YaoJiawei329 commented on issue #14681:
URL: https://github.com/apache/tvm/issues/14681#issuecomment-1516371881
And I try to use the following code to tune the same model, but it also did
not work, just hangon.
`
from tvm.driver import tvmc
from tvm import autotvm, relay
def tvmc_tune(model_path, shape_dict, target, log_file):
model = tvmc.load(model_path, shape_dict=shape_dict) # 第 1 步: 加载 +
shape_dict
tvmc.tune(model, target=target, tuning_records=log_file) # 第 1.5 步：可选
Tune
package = tvmc.compile(model, target=target, tuning_records=log_file) #
第 2 步：编译
mod, params = relay.frontend.from_onnx(model_path, shape_dict)
with autotvm.apply_history_best(log_file):
with tvm.transform.PassContext(opt_level=4, config={}):
lib = relay.build(mod, target=target, params=params)
lib.export_library(model_path.replace("onnx", "so"))
if __name__ == "__main__":
model_path = "./yolov7.onnx"
shape_dict = {'images':[1,3,640,640]}
target = "llvm"
log_file = 'tune.json'
tvmc_tune(model_path, shape_dict, target, log_file)
`
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