Shape 2 must have rank 0
Webb28 nov. 2016 · N.B. I couldn't reproduce this problem with the latest version of TensorFlow. I suspect you're using one of the release candidates of TensorFlow 0.10, or an earlier version, because in the released version it is possible to write the following: Webb4 maj 2024 · Python TensorFlow ValueError: Shape must be rank 1 but is rank 0 8 ValueError: Shape must be rank 2 but is rank 1 for 'MatMul' (op: 'MatMul') with input shapes: [2], [2,3]
Shape 2 must have rank 0
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Webb14 aug. 2016 · ValueError: Shape (?, 50, 512) must have rank 2. #11. Closed. xtr33me opened this issue on Aug 14, 2016 · 2 comments. Webb16 maj 2024 · ValueError: Shape (0,) must have rank 2. here's the code: from __future__ import absolute_import from __future__ import division from __future__ import …
a matrix has 2 dimensions, rank 2 and can have a shape like [6, 10], where 6 is the number of rows and 10 the number of columns. a 200x200 colored image (of rank 3) will have a shape [200, 200, 3] For your examples, x [120, :] is possible to write because TensorFlow is not checking yet if 120 is a valid index. Webb13 mars 2024 · valueerror: subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1) 时间:2024-03-13 19:09:56 浏览:3
Webb27 jan. 2024 · I'm getting this exception when running a prediction using a deconv neural network. The rank and shape seem to be the same so I'm not sure what the issue is. Webb16 dec. 2024 · Shape must be rank 0 but is rank 1 for 'cond_1/Switch' (op: 'Switch') with input shapes: [300], [300] python; if-statement; machine-learning; tensorflow; Share. Improve this question. Follow edited Dec 16, 2024 at 17:13. Maxim. 52.1k 27 27 gold badges 151 151 silver badges 207 207 bronze badges.
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WebbWhen I execute the graph I get the following error. TensorShape ( [Dimension (2), Dimension (1), Dimension (32), Dimension (32), Dimension (3)]) must have rank 1. But … shane templeWebb29 apr. 2024 · 2. Why are you doing unstack on the input data?. The input to the RNN should be a tensor of shape [batch_size, max_time, n_input] for time_major == False … shane templeton tipsWebb9 dec. 2024 · So the number 2 in your (10, 2) already decided that the output tensor will be 2-D. The None , like variant sample size, should be handled differently. Following this logic, another problem you may find is the output_shape should be (32, 32) rather than (32,) as the simple fix mentioned above. shane tennihillWebb28 nov. 2016 · As the error says, the shape (?, 12) is not of rank 1. Tensor rank (sometimes referred to as order or degree or n-dimension) is the number of dimensions of the tensor. … shane templeton racingWebb21 apr. 2024 · Hi I am still geting ValueError: Shape (2, 3, 64, 64, 128) must have rank 0 in convnet.py I have changed batch_l = tf.unstack(concat_t, axis=0) concat_t = tf.stack(bs) … shane taylor promotions cagematchWebb25 mars 2024 · ValueError: Shape (6134, 30, 200) must have rank 0 2024-05-16 20:48 每天都要快乐鸭的博客 原因:tensorflow版本不对应 tensorflow2.0以上的版本用法: tf.concat(outputs,1) tensorflow2.0以下的版本用法:tf.concat(1,outputs) shane tedderWebb26 jan. 2024 · raise ValueError("Shape %s must have rank %d" % (self, rank)) ValueError: Shape (128, 4, 10) must have rank 2 The text was updated successfully, but these errors … shane templar cell phone