WebbStruggling with shapes on a custom layer Question I'm trying to create a custom layer which takes the previous layer's output, and applies a binary mask where the n highest values become ones, and the rest become zeroes. So if n=3, and an input is [2,1,9,2,5,7] the output would be [0,0,1,0,1,1] Here's the layer I wrote: WebbIn mathematics, homology [1] is a general way of associating a sequence of algebraic objects, such as abelian groups or modules, with other mathematical objects such as topological spaces. Homology groups were originally defined in algebraic topology. Similar constructions are available in a wide variety of other contexts, such as abstract ...
关于python:Tensorflow错误:ValueError:形状必须相等等级,但必须是2和1通过将形状1 …
Webb我正在尝试使用tensorflow来实现dcgan并遇到以下错误:. 1. 2. ValueError: Shapes must be equal rank, but are 2 and 1. From merging shape 1 with other shapes. for 'generator/Reshape/packed' ( op: 'Pack') with input shapes: [?,2048], [100,2048], [2048]. 据iv收集,它表明我的张量形状不同,但是我看不到需要 ... Webb10 dec. 2024 · The error is stating that the expected input is a scalar (rank 0), but has a shape of ([1],[1]). Usually you can get around this by reshaping the input to a scalar value … imb bank campbelltown
ValueError: Shapes must be equal rank, but are 1 and 2
WebbUnited Kingdom 5K views, 342 likes, 69 loves, 662 comments, 216 shares, Facebook Watch Videos from UK Column: Mike Robinson, Patrick Henningsen and... WebbTensorflow : ValueError: Shapes must be equal rank, but are 0 and 2 score:0 Here tf.matmul ( (x1,Wo1)+ bo1 you're using tf.matmul (a,b), that's the matrix multiplication operation. This op requires that both a and b are matrices (tensor with rank >=2). In your case, you're multiplying x1 that's defined like Webb21 feb. 2024 · ValueError: Shapes must be equal rank, but are 2 and 1 From merging shape 0 with other shapes. for 'logistic_loss/logits' (op: 'Pack') with input shapes: [555,2], [1]. … imb bank careers