我在使用时收到此错误消息conv2d_transpose:
W tensorflow/core/common_runtime/executor.cc:1102] 0x7fc81f0d6250 Compute status: Invalid argument: Conv2DBackpropInput: Number of rows of out_backprop doesn't match computed: actual = 32, computed = 4
[[Node: generator/g_h1/conv2d_transpose = Conv2DBackpropInput[T=DT_FLOAT, padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](generator/g_h1/conv2d_transpose/output_shape, generator/g_h1/w/read, _recv_l_0)]]
但是,它是在编译损失函数(Adam)的同时构建图形之后发生的.关于什么会导致这个的任何想法？我怀疑它与输入尺寸有关,但我不确定为什么.
完整错误:https://gist.github.com/jimfleming/75d88e888044615dd6e3
相关代码:
# l shape: [batch_size, 32, 32, 4]
output_shape = [self.batch_size, 8, 8, 128]
filter_shape = [7, 7, 128, l.get_shape()[-1]]
strides = [1, 2, 2, 1]
with tf.variable_scope("g_h1"):
w = tf.get_variable('w', filter_shape, initializer=tf.random_normal_initializer(stddev=0.02))
h1 = tf.nn.conv2d_transpose(l, w, …tensorflow ×1