ref(),sc,sd to replace 's1','s2'. I used a shared tensor/variable (both tried): sa. Stack Exchange Network Stack Exchange network consists of 183 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge. experimental_ref() as the key. System information Have I written custom code (as opposed to using example directory): OS Platform and Distribution (e. From the Python glossary: An object is hashable if it has a hash value which never changes during its lifetime (it needs a __hash__ () method), and can be compared to other objects (it needs an __eq__ () or __cmp__ () method). The variance we are looking for applies to the experiment where you would roll the dice over and over again, each time count the number of heads, and compute the variance over the number of heads. TypeError: Tensor is unhashable if Tensor equality is enabled. 7 Code to reproduce: import. Additionally, tensors/variables are no longer hashable, but you can get hashable object references to them via var. util. input_spec = tf. Sorted by: 1. 7)Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerlyThe following code is basically from the documentation, slightly converted to run in tensorflow 2. 4. TypeError: Tensor is unhashable if Tensor equality is enabled. pyplot as plt import numpy as np import tensorflow as tf import tensorflow_probability as tfp np. Information on versions of different modules: Keras 2. David Parks. ref() as the key. data. Tensor, y: torch. placeholder() is tf. Stack Overflow. For a network output it is computed based on the layer parameters and the inputs to the layer. ops. 7. Use prop default value instead. in the dict of outputs. Instead, use tensor. 1 gpu, its solve ypur problem , imageAi is. Tensor is unhashable. details. fromkeys (word_index. 01) gpflow. fit (X, y, epochs=5) # this will break with TensorFlow 2. For Functional Models, these Tensors are used to build the Model with a static graph, but in eager mode the Model is then executed with a tf. Then, when you need to use it, convert it back to a dict. google-ml-butler bot assigned sushreebarsa Sep 3, 2023. Instead, use tensor. 0-rc0 with tfp 0. constant(5) y = tf. Tensor part said simliar thing: use tensor/variable. Provide the exact sequence of commands / steps that you executed before running into the problem "Tensor is unhashable if Tensor equality is enabled. keras. experimental_ref() as the key. layers. in Keras Surgeon. float32. Instead, use tensor. Q&A for work. My code is split into two files called model. reshape(tensor, shape) takes a list of integers that represent the desired output shape. import tensorflow as tf import numpy as np EPS=1e-8 def gaussian_likelihood(x, mu, log. read_csv. `这是tensorflow版本的问题，tensorflow改版后，从V1到V2，很多的东西变化了，导致用V1写的代码，在V2的框架下会报错。 这个报错的解决. The Python TypeError: Unhashable Type: 'List' can be fixed by casting a list to a tuple before using it as a key in a dictionary: my_dict = { 1: 'Bob', tuple ( [ 2, 3, 4 ]): 'names'} print (my_dict) In the example above, the tuple () function is used to convert the list to a tuple. Instead, use tensor. e. loc [:, obj_nominal] x = x. shape. compat allows you to write code that works both in TensorFlow 1. Instead, use tensor. python. The problem is that you are directly passing the input and output arrays (and not the input and output tensors) to Model class when constructing your model: model = Model (inputs= [train_x_1,train_x_2], outputs=train_y_class) Instead, you need to pass the corresponding input and output tensors like this: model = Model (inputs= [first_input. Now I wanted to solve DL Problems with DL Python Network Creator Node in KNIME instead of using Keras nodes. "TypeError: Tensor is unhashable. This is correct for the second state part ([2, 1] broadcasts with [2, 10]) but not for the first -- you end up with a [2, 2] somewhere,. 3 Train the head branches Passing layers="heads" freezes all layers except the head layers. Sample from that distribution and use that for the decoder. The text was updated successfully, but these errors were encountered: Tensor is unhashable. tensorflow; transfer-learning; tensorflow-hub; google-colaboratory; Share. You now know how to find out the cause of the error and how to solve it potentially. 