
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x.dtype in [torch.float, torch.half]
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x.dtype in [torch.float, torch.half]
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and x.shape[1] % 256 == 0
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and (
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and output_len % 32 == 0
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x.shape[1] % 128 == 0 and qtype in [SYM_INT4]
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and device in ["arc", "flex", "pvc", "mtl"]
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or (
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and qtype in [SYM_INT4, ASYM_INT4, SYM_INT8, FP4,
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x.shape[1] % 256 == 0
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FP8E5, FP6, FP8E4, Q4_K, Q6_K]
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and output_len % 32 == 0
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and batch_size <= 64
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and device in ["arc", "flex", "pvc", "mtl"]
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and qtype in [ASYM_INT4, SYM_INT8, FP4, FP8E5, FP6, FP8E4, Q4_K, Q6_K]
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)
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)
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and batch_size <= 48
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)
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)
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if hard_condition:
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if hard_condition:
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return (
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return (
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