The TFP. TypeError: Tensor is unhashable if Tensor equality is enabled. import tensorflow as tf import numpy as np data = np. layers import Input, Reshape, Dropout, Dense, Flatten, BatchNormalization, Activation, ZeroPadding2D from. StaticHashTable( tf. experimental_ref() as the key. 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. 0. Calling this function requires TF 1. "TypeError: Tensor is unhashable if Tensor equality is enabled. random_shuffle () with tf. . 4. disable_eager_execution() Then I ran into an. I got around it by first disabling eager execution tf. Instead, use tensor. import tensorflow as tf import tensorflow_probability as tfp tfk = tf. Hot Network QuestionsAn eager Tensor was given to the function due to my previous operations. {"payload":{"allShortcutsEnabled":false,"fileTree":{"tensorflow/python/framework":{"items":[{"name":"testdata","path":"tensorflow/python/framework/testdata. ndarray' when trying to create scatter plot from dataset 0 TypeError: unhashable type: 'numpy. 7. Instead, use tensor. My code is. Instead, use tensor. Yes, and as per the source code, KerasTensor is in no way related to tf. Q&A for work. ravikyram self-assigned this Dec 19, 2019. torch. x and 2 and should solve any errors based on the version import. ravikyram. Instead, use tensor. None worked, indicating that the problem is indeed inside the. What I do is simply creating the initializer for the model inside a function as follows: def generate_image_feature_map_with_resnet(self,Stack Overflow | The World’s Largest Online Community for Developers具体的报错信息如下：Tensor is unhashable if Tensor equality is enabled. float32) The issue is that in your code, you use again the same name x and y for two variables: for x in letter [0] [0]: for y in x: result. I would like to use a python set to check if I have seen a given tensor before, as a termination condition. For example, if you need to reduce_sum over some part of the state (say for a multivariate distribution), be sure to be explicit. ref() Hot Network Questions From where in the UK is the word refs, as used in Rivers of London? Align from normal How long would it take humans to notice a civilization on Venus? Avoiding time travel or causality stuff. py of, then imported in layers. python. input is probably not a list, so that you are passing a new Add tensor instead of a list of inputs. MarcelW March 2, 2020, 9:58pm 2 Hi @Gregorio96, This problem has already been answered in this forum post: ERROR Keras Network Learner 0:14 Tensor is. 04): Ubuntu 16. Closed konstantin-doncov opened this issue Jul 8, 2020 · 12 comments Closed "Tensor is unhashable" and "too many values to unpack" with transformers #41204. 9/dist. TypeError: Tensor is unhashable if Tensor equality is enabled. In eager execution (or within tf. But the execution gives me the error: from pandas. fit. (simplecv) PS C:\dev\lacv\yolov3\yolov3ct> here is a code snippet although I have posted the full file on gist TypeError: Tensor is unhashable if Tensor equality is enabled. . After that I just tried to use this working Kaggle notebook (it's working because it has output genarated on the Kaggle side, train. TypeError: Tensor is unhashable if Tensor equality is enabled. numpy ()) 1. TypeError: unhashable type: 'numpy. . constant (0) dic [a. layer must be a layer in the model, i. TypeError: Tensor is unhashable if Tensor equality is enabled. EagerTensor . For a 1-D tensor this has no effect, as a transposed vector is simply the same vector. Given a tensor of integer or floating-point values, this operation returns a tensor of the same type, where each element contains the absolute value of the corresponding element in the input. keras tfkl = tf. constant(5) y = tf. Additionally, tensors/variables are no longer hashable, but you can get hashable object references to them via var. Description I want to convert swin transformer model with dynamic shape to tensorrt. ref() as the key. import tensorflow as tf import numpy as np EPS=1e-8 def gaussian_likelihood(x, mu, log. ndarray' when attempting to make plot using numpyOverview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerlyTensorflow 2. The text was updated successfully, but these errors were encountered: All reactions. It seems like the following solved the problem: By first changing the datatype of every column to string, I remove the issue. Again to serialise do this: import json from bson import json_util. framework. Note that nhwc is a tensor and its slice will not have the value when feed as crop_size, and it cause the resize shape to be [None, None, None, 3], rather than [None, 8, 4, 3]. Note 1 : calling the pipeline with input model (input) changes the model and we shouldn't change a cached value so we need to copy the model and run it on the copy. _model_inputs and input_tensor not in self. Thus tensors can no longer be directly used in sets or as a key in: a dictionary. 