4. find () # this is cursor object #iterate over to get a list of dicts details_dicts = [doc for doc in details] #serialize to json string details. Instead, use tensor. The text was updated successfully, but these errors were encountered: TypeError: Tensor is unhashable. nn. constant([1, 2, 3]) vals_tensor = tf. Instead, use tensor. TensorFlow version (use command below): 2. If a TensorFlow operation has both CPU and GPU implementations, by default, the GPU device is prioritized when the operation is assigned. train. experimental_ref() as the key. 13. import torch import torchvision from torchviz import make_dot. . 1. csv - file from here ): Args: input_data (Tensor, float, int, bool, tuple, list, numpy. ref ()] = 1 b = tf. 相反，我们. TensorFlow supports eager execution and graph execution. ref ()] = 1 b = tf. If a tensor size or a parameter is modified in the network, the shape of all dependent tensors will be recomputed. from transformers impor. Instead, use tensor. Closed hassanshallal opened this issue Oct 15, 2019 · 2 comments Closed TypeError: Variable is unhashable if Tensor equality is enabled. ) with tf. For a 1-D tensor this has no effect, as a transposed vector is simply the same vector. randn(5,5). a = tf. experimental_ref() as the key. Instead, use tensor. Instead, use tensor. Checkpoint. placeholder(tf. 报错：TypeError: Tensor is unhashable if Tensor equality is enabled. 1. A VAE, which has been trained with rabbit and geese-images is able to generate new rabbit- and geese images. import tensorflow as tf dic = {} a = tf. model script: Replace tf. Instead, use tensor. `这是tensorflow版本的问题，tensorflow改版后，从V1到V2，很多的东西变化了，导致用V1写的代码，在V2的框架下会报错。这个报错的解决办法： import tensorflow as tf tf. Learn more about Teams TypeError: Tensors are unhashable. 0? The text was updated successfully, but these errors were encountered: All reactions. framework. 使用Eager执行或者用@tf. is there any way to do one_hot encoding while using tf. TFP and TF2. Instead, use tensor. _dynamo. a-z-e-r. (Can not convert a ndarray into a Tensor or Operation. TensorFlow check if placeholder. ref(),sc,sd to replace 's1','s2'. Then I get its hash value via hash(T), say it is 140676925984200, then assign it to another variable, say c. The text was updated successfully, but these errors were encountered: All reactions. @chuanli11 Thanks for the issue!. py”, line 705, in hash raise TypeError("Tensor is unhashable if Tensor equality is enabled. Tensor is unhashable. to_tensor (slice_index = None, shape = None, opt_shard_group = None) [source] Return init_data(). TypeError: Tensor is unhashable. placeholder(tf. models. fit method. experimental_ref() as the key. fit (tf. as_list (). Instead, use tensor. Tensor is unhashable. How can I fix TypeError: Tensor is unhashable. 0. dtype (:class:`mindspore. Instead, use tensor. InvalidArgumentError: Input to reshape is a tensor with 80 values, but the requested shape has 160 [Op:Reshape] As far I know we can add as many layers as I want in the decoder model before its output layer --as it is done a convolutional VAEs, am I right?The problem occurs here: y: tf. 0. Instead, use tensor. backend as K import tensorflow as tf tf. DataFrame] or [torch. ndarray 错误Tensorflow - I try to create a new tensor based on a dictionary that maps 1 to 1 the values from a tensor to some other value (the example below is trivial on When mapping tensor values with dictionary i get TypeError: Tensor is unhashable. ref() as the key. Please try the code below: import tensorflow. Meta tensors intentionally don’t work with fake tensor (which is what PT2 will do. split(" "). Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerlyOverview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue; adjust_jpeg_quality; adjust_saturation; central_crop; combined_non_max_suppressionI am getting this error on line number 21(model. InputSpec(ndim=4) Now, if you try to call the layer on an input that isn't rank 4 (for instance, an input of shape (2,), it will raise a nicely-formatted error:if input_tensor in self. Instead, use tensor. print (dic [b. A slice is a subset of a sequence such as a string, a list , or a tuple . pls use. experimental_ref() as the key. , scale=1. This is when it gets wrong, because you can no longer feed the value to feed_dict. 0 报错的地方在遍历tensor并利用id2tag进行还原标签处；怀疑是因为tensor不可以使用下标去遍历的原因，所. numpy() I get TypeError: Tensor is unhashable. run(one_hot_matrix1) and it should work now. tensorflow中if判断相等 (使用==出错using a `tf. While values can be of any data type, from lists to strings, only hashable objects are acceptable as keys. For example, tf. Module object which takes as input a tensor (or list of tensors) of shape data, and returns a single dimensional output. "Tensor is unhashable" and "too many values to unpack" with transformers #41204. testing’ My Code inside DL Python Network Creator: import tensorflow as tf inputs. compat. _dynamo as dynamo def myradius(x: torch. matmul. dtype (:class:`mindspore. cast(K. As such, you can set, in __init__ (): self. NN(input) is a neural network mu, sigma =. ref() as the key . ref() as the key . Tensor is unhashable. testing import network ModuleNotFoundError: No module named ‘pandas. quick fix to make it work is. Learn how to use DeepExplainer, a method for explaining deep learning models based on SHAP values, with a simple MNIST example. To see the problem, here is code to mock up inputs and call for the result: import tensorflow_probability as tfp tfd = tfp. Traceback; Output of conda list; Output of conda info; Traceback Saved searches Use saved searches to filter your results more quickly raise TypeError("Tensor is unhashable if Tensor equality is enabled. With Model. alexarnimueller commented Oct 15, 2020. constant(1. import os from math import inf import torch from torch import tensor, device import torch. mcmc. experimental_ref() as the key. The gradients are all None. 4 seconds Please help and thank you very much in advance. ref() as the key. TensorFlow 2. x tensorflow keras anacondaTensorflow MCMC doesn't evolve chain states. v1 libraries, you should not need this, (or feed_dict or Session). Follow edited Oct 15, 2018 at 17:59. Copy link Author. In general anything I tried didn't work and I don't know how I can use lbfgs in tensorflow 2. ref() as the key" I did a slight change to a public kaggle kernel I defined a function which checks whether certain valueThis is a nice example of the universal rules I have been talking about in my answer. x, which is for graph mode, in TensorFlow 2. GitHub issue #4638 is tracking the implementation of NumPy-style "advanced" indexing. random. )' I have met the same problem with you. keras. In general, if the probability distribution of one or multiple random variable (s. python. After that I just tried to use this working Kaggle notebook (it's working because it has output genarated on the Kaggle side, train. 报错：TypeError: Tensor is unhashable if Tensor equality is enabled. Instead, use tensor. Instead, use tensor. experimental. 8. So, DataCollatorForWholeWordMask has a few deisgn flaws (it only works for BERT for instance) and fixing it is not directly doable (basically what it tries to do should be done at the tokenization level). ref() as the key. The text was updated successfully, but these errors were encountered: All reactions. . raise TypeError("Tensor is unhashable if Tensor equality is enabled. _model_inputs and input_tensor not in self. model. TypeError: Tensor is unhashable if Tensor equality is enabled. With Model. Instead, use tensor. ops import disable_eager_execution disable_eager_execution() tf. one_hot (classes_to_indices [label],depth=14) train_ds = train_ds. name is meaningless when eager execution is enabled. Q&A for work. Instead, use tensor. Hashable objects which compare equal must have the same hash value. Tensorflow comes with the tfp. is a perfectly valid target log prob function. Instead, use tensor. ndarray' when trying to create scatter plot from dataset 0 TypeError: unhashable type: 'numpy. dense (net, units=code_size * 2 * code_size, activation=None) means, stds = tf. A list doesn't use a hash for indexing, so it isn't restricted to hashable items. ` Any clue? Thanks Giovanni. This feature is not currently implemented in TensorFlow. An object is hashable if it has a hash value which never