Shape 2 must have rank 0
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]) Webb29 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 …
Shape 2 must have rank 0
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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 ... Webb14 aug. 2016 · ValueError: Shape (?, 50, 512) must have rank 2. #11. Closed. xtr33me opened this issue on Aug 14, 2016 · 2 comments.
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 … 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.
Webb4 maj 2024 · ValueError: Shape must be rank 2 but is rank 3 for 'MatMul' (op: 'MatMul') with input shapes: [?,5741,20000], [20000,128]. It says that x has the shape of (?,5741,20000). … Webb18 mars 2024 · ValueError: Shape (6134, 30, 200) must have rank 0 2024-05-16 05:48 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) ValueError: Shape must be rank 2 but is rank 1 for ‘MatMul‘ (op: ‘MatMul‘) with input shape s 2024-11-21 19:25
WebbI'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 …
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, … canał plus online na tvWebb10 apr. 2024 · 12K views, 220 likes, 17 loves, 125 comments, 7 shares, Facebook Watch Videos from ZBC News Online: MAIN NEWS 10/04/2024 fisher price laugh \u0026 learn pianoWebb6 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) // … fisher price laugh \u0026 learn my smart purseWebb17 sep. 2024 · ValueError: input tensor must have rank 5 at least (depthwise_conv2d) I am trying to get this repo running. I found this github issue which is not resolved yet and also points at my problem. I am using Tensorflow 1.13.1 (also tried with 1.14) and python 3. "input tensor must have rank %d at least" % (expected_input_rank)) ValueError: input ... canal plus online tenisWebb28 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. … fisher price laugh \u0026 learn puppy remoteWebb13 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 canal plus online wtaa 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. canal plus online telewizja