forked from mrq/bitsandbytes-rocm
pre-cast
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@ -538,14 +538,11 @@ def test_linear8bitlt_no_fp16_weights(threshold, memory_efficient_backward):
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assert mlp.fc1.weight.device.type == "cuda"
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assert mlp.fc2.weight.device.type == "cuda"
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mlp = (
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MLP8bit(
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mlp = MLP8bit(
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32, 64, threshold=threshold, has_fp16_weights=False, memory_efficient_backward=memory_efficient_backward
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)
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.to(torch.float16)
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.to("cuda")
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)
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w1, w2 = mlp.fc1.weight.clone(), mlp.fc2.weight.clone()
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mlp = mlp.cuda().half()
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for i in range(100):
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b1 = torch.randn(16, 8, 32, device="cuda").half()
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