tensorflow.python.framework.errors_impl.InvalidArgumentError: Failed to create a directory: log/C:; Invalid argument
这个代码我改了一点就运行不了了,提示无法创建文件夹是什么原因?
我在123文件夹里建立了TO文件夹里面也建立了log 但是还是报这个错误
# train_model.py
import numpy as np
from alexnet import alexnet
WIDTH = 214
HEIGHT = 132
LR = 1e-3
EPOCHS = 10
MODEL_NAME = 'C:/Users/Administrator/Desktop/123/pygta5-car-fast-{}-{}-{}-epochs-300K-data.model'.format(LR, 'alexnetv2',EPOCHS)
model = alexnet(WIDTH, HEIGHT, LR)
hm_data = 22
for i in range(EPOCHS):
for i in range(1,hm_data+1):
train_data = np.load('C:/Users/Administrator/Desktop/123/training_data-{}-balanced.npy'.format(i))
train = train_data[:-100]
test = train_data[-100:]
X = np.array([i[0] for i in train]).reshape(-1,WIDTH,HEIGHT,1)
Y = [i[1] for i in train]
test_x = np.array([i[0] for i in test]).reshape(-1,WIDTH,HEIGHT,1)
test_y = [i[1] for i in test]
model.fit({'input': X}, {'targets': Y}, n_epoch=1, validation_set=({'input': test_x}, {'targets': test_y}),
snapshot_step=500, show_metric=True, run_id=MODEL_NAME)
model.save(MODEL_NAME)
# tensorboard --logdir=foo:C:/path/to/log