Getting error while predicting on my own video.(On a similar network model)

[Mohsin365]

Error :
InvalidArgumentError Traceback (most recent call last)
in
50 sequence_start=(sequence_start+1)%32
51
---> 52 result_prob=model.predict(sequence_arr,None)
53 y_class= result_prob.argmax(axis=-1)
54 label=LABELS[y_class[0]]
InvalidArgumentError: Input to reshape is a tensor with 2048 values, but the requested shape has 524288
[[{{node dense_1/Reshape_2}}]]

Code Snippet :
X_ = np.asarray(openpose_output, dtype=np.float32)
X_ = X_[np.newaxis, :, :]
X_=X_.reshape(X_.shape[0],X_.shape[1],X_.shape[2]*X_.shape[3])
sequence_arr=np.append(X_[:,sequence_start:,:],X_[:,:sequence_start,:],axis=1)
sequence_start=(sequence_start+1)%32

        result_prob=model.predict(sequence_arr,None)
        y_class= result_prob.argmax(axis=-1)
        label=LABELS[y_class[0]]
        print("Iterator::",iterator," Label ::",label)
        cv2.putText(frame, label, (50, 150), cv2.FONT_HERSHEY_COMPLEX, .8, (255, 50, 0),lineType=cv2.LINE_AA)