Shape 2 must have rank 0
Webb10 dec. 2024 · ValueError: Shape must be rank 0 but is rank 1 for 'cond_11/Switch' (op: 'Switch') with input shapes: [1], [1]. tensorflow; Share. Improve this question. Follow edited Dec 10, 2024 at 14:37. Mathews Sunny. 1,786 7 7 … Webb23 feb. 2024 · It is expecting inputs (rank 2) but you are passing l abels (rank 1) So change the order of arguments according to definition of the function. In tf 0.12.0: Definition : tf.nn.sampled_softmax_loss (weights, biases, inputs, labels, num_sampled, num_classes, num_true=1, sampled_values=None, remove_accidental_hits=True, …
Shape 2 must have rank 0
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Webb28 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. … Webb21 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) tensor = tf.concat([tensor, concat_t], 3) but still breaks at line 420, in exe_concat_layer tensor = tf.concat(3, [tensor, concat_t])
Webb13 sep. 2024 · Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams Webb14 aug. 2016 · ValueError: Shape (?, 50, 512) must have rank 2. #11. Closed. xtr33me opened this issue on Aug 14, 2016 · 2 comments.
Webb27 okt. 2016 · Shape must be rank 0 but is rank 1, parse_single_sequence_example. For the past few days I have been having an issue with serializing data to tfrecord format and then subsequently deserializing it using parse_single_sequence example. I am attempting to retrieve data for use with a fairly standard RNN model, however this is my first … Webb6 juli 2016 · r9.0 code: tensor_shape = tf.reshape(tf.shape(tensor), shape=[2]) indexes = tf.reshape(sparse_tensor.indices, shape=tensor_shape) tf.slice(indexes, one, two) // …
Webb1 Answer. When I encountered this problem it was because my placeholders were the wrong size in my feed dictionary. Also you should know how to run the graph in a session. tf.Session.run (fetches, feed_dict=None) # Note this place holder is for the input data feed-dict definition input_placeholder = tf.placeholder (tf.float32, shape= (batch ...
Webb21 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) … little angel baby john peek a booWebb1 jan. 2024 · As I commented, you can't concatenate on the 1st axis because your tensors are rank 1 (they have only an axis 0, or rather they only have 1 dimension). If they were … little angel baby john toysWebb13 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 little angel baby showerWebb16 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. little angel baby john sicklittle angel baby monkey superheroWebb16 maj 2024 · tensorflow错误 1.队列输入数据错误 错误语句: enq_many = Q.enqueue_many([0.1, 0.2, 0.3]) 出现的错误类型: ValueError: Shape must have rank at … little angel beachWebbI'm new to tensorflow and I'm trying to update some code for a bidirectional LSTM from an old version of tensorflow to the newest (1.0), but I get this error: Shape must be rank 2 … little angel babywear