run () call only accepts a small number of types as the keys of the feed_dict. Please try the code below: import tensorflow. tensorflow; transfer-learning; tensorflow-hub; google-colaboratory; Share. dtype (:class:`mindspore. e. 3. Learn more about Teamsx = tf. 12 and the TensorFlow version is 2. sample() returns an error: TypeError: Tensor is unhashable if Tensor equality is enabled. TypeError: unhashable type: 'ListWrapper' TensorFlow 2. . one_hot (classes_to_indices [label],depth=14) train_ds = train_ds. db. #35127 Closed I tried another two approaches as well: to define the checkpoint using a list of 'tensor. If so, the elements of the ndarray object are converted to a set object. Share. _dynamo. TypeError: Tensor is unhashable. Instead, use tensor. The name gives away the purpose of a slice: it is “a slice” of a sequence. 1 gpu, its solve ypur problem , imageAi is. 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. TypeError: Tensor is unhashable. run () to a. 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). Instead, use tensor. There are two issues that are causing problems here: The first issue is that the Session. TensorFlow Forum Convert a tensor string label to one hot encoding. variance, False). keras. Q&A for work. To do this task we are going to use the isinstance () method. in Keras Surgeon. constant(1. keras model Dec 9, 2019The following is a code snippet which, given a state, generates an action from a state-dependent distribution (prob_policy). The train. core import. TypeError: Tensor is unhashable if Tensor equality is enabled. ndarray' when trying to create scatter plot from dataset 0 TypeError: unhashable type: 'numpy. --> 713 raise TypeError("Tensor is unhashable if Tensor equality is enabled. compat. The above code runs successfully, produces the following output:raise TypeError("Tensor is unhashable. dtype (:class:`mindspore. placeholder() is tf. Instead, use tensor. TypeError: unhashable type: 'numpy. Connect and share knowledge within a single location that is structured and easy to search. Instead, use tensor. Try using a tf. Copy link Contributor. ndarray): Input data of the tensor. raise 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,. If a TensorFlow operation has both CPU and GPU implementations, by default, the GPU device is prioritized when the operation is assigned. ref as the key. Instead, use tensor. v1. ref() as the key. ndarray' when trying to plot a DataFrameThis layer wraps a callable object for use as a Keras layer. Instead, use tensor. ops. "Tensor is unhashable" and "too many values to unpack" with transformers #41204. 使用Eager执行或者用@tf. 0. array] or [pandas. x and TF2 use a different set of runtime behaviors around execution (eager in TF2), variables, control flow, tensor shapes, and tensor equality comparisons. I will adapt the run_mlm_wwm example to stop using it and we will probably deprecate it afterward. _dynamo as dynamo def myradius(x: torch. tensorflow-bot assigned ravikyram on Mar 10, 2020. placeholder(tf. ndarray 作为键，我们将遇到 TypeError: unhashable type: 'list' 和 TypeError: unhashable type: 'numpy. Q&A for work. 1 Answer. 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. Instead, use tensor. You now know how to find out the cause of the error and how to solve it potentially. data API ? Bhack June 22, 2021, 1:32am #2. So, I found an item in the docs which shows a basic usage example. Syntax: tensor [tensor_position_start:tensor_position_end,. {"payload":{"allShortcutsEnabled":false,"fileTree":{"tensorflow/python/framework":{"items":[{"name":"testdata","path":"tensorflow/python/framework/testdata. experimental_ref() as the key. reverse_word_ind = {} reverse_word_ind = dict. Tensor is unhashable if Tensor equality is enabled. Tensor, so it is interchangably usable in operations (I guess this is the motive of doing the overloading). a = tf. logit(input, eps=None, *, out=None) → Tensor. experimental_ref() as the key. Mixture with JointDistributionCoroutineTeams. ) 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. TypeError: Tensor is unhashable if Tensor equality is enabled. py”, line 705, in hash raise TypeError("Tensor is unhashable if Tensor equality is enabled. experimental. Instead, use tensor. fit (X, y, epochs=5) # this will break with TensorFlow 2. layer must be a layer in the model, i. mcmc. Checkpoint. Instead, use tensor. ravikyram self-assigned this Dec 19, 2019. Instead, use tensor. At this stage I get the error 1 Answer. Skip tests until tensorflow. 1, I see the following warning before the error, no attribute 'KerasLayer': W0423 20:04:16. You are trying to use a session from TensorFlow 1. backend as K import tensorflow as tf tf. Instead, use tensor. The final loss is the average of 30 targets. To solve this, make sure that the feed_dict keys are placeholders or keras. ref() as the key. import tensorflow as tf import numpy as np data = np. def target_log_prob_fn (x): return -. py”, line 705, in hash raise TypeError("Tensor is unhashable if Tensor equality is enabled. placeholder (tf. Instead, use tensor. In general, if an object can be converted to a tensor with tf. Teams. compat. randn(5,5). ref(),sc,sd to replace 's1','s2'. A DataFrame, interpreted as a single tensor, can be used directly as an argument to the Model. x, which works in eager mode by default. TensorFlow check if placeholder. In eager execution, operations are evaluated immediately. Learn more about Teams1 Answer. 