Key error 'conv2d/Bias'

Troubleshooting
#1

OS: Windows Python version: 3.8 Model: blazeface tflite model from mediapipe.

Code:

with open(model_path, 'rb') as f:
tflite_model_buf = f.read()
tflite_model = tflite.Model.GetRootAsModel(tflite_model_buf, 0)
input_tensor = "input"
input_shape  = (1, 128, 128, 3)
input_dtype  = "float32"

mod, params = relay.frontend.from_tflite(
    tflite_model, 
    shape_dict = {input_tensor: input_shape},
    dtype_dict = {input_tensor: input_dtype}
)
target = "llvm"
with transform.PassContext(opt_level=3):
    lib=relay.build(mod, target, params=params)

I found a related error in github issues for handpose estimation, but the key was not conv2d/Bias? Can someone direct me to how I can fix this problem. It has something to do with prequantized tflite models