我正在尝试训练一组帧以使用keras来检测异常。当batch_size = 1时，它正在工作，但是当我将其更改为30时，我得到了一个错误，当我将batch_size返回到1时，它不再起作用。
我的代码：
from keras.callbacks import ModelCheckpoint, EarlyStopping
from model import load_model
import numpy as np
import argparse
parser=argparse.ArgumentParser()
parser.add_argument('n_epochs',type=int)
args=parser.parse_args()
X_train=np.load('training.npy')
frames=X_train.shape[2]
#Need to make number of frames divisible by 10
frames=frames-frames%10
X_train=X_train[:,:,:frames]
X_train=X_train.reshape(-1,227,227,10)
X_train=np.expand_dims(X_train,axis=4)
Y_train=X_train.copy()
epochs=args.n_epochs
batch_size=1
if __name__=="__main__":
model=load_model()
callback_save = ModelCheckpoint("model.h5",
monitor="mean_squared_error", save_best_only=True)
callback_early_stopping = EarlyStopping(monitor='val_loss', patience=3)
print('Model has been loaded')
model.fit(X_train,Y_train,
batch_size=batch_size,
epochs=epochs,
callbacks = [callback_save,callback_early_stopping]
)
我收到此错误：
Using TensorFlow backend.
2019-02-04 08:37:27.473383: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-02-04 08:37:28.532133: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.30GiB
2019-02-04 08:37:28.546223: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-02-04 08:37:29.561369: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-02-04 08:37:29.566360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2019-02-04 08:37:29.570356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
2019-02-04 08:37:29.581381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3013 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
WARNING:tensorflow:From C:\Users\alaaa\Anaconda31\envs\python-3.6\lib\site-packages\keras\backend\tensorflow_backend.py:1188: calling reduce_sum (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating: keep_dims is deprecated, use keepdims instead
WARNING:tensorflow:From C:\Users\alaaa\Anaconda31\envs\python-3.6\lib\site-packages\keras\backend\tensorflow_backend.py:1290: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Model has been loaded
Epoch 1/1
2019-02-04 08:37:40.836650: E tensorflow/stream_executor/cuda/cuda_driver.cc:981] failed to synchronize the stop event: CUDA_ERROR_LAUNCH_FAILED: unspecified launch failure
2019-02-04 08:37:40.846484: E tensorflow/stream_executor/cuda/cuda_timer.cc:55] Internal: error destroying CUDA event in context 0000020EB9E24AA0: CUDA_ERROR_LAUNCH_FAILED: unspecified launch failure
2019-02-04 08:37:40.861133: E tensorflow/stream_executor/cuda/cuda_timer.cc:60] Internal: error destroying CUDA event in context 0000020EB9E24AA0: CUDA_ERROR_LAUNCH_FAILED: unspecified launch failure
2019-02-04 08:37:40.893425: F tensorflow/stream_executor/cuda/cuda_dnn.cc:231] Check failed: status == CUDNN_STATUS_SUCCESS (7 vs. 0)Failed to set cuDNN stream.