changes during its lifetime (it needs a hash () method), and can be compared to other objects (it needs an eq () method). split (net, 2, axis=-1) means = tf. ndarray) Hot Network QuestionsA list is unhashable because its contents can change over its lifetime. "TypeError: Tensor is unhashable. run(). # inputs. #14. experimental_ref() as the key. The final loss is the average of 30 targets. experimental_ref() as the key. Improve this question. Learn more about TeamsThe tf. tech at no extra cost to you. ref()' as suggested, and to define it without any arguments tf. 12. run of inference section. x = tf. To understand this better, let’s look at an example. 0 Tensorflow Prune Layer Not Supported. columns. Good day! I was using GPFlow regression to model function on a sphere (spherical distance between point and North Pole). ndarray 错误Stack Overflow | The World’s Largest Online Community for DevelopersStack Overflow | The World’s Largest Online Community for DevelopersInstead, use tensor. If we inspect a single element of the X_train_credit_balance as. Normal(loc =0. v1. TypeError: Tensor is unhashable if Tensor equality is enabled. 0. 0-rc1 on python 3. I'm trying to implement a mixture density network that takes 2D Images and converts them to a density estimating a one dimensional output, with a regularizing distribution on the output distribution to penalize for straying to much from a prior distribution. expand_dims (X, axis=-1), y, epochs=5) It worked for me. in Keras Surgeon. I tried using tensors as a dictionary key and i get the following error: Tensor is unhashable if Tensor equality is enabled. framework. ref() to fetch values. Instead, use tensor. "TypeError: Tensor is unhashable if Tensor equality is enabled. experimental_ref() as the key. The argument is used to define the data type of the output tensor. txt. is there any way to do one_hot encoding while using tf. Note for reproducibility: This is how I define a simple distribution and a bijector: import tensorflow_probability as tfp import tensorflow as tf tfb = tfp. TypeError: unhashable type: ‘slice’ A slice is a subset of a sequence such as a string, a list, or a tuple. If unhashable data is used where hashable data is required the unhashable type error is raised by the Python interpreter. Instead, use tensor. TypeError: Tensor is unhashable. run () to a. experimental_ref() as the key. For a network input the shape is assigned by the application. Instead, use tensor. tensor_dict = {x:'five', y:'ten'} Traceback (most recent call last): TypeError:Tensor is unhashable. bijectors tfd = tfp. get_initial_state (x) returns a list of tensor, where cell could be any RNN cell, including GRUCell, whose state is a single tensor. optim. For your specific problem however, there is. Session`. Tensor, r: float,. 0. training. System information Test on Google Colab with GPU TF 2. it was type tensorflow. log () Comment out an if statement inside the compile () method. 报错：TypeError: Tensor is unhashable if Tensor equality is enabled. Bhack June 22, 2021, 9:21am #4. float64", but what I defined by tf. map (to_one_hot) calsses_to_indices is a simple python dictionary containing { label_name: indices } this code is showing an error:-. Detected Cat Faces in 5. dtype`): Input data should be None, bool or numeric type defined in `mindspore. Instead, use tensor. Note: Indexing starts with 0. raise TypeError("Tensor is unhashable if Tensor equality is enabled. keras. Now I wanted to solve DL Problems with DL Python Network Creator Node in KNIME instead of using Keras nodes. I also tried this but get the following error:" TypeError: Tensor is unhashable if Tensor equality is enabled. Why Is This Happening? I ran this in Colab GPU with: !pip install tf-nightly --quiet The cell nd. layer must be a layer in the model, i. I a putting these lines on the top but still same issue import tensorflow as tf from tensorflow. Connect and share knowledge within a single location that is structured and easy to search. py, both under the folder. To see the problem, here is code to mock up inputs and call for the result: import tensorflow_probability as tfp tfd = tfp. "TypeError: Tensor is. `这是tensorflow版本的问题，tensorflow改版后，从V1到V2，很多的东西变化了，导致用V1写的代码，在V2的框架下会报错。