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* dnn: check weight, bias and past_state in CausalConvWithState Check the ONNX shapes of weight [C, 1, k], bias [C] and past_state [B, C, k - 1] against the input in getMemoryShapes, and require them to be float in forward, since the kernel indexes all three by input channel and reads them as float. * dnn: check CausalConvWithState input types before fp16 conversion, require rank-1 bias
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