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update test update readme fix test add ssymmetric quant op support
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JackCaoG
approved these changes
Jul 9, 2024
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This PR depends on #7605 to land first
With asymmetric quantization,
w_dq = w_int * weight_scaler - zero_point.Thus the matmul becomes
mamtul_out = x @ w_int * weight_scaler - x @ zero_point.unsqueeze(0).broadcast(x.shape[-1])To compute the item
x @ zero_point.unsqueeze(0).broadcast(x.shape[-1]), we useeinsum('...c, z', x, zero_point)for per-channel quant, andmatmul(x.sum(-1), zero_point)for blockwise quant.