error raised when loading model_weights "include_top=True"

[TwistFateBOY]

here is the code
model = VGGish(include_top=True)
model.load_weights(WEIGHTS_PATH_TOP)

here is the bug
ValueError: Dimension 0 in both shapes must be equal, but are 63488 and 12288. Shapes are [63488,4096] and [12288,4096]. for 'Assign_12' (op: 'Assign') with input shapes: [63488,4096], [12288,4096].

what's wrong?

[sourav22899]

@TwistFateBOY This is the same issue raised in issue#2. The following solution is mentioned to solve it.

This is because the length of single example in our version is different from the slim one, i.e., 496 vs 96, or 4.96 vs 0.96. The different lengths could result in different feature dimensions after the flatten operation. To remove the problem, you can change the parameter into "NUM_FRAMES =96", "EXAMPLE_WINDOW_SECONDS = 0.96", and "EXAMPLE_HOP_SECONDS = 0.96".