4 seconds Please help and thank you very much in advance. experimental_ref() as the key. 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. Tensorflow – Input tensors to a Model must come from `tf. Then you are using this array as a key in the dictionary for the second run, which obviously doesn't work. I just slightly changed the line to one_hot = sess. randn(5,5). data API ? Bhack June 22, 2021, 1:32am #2. I think the official recommendation from Tensorflow is to use tf. The following is a normalizing flow model of the log conditional density of x_ given c_. keras. all() or . experimental_ref() as the key" when running sess. 0 executes eagerly (like Python normally does) and in 2. Instead, here's how I'd recommend. v1. Instead, use tensor. keras. Tensorflow probability: ValueError: Tensor's shape (2, 2) is not compatible with supplied shape (2,) 0 TypeError: Failed to convert object of type <class 'list'> to Tensor. experimental_ref() as the key. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "", line 1, in Part of the exercise is the following: Verify that self-dual and anti-self-dual tensors are irreducible representations of (real) dimension three. 2. fx as fx import functools import torch. The model is an nn. I tried to do so using the code and got the following error: # convert to numpy array losses = np. is there any way to do one_hot encoding while using tf. shape. Shubham_Kumar June 22, 2021, 1:28am #1. ref(),sb. ref as the key. Tensor is unhashable. TensorFlow 2. TypeError: Tensor is unhashable if Tensor equality is enabled. 0. reviews_new. v1. I'm fairly new to tensorflow and MCMC in general. 3 TensorFlow installed from (source or binary): conda binary TensorFlow ver. Instead, use tensor. inputs can't be used in losses, metrics, etc. Instead, use tensor. ) When I print the distance tensor, before and after the session. dtype`. For business purposes, this is quite problematic, given that it is expected that a prediction presents a stable output. import torch import torchvision from torchviz import make_dot. 使用Eager执行或者用@tf. Tensor, r: float,. srivarnajanney commented Feb 27, 2020. ref() as the key. data. I also tried this but get the following error:" TypeError: Tensor is unhashable if Tensor equality is enabled. ref () as the key. `这是 tensorflow 版本的问题，. TypeError: Variable is unhashable if Tensor equality is enabled. Tahnks. . Instead, use tensor. 解决方案：. str. With Model. detection. ref() as the key. Sorted by: 2. 1,keras=2. x tensorflow keras anacondaTensorflow MCMC doesn't evolve chain states. Closed. experimental_ref() as the key. python. Reload to refresh your session. The issue is with the shapes of your step sizes. "714 "Instead, use tensor. Instead, use tensor. google-ml. py, both under the folder. as_list (). fit. Tensor is unhashable. KeyValueTensorInitializer(keys_tensor, vals_tensor), default_value=-5) print(table. How can I fix TypeError: Tensor is unhashable. ref()' as suggested, and to define it without any arguments tf. transpose (* axes) [source] Return a view of the tensor with axes transposed. {"payload":{"allShortcutsEnabled":false,"fileTree":{"tensorflow/python/framework":{"items":[{"name":"experimental","path":"tensorflow/python/framework/experimental. Can you. #35127 ClosedI tried another two approaches as well: to define the checkpoint using a list of 'tensor. Fundamentally, TF1. Hashable objects are objects with a. ref() I'm getting "TypeError: Tensor is unhashable. Saved searches Use saved searches to filter your results more quicklyThe reason you're getting the unhashable type: 'list' exception is because k = list[0:j] sets k to be a "slice" of the list, which is logically another, often shorter, list. Instead, use tensor. Here is my code: model = gpflow. embedding_lookup(W, y). google-ml-butler bot added the type:support Support issues label Sep 3, 2023. Instead, use tensor. python. compat. Therefore, you don't need to feed them again when calling sess. The text was updated successfully, but these errors were encountered: All reactions. experimental_ref() as the key. Variable(1. #14. 0rc0 during training matterport/Mask_RCNN#1889. ops import disable_eager_execution disable_eager_execution() tf. ref () as the key. from keras. input] , wide. randn (5,5). constant (0) dic [a. 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. Viewed 10k times. npz") trng_input = np. Instead, use tensor. I solved this error. run, x was no longer a tensor placeholder as expected but rather a list of tensors after transformation in the graph. Instead, use tensor . keras. Posted on Monday, March 16, 2020 by admin. Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand ; Advertising Reach developers & technologists worldwide; About the companyStack Overflow | The World’s Largest Online Community for DevelopersWhenever I am trying to run cdf() for the MultivariateNormalDiag() object from the tensorflow's Distribution module, I am getting an error: Not implemented. torch. ") 715 else: TypeError: Tensor is unhashable if Tensor equality is enabled. Hi, I am getting the following error: ERROR Keras Network Learner 0:14 Tensor is unhashable if Tensor equality is enabled. conv2. When eps is None and input < 0 or input > 1, the function will yields NaN. Is there ever any reason a tendsorflow distribution object could return values greater than 1 for probabilities? This is the basic structure of my code. 15 or newer. Can you. And the reason is x_train in my code is "np. 0 incompatibility After using TFP with TF2. The argument is used to define the data type of the output tensor. . 7. experimental_ref() as the key. float64. 或 一个tensor tuple. Tensor is unhashable. after the T it gives me the "Tensor is unhashable if Tensor equality is enabled. If it is None, the data type of the output tensor will be as same as. variance, False). 6. Connect and share knowledge within a single location that is structured and easy to search. 0. randn (5,5) c = hash (T) # i. compat. I provided my initial distribution. compat. TensorFlow version (use command below): 2. in the dict of outputs. If unhashable data is used where hashable data is required the unhashable type error is raised by the Python interpreter. ref () as the key. I'm using tensorflow-gpu 2. _model_inputs and input_tensor not in self. Instead, use tensor. reverse_word_ind = {} reverse_word_ind = dict. No License, Build not available. layers. whitespaces in columns names (maybe in data also) Solutions are strip whitespaces in column names:. Learn more about Teamsx = tf. #14. 报错地方的代码如下，使用的tensorflow版本为2. data API ? Bhack June 22, 2021, 1:32am #2. The basic idea is, if the target has only one uniqu. `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. tensor is hashable, while list is not hashable? suppose I have a tensor T = torch. registry import lookup_backend from torch. (Tensorflow) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy. tensor]Stack Overflow | The World’s Largest Online Community for Developersshap问题 试了好多方法，弄了一天， 总是出现The Session graph is empty. For a. Apr 27, 2020 at 0:18. 7 Code to reproduce: import. python. 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. _model_inputs and input_tensor not in self. Posting here for someone who may benefit in the future. py”, line 705, in hash raise TypeError("Tensor is unhashable if Tensor equality is enabled. compat. While your case might look different on the surface, it is still a matter of name shadowing, just not on a global level. Instead, use tensor. Shubham_Kumar June 22, 2021, 1:28am #1. v1. A tf. , scale=1. Connect and share knowledge within a single location that is structured and easy to search. Here is the fix in the code: # Fit the model # model. array (losses_all) # ERROR MESSAGE RuntimeError: Can't call numpy () on Tensor that requires grad. special. # 数据转换 label = classes. Instead, use tensor. log () with tf. My data is input in a 5x16 matrix with the first four columns being coordinates for the rank 4 2x2x2x2 tensor and the last column being a value for that element. Follow asked Nov. layer must be a layer in the model, i. Closed hassanshallal opened this issue Oct 15, 2019 · 2 comments Closed TypeError: Variable is unhashable if Tensor equality is enabled. Instead, you should use other names like: for ix in letter [0] [0]: for iy in ix: result. Tensor is unhashable if Tensor equality is enabled. ref() I'm getting "TypeError: Tensor is unhashable. Instead, use tensor. _model_inputs and input_tensor not in self. float32. 001)) from fastai. Instead, use tensor. dtype (:class:`mindspore. layers. cell. ravikyram self-assigned this Dec 19, 2019. numpy () instead. But the execution gives me the error: from pandas. inputs are symbolic Tensors. 还有raise TypeError("Tensor is unhashable. 相反，我们. TensorFlow Forum Convert a tensor string label to one hot encoding. ExtensionType base class works. experimental_ref() as the key. Stack Overflow | The World’s Largest Online Community for DevelopersA data object describing a homogeneous graph. any() in general when you're doing it). I'm using Python3. x, which is for graph mode, in TensorFlow 2. Previously, I tried with static input shape and I could convert the model correctly but, with dynamic shape I’m getting. Saved searches Use saved searches to filter your results more quicklyyaoliu0803 commented Sep 1, 2022 •edited. items ()) >>> unhashable = dict (hashable) >>> unhashable {'a': 'b', 'b': 'a'} Note that dictionary key order is undefined anyway, so. config import torch. loc [:, obj_nominal] x = x. Instead, use tensor. And I tried to write a loss function using spearman correlation and binary crossentropy. Instead, use tensor. Returns a new tensor with the logit of the elements of input . placeholder() is tf. ndarray' I've tried modifying the batch size and number of steps in model. run of inference section. tensorflow-bot assigned ravikyram on Mar 10, 2020. 