tensorflow报错:Shape must be rank 2 but is rank 3 for 'MatMul' (op: 'MatMul')
tensorflow矩阵相乘，秩不一样报错 在tensorflow中写了这样一句：python [python] view plain copy print ? y_out = tf.matmul(outputs, W) y_out = tf.matmul(outputs, W) 其中，outputs的shape为[16,336,400]，W的shape为[400,1] 出现如下报错：web
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相关文章
- 1. Shape must be rank 1 but is rank 0 for 'bn_conv1_4/Reshape_4' (op: 'Reshape') with
- 2. 解决ValueError: Shape must be rank 1 but is rank 0 for ‘bn_conv1/Reshape_4’ (op: ‘Reshape’) with input
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- 4. pom.xml, must be "pom" but is "jar" @ ***
- 5. 理解keras中的batch_dot，dot方法和TensorFlow的matmul
- 6. maven的pom文件报错： must be "pom" but is "jar"
- 7. ValueError: Argument must be a dense tensor:... got shape [6, 60, 160, 3], but wanted [6].
- 8. Optional int parameter 'rank' is present but cannot be translated into a null value due to being dec
- 9. Wilcoxon Signed Rank Test
- 10. Game Rank