From ec62186a4ea1b1f2444ab3deb376d9e15303b571 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=94=90=E7=92=9E?= <1039183305@qq.com> Date: Tue, 17 Jan 2023 03:01:50 +0000 Subject: [PATCH] update TensorFlow/contrib/cv/Transferring-GAN_ID1252_for_Tensorflow/gan_cifar_resnet_acc.py. MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: 唐璞 <1039183305@qq.com> --- .../gan_cifar_resnet_acc.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/TensorFlow/contrib/cv/Transferring-GAN_ID1252_for_Tensorflow/gan_cifar_resnet_acc.py b/TensorFlow/contrib/cv/Transferring-GAN_ID1252_for_Tensorflow/gan_cifar_resnet_acc.py index 5e2627c11..1644dec91 100644 --- a/TensorFlow/contrib/cv/Transferring-GAN_ID1252_for_Tensorflow/gan_cifar_resnet_acc.py +++ b/TensorFlow/contrib/cv/Transferring-GAN_ID1252_for_Tensorflow/gan_cifar_resnet_acc.py @@ -159,7 +159,9 @@ def MeanPoolConv(name, input_dim, output_dim, filter_size, inputs, he_init=True, def UpsampleConv(name, input_dim, output_dim, filter_size, inputs, he_init=True, biases=True): output = inputs - output = tf.concat([output, output, output, output], axis=1) + #output = tf.concat([output, output, output, output], axis=1) + for i in range(3): + output = tf.concat([output,output], axis=1) output = tf.transpose(output, [0, 2, 3, 1]) output = tf.depth_to_space(output, 2) output = tf.transpose(output, [0, 3, 1, 2]) -- Gitee