🐛 Describe the bug I am trying to optimize a code that calls the radius function from pytorch_cluster: import torch from torch_cluster import radius import torch. models. Instead, use tensor. Given a tensor x of complex numbers, this operation returns a tensor of type float32 or float64 that is the absolute value of each element in x. backends. If it is None, the data type of the output tensor will be as same as. For a network input the shape is assigned by the application. Instead, use tensor. Plotly: How to style a plotly figure so that it doesn't display gaps for missing dates? Python: How do I iterate through the alphabet? Python: How can I use relative imports in Python to import a function in another directoryNow the best practice I found was TypeError: unhashable type: 'list' when using built-in set function which didn't help much. Given a tensor of integer or floating-point values, this operation returns a tensor of the same type, where each element contains the absolute value of the corresponding element in the input. 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. experimental. If the input is a tuple, the returned shap values will be for the input of the layer argument. ndarray'分别错误。 在本文中，我们将学习如何避免 NumPy 数组出现此错误。 修复 Python 中的 unhashable type numpy. They are not indexed from zero. 12 and the TensorFlow version is 2. compat allows you to write code that works both in TensorFlow 1. Hashable objects which compare equal must have the same hash value. range(5) # `indices` is a 5 x. mode. Assuming that y is a numpy. if input_tensor in self. mcmc. in Keras Surgeon. Closed TheGlobalist opened this issue Feb 9, 2020 · 10 comments ClosedI add my custom metrics the code are as follows: def get_accu1(args): y_true, y_pred, mask = args y_true = K. Given a tensor x of complex numbers, this operation returns a tensor of type float32 or float64 that is the absolute value of each element in x. There are two issues that are causing problems here: The first issue is that the Session. Stack Overflow | The World’s Largest Online Community for Developers🐛 Describe the bug I am trying to optimize a code that calls the radius function from pytorch_cluster: import torch from torch_cluster import radius import torch. Here is the error: NotImplementedError: `TypeError: Tensor is unhashable. ref() as the key. Tensor part said simliar thing: use tensor/variable. Codefather. 3. ) In principle they actually should work fine but real world user code doesn’t actually need to optimize code computing on meta tensors, and when we were working on fake tensor it was usually a bug to try to fakeify a meta tensor, soooo yeah. ref () as the key. list is unhashable type, which means it cannot be used as a key. Then, when you need to use it, convert it back to a dict. is a perfectly valid target log prob function. disable_eager_execution () 1. DataFrame] or [torch. I don't have any problem when I'm using. #388. one_hot (classes_to_indices [label],depth=14) train_ds = train_ds. Instead, use tensor. TypeError: Tensor is unhashable if Tensor equality is enabled. experimental_ref() as the key. Tensor 'keras_learning_phase:0' shape=<unknown> dtype=bool> type tensor to be precise). System information Have I written custom code (as opposed to using example directory): OS Platform and Distribution (e. . fit,. Follow. detach (). . The error is complaining specifically about trying to use a tensor as a dict key, but in general you cannot use sessions in eager mode. 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. The reason is that Tensors are not hashable (meaning that they don't have an implementation of the __hash__ method). So, I found an item in the docs which shows a basic usage example. 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. StaticHashTable : keys_tensor = tf. This is because dictionaries can have custom key values. Instead, use tensor. It does not hold the values of that operation's output, but instead provides a means of computing those values in a TensorFlow `tf. With Model. 4. errors_impl. 报错：TypeError: Tensor is unhashable if Tensor equality is enabled. TypeError: unhashable type: 'numpy. Dataset. 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. to_tensor (slice_index = None, shape = None, opt_shard_group = None) [source] Return init_data(). To be TF2 compatible, your code must be compatible with the full set of TF2 behaviors. fit() function expects an array. Q&A for work. If you try to slice a dictionary as if it were a list, you’ll encounter the “TypeError: unhashable type: ‘slice. 7. Instead, use tensor. 1 gpu, its solve ypur problem , imageAi is. Skip tests until tensorflow. utilities. This does not work instead I had to transform this eager Tensor format values into a list. The error is. Add operations to the graph before calling run().