M1 最大 Tensorflow model.fit() InvalidArgumentError
M1 Max Tensorflow model.fit() InvalidArgumentError
这是我在 M1 Mac 上的第一个 CNN 项目,当我 运行 model.fit().
时遇到 InvalidArgumentError
我正在使用 tensorflow-metal 3.0、tensorflow-macos 2.7 和 运行ning MacOS 12.1.
early_stop = EarlyStopping(monitor="val_accuracy", patience=10)
optimizer = tf.keras.optimizers.Adam(learning_rate=lr, amsgrad=True)
model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
train_datagen = ImageDataGenerator(rescale = 1./255,
shear_range = 0.2,
zoom_range = 0.2,
horizontal_flip = True)
train_set = train_datagen.flow_from_directory(train_path,
target_size = (224, 224),
batch_size = batch_size,
class_mode = 'categorical')
res = model.fit(train_set,
validation_data=test_set,
batch_size=batch_size,
epochs=epochs,
steps_per_epoch=len(train_set),
validation_steps=len(test_set),
callbacks=[ckpt_saver, early_stop]
)
我已经通过使用其他优化器(不是 Adam)暂时解决了问题。
这是我在 M1 Mac 上的第一个 CNN 项目,当我 运行 model.fit().
时遇到 InvalidArgumentError我正在使用 tensorflow-metal 3.0、tensorflow-macos 2.7 和 运行ning MacOS 12.1.
early_stop = EarlyStopping(monitor="val_accuracy", patience=10)
optimizer = tf.keras.optimizers.Adam(learning_rate=lr, amsgrad=True)
model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
train_datagen = ImageDataGenerator(rescale = 1./255,
shear_range = 0.2,
zoom_range = 0.2,
horizontal_flip = True)
train_set = train_datagen.flow_from_directory(train_path,
target_size = (224, 224),
batch_size = batch_size,
class_mode = 'categorical')
res = model.fit(train_set,
validation_data=test_set,
batch_size=batch_size,
epochs=epochs,
steps_per_epoch=len(train_set),
validation_steps=len(test_set),
callbacks=[ckpt_saver, early_stop]
)
我已经通过使用其他优化器(不是 Adam)暂时解决了问题。