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491e85597a
* try to run commavq * fix 0 dim, start implementing new ops - Implement EmbedLayerNormalization - Implement Attention * SkipLayerNormalization and FastGelu * use original torch model, cast inputs * fix some ops: - properly do Cast - Attention: bi- and unidirectional - FastGelu: add bias before gelu * cleanup onnx_ops.py * add validation option to benchmark * cleanup imports * add checks incase onnx2torch implements ops in future * run onnx instead of original torch * just skip gpu on m1 * reactivate the other models * check for strange params & squash whitespace * cleanup * fix causal mask Attention * Range doesn't need int cast * embedding vocab_counter same dtype as input * no need to cast * always validate, fix PosixPath ort --------- Co-authored-by: George Hotz <george@comma.ai>