ValueError: No gradients provided for any variable: ['sequential/conv2d/kernel:0', 'sequential_1/conv2d_3/gamma:0', 'sequential_4/batch_normalization_3/beta:0', 'sequential_5/conv2d_5
修剪和量化都是独立工作的,但是当我尝试修剪然后量化时,我得到了这个错误:ValueError: Input 0 of node sequential/prune_low_magnitude_dense/AssignVariableOp was passed float from sequential/prune_low_magnitude_dense/Mul/ReadVariableOp/resource,当我尝试量化然后进行修剪时,我得到了这个错误:Va
需要您的帮助,为文本检测设计cnn模型。调用keras.sequential时出错。fit(x_train,y_train,.)?我对每个图像都有多个GT注释的.txt文件,y_train是什么?’,但它是在不兼容形状的输入上调用的(无,).---------------------------------------------------------------------------ValueError回溯(最近一次调用) in (){layer_name}“’<
tf.cast(tf.constant(y),dtype=tf.float32)tf.random.set_seed(42)model = tf.keras.SequentialValueError: in user code:
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py"python3.7/di