[CI/Build][CPU][Bugfix] Fix CPU CI (#12150)
Signed-off-by: jiang1.li <jiang1.li@intel.com>
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@ -83,6 +83,6 @@ function cpu_tests() {
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tests/lora/test_qwen2vl.py"
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}
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# All of CPU tests are expected to be finished less than 25 mins.
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# All of CPU tests are expected to be finished less than 40 mins.
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export -f cpu_tests
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timeout 30m bash -c "cpu_tests $CORE_RANGE $NUMA_NODE"
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timeout 40m bash -c "cpu_tests $CORE_RANGE $NUMA_NODE"
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@ -30,8 +30,10 @@ class FatreluAndMul(CustomOp):
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def __init__(self, threshold: float = 0.):
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super().__init__()
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self.threshold = threshold
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if current_platform.is_cuda_alike() or current_platform.is_cpu():
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if current_platform.is_cuda_alike():
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self.op = torch.ops._C.fatrelu_and_mul
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elif current_platform.is_cpu():
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self._forward_method = self.forward_native
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def forward_native(self, x: torch.Tensor) -> torch.Tensor:
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d = x.shape[-1] // 2
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@ -100,11 +102,13 @@ class MulAndSilu(CustomOp):
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def __init__(self):
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super().__init__()
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if current_platform.is_cuda_alike() or current_platform.is_cpu():
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if current_platform.is_cuda_alike():
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self.op = torch.ops._C.mul_and_silu
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elif current_platform.is_xpu():
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from vllm._ipex_ops import ipex_ops
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self.op = ipex_ops.silu_and_mul
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elif current_platform.is_cpu():
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self._forward_method = self.forward_native
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def forward_native(self, x: torch.Tensor) -> torch.Tensor:
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"""PyTorch-native implementation equivalent to forward()."""
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