hi, i'm new here, i use the fllow code
onnx_graph = onnx.load(open(onnx_path, "rb"))
data_shape = (batch_size, 3, 224, 224)
mod, params = relay.frontend.from_onnx(onnx_graph, {"data": data_shape})
with tvm.transform.PassContext(opt_level=3):
qfunc = relay.quantize.prerequisite_optimize(mod, params=params)
with tvm.target.cuda():
with tvm.autotvm.apply_history_best(logfile):
qfunc = qtz.quantize(qfunc, params, dataset=dataset)
but the length of params returned by relay.frontend.from_onnx is zero. for
weight quant, no params is ok?
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