GlobalStep
:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: module_apply_default/InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D= 浏览0提问于2018-06-12得票数 0 ...
= slim.max_pool2d(net, 3, stride=2, padding='VALID', scope='MaxPool_1a_3x3') net = tf.concat([tower_conv..., 'Block8', [net], reuse=reuse): with tf.variable_scope('Branch_0'): tower_conv = slim.conv2d(net TensorFlow学习笔记(二十六)CNN的9大模型之LeNet5的原理讲解 ='conv...
frame #4: at::native::fill_kernel_cuda(at::TensorIterator&, c10::Scalar) + 0x1a (0x7f52471b742a in /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so) frame #5: <unknown function> + 0xc89f10 (0x7f5280ac8f10 in /opt/conda/lib/python3.7/site-packages/torch/lib/l...