这个报错的解决办法： import tensorflow as tf tf. Here is what I have tried so far: import tensorflow as tf # Create data1 and save data1 = tf. keras. Tensor. experimental_ref() as the key. Asking for help, clarification, or responding to other answers. "714 "Instead, use tensor. whitespaces in columns names (maybe in data also) Solutions are strip whitespaces in column names:. The text was updated successfully, but these errors were encountered: All reactions. keras. models import Model Disclosure: Some of the links and banners on this page may be affiliate links, which can provide compensation to Codefather. Closed konstantin-doncov opened this issue Jul 8, 2020 · 12 comments Closed "Tensor is unhashable" and "too many values to unpack" with transformers #41204. Instead, use tensor . 0. if input_tensor in self. columns = reviews_new. I want to use the value of a tensor as key of a dictionary, which means same mapping for tensors of same value. I have added below. Tensor() new() received an invalid combination of arguments - got (list, dtype=torch. ValueError: You cannot build your model by calling `build` if your layers do not support float type inputs. framework. When eps is None and input < 0 or input > 1, the function will yields NaN. In addition, it provides useful functionality for analyzing graph structures, and provides basic PyTorch tensor functionalities. ref as the key. ref() as the key. 0]*num_classes kernel = gpflow. ref() I'm getting "TypeError: Tensor is unhashable. I'm trying to fine tune transformers with my own dataset in the csv file. Instead, use tensor. In sample code and OUTPUT below I am getting error " Tensor is unhashable if Tensor equality is enabled. layers. experimental_ref() as the key. cell. I want to convert my string labels to integer labels using python dictionary calsses_to_indices but we cannot use tensor data in the python dictionary. sbmxc opened this issue Mar 28, 2020 · 1 comment Comments. 6, tensorflow==2. 1]*num_classes variances = [1. TypeError: Tensor is unhashable if Tensor equality is enabled. This is because dictionaries can have custom key values. Below is the code. split (means,. Connect and share knowledge within a single location that is structured and easy to search. Failed to convert a NumPy array to a Tensor (Unsupported object type numpy. experimental_ref() as the key. ref() as the key. Tensor has the following properties: a single data type (float32, int32, or string, for example) a shape. This is easy to deal with. TypeError: Tensor is unhashable if Tensor equality is enabled. Understanding how to bring Pytorch code into the fastai space with minimal headache. ref () as the key. Instead, use tensor. To be TF2 compatible, your code must be compatible with the full set of TF2 behaviors. ravikyram self-assigned this Dec 19, 2019. sample() returns an error: TypeError: Tensor is unhashable if Tensor equality is enabled. disable_v2_behaviorThanks for contributing an answer to Data Science Stack Exchange! Please be sure to answer the question. 或 一个tensor tuple. Checkpoint(). MackRCNN in google colab . constant(10) z = tf. I'm doing a few basic calculations with different models, the most basic model converges without problem and gives good results from the MCMC calculation. str. Instead, use tensor. 1 and tensorflow-probability 0. experimental. TypeError: Tensor is unhashable. Yes, and as per the source code, KerasTensor is in no way related to tf. Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerlyTensor is unhashable. Why Is This Happening? I ran this in Colab GPU with: !pip install tf-nightly --quiet The cell nd. experimental_ref(Tensor is unhashable if Tensor equality is enabled. TensorFlow Forum Convert a tensor string label to one hot encoding. Here is the fix in the code: # Fit the model # model. TypeError: unhashable type: 'numpy. Instead, use tensor. Traceback; Output of conda list; Output of conda info; TracebackSaved searches Use saved searches to filter your results more quicklyIs the first time I see someone passing the Keras execution mode to tf. ndarray' Tensorflow. input + [deep_model.