我正在尝试在同一进程中并行运行两个tensorflow模型。 在Tensorflow 1.x中,我们可以这样做,例如Keras Tensorflow - Exception while predicting from multiple threads graph = tf.Graph() session = tf.Session() # Create and use the model ... 在Tensorflow 2.0中,会话已被删除。 当我试图在同一
我正在尝试使用tensorflow 2.0和GPU (ResNet34 940 M)来训练深度剩余网络(总共有21,302,722个参数)。allocating tensor with shape[256,256,3,3] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node residual_unit_28/conv2d_64/Conv
Cannot assign a device for operation 'Conv3D': Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available.'; T in [DT_HALF]
[[Node: Conv3