Shape must be rank 1 but is rank 2
Webbtensorflow.python.framework.errors_impl.InvalidArgumentError: Shape must be rank 1 but is rank 2 for 'strided_slice' (op: 'StridedSlice') with input shapes: [1000], [1,700], [1,700], … Webb9 apr. 2024 · 初学TF时矩阵乘法报错： ValueError: Shape must be rank 2 but is rank 1 for 'MatMul' (op: 'MatMul') with input shapes: [2], [2]. 解决方法： 矩阵相乘是对应的行和列相 …
Shape must be rank 1 but is rank 2
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Webb20 sep. 2024 · tf.concat () axis = 0 means concatenating in 1st dim. axis = 1 means concatenating in 2nd dim. axis = n-1 means concatenating in n th dim. ValueError: Shape … Webb15 sep. 2024 · Solution 1 The shape of constant x is (2,), i.e. a one-dimensional array, and you are trying to multiply it with a two-dimensional array w1 of shape (2, 3), which is not …
WebbFanSided - the ultimate collection of fandoms. Follow fansided on Flipboard, to explore their latest magazines and flipped articles. Webbpython: Tensorflow - ValueError: Shape must be rank 1 but is rank 0 for é Thanks for taking the time to learn more. In this video I'll go through your qu...
Webb21 juni 2024 · ValueError: Shape must be rank 1 but is rank 0 for 'ROIAlign/Crop' (op: 'CropAndResize') with input shapes: [2,360,475,3], [1,4], [], [2] 13,883 [] means that it was … Webb22 dec. 2024 · Hi, Thanks for answering my question here! I'm building a two layered Bi-lstm with CRF for NER model, but I got the issues like this: I'm not sure what is going on …
Webb18 feb. 2024 · You can use tf.expand_dims(a,0) and tf.expand_dims(b,1) to have rank 2 shapes. Try the following code: a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], name='a') b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], name='b') c = tf.matmul(tf.expand_dims(a,0), …
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