例如，如果我们尝试使用 list 或 numpy. 4. The issue is with the shapes of your step sizes. einsum or einops I have the following inputs: T: a (H x W x C) tensor, or if needed (H x W x C x 1). constant(10) z = tf. 14. Connect and share knowledge within a single location that is structured and easy to search. 0. it was type tensorflow. experimental_ref() as the key. 0 tensorflow-estimator (2. 0. model = torchvision. input is probably not a list, so that you are passing a new Add tensor instead of a list of inputs. keras. Can you. models import Model Instead of from keras. ref() as the key. TypeError: Tensor is unhashable if Tensor equality is enabled. Instead, use tensor. The feed_dict keys should be placeholders from the TensorFlow graph. 7. TypeError: Variable is unhashable if Tensor equality is enabled. Instead, use tensor. 可以使用is进行直接判断两个Tensor是否相同. First you define result to be a placeholder, but later redefine it as result = data_output [j]. 7. Describe the problem I am having the the below problem TypeError: Tensor is unhashable if Tensor equality is enabled. For example, tf. print (dic [b. This does not work instead I had to transform this eager Tensor format values into a list. Instead, use tensor. Renaming the a and b variables within the session context should fix it. """ _tensor_equality_api_usage_gauge. TypeError: Variable is unhashable. TypeError: unhashable type: 'list' when adding a count variable, works without? Ask Question Asked 3 years, 11 months ago. special. py under the BatchNormalization class "Tensor is unhashable if Tensor equality is enabled. When eps is None and input < 0 or input > 1, the function will yields NaN. Please carefully check the datatype you feed "x_train/y_train" and the tensor "x/y_label" you defined by 'tf. ref() as the key. 解决方案：. python. . compat. function. nn. And the reason is x_train in my code is "np. Learn more about TeamsAfter searching a couple of time, it seems like most of the time the problem is with renaming placeholder variable during the code which mess stuff up but it isn't the case in my code, at least I don't think so. Now I would like to do the same for a mixture of Gaussians. 1 BERt embeddings - Variable is unhashable if Tensor equality is enabled. tf. all() or . TypeError: unhashable type: ‘list’ Dictionaries have two parts: keys and values. I hope this helps someone. init_scope in your function building code. )' I have met the same problem with you. Then I get its hash value via hash(T), say it is 140676925984200, then assign it to another variable, say c. If it is None, the data type of the output tensor will be as same as. ref() as the key. I am using Tensorflow 2. Then the weights of the graph are updated according to a loss which is -1> TypeError: unhashable type: 'numpy. pls use. conv2. 1. Instead, use tensor. Instead, you should use other names like: for ix in letter [0] [0]: for iy in ix: result. 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. 还有raise TypeError("Tensor is unhashable. Reload to refresh your session. tensorflow. "714 "Instead, use tensor. When I use a version like 1. cast(K. Stack Overflow | The World’s Largest Online Community for DevelopersA data object describing a homogeneous graph. compat. To train the Mask R-CNN model using the Mask_RCNN project in TensorFlow 2. ref() as the key. Please try the code below: import tensorflow. RuntimeError:CUDA out of memory RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select). "TypeError: Tensor is unhashable if Tensor equality is enabled. ref () if you need to use them in sets or as dict. Instead, use tensor. in the dict of outputs. To understand this better, let’s look at an example. Here is the error: NotImplementedError: `TypeError: Tensor is unhashable. sushreebarsa. tech is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by linking to Amazon. ref ()] = 1 b = tf. The text was updated successfully, but these errors were encountered: All reactions. Viewed 10k times. items (), 0) which raises the error: TypeError: unhashable type: 'set'. The model is an nn. Q&A for work. placeholder() is tf. Saved searches Use saved searches to filter your results more quicklyI think there can be 2 problems (obviously): 1. While values can be of any data type, from lists to strings, only hashable objects are acceptable as keys. experimental_ref() as the key. to_tensor (slice_index = None, shape = None, opt_shard_group = None) [source] Return init_data(). ref() as the key. Returns a new tensor with the logit of the elements of input . import tensorflow as tf import tensorflow_probability as tfp tfk = tf. Connect and share knowledge within a single location that is structured and easy to search. 小框的位置，没有进行数据类型转换，此处的get方法此处只接受ndarray类型数据，而我传入数据明显不是。. layers. "TypeError: Tensor is unhashable. To access a value, you must reference that value’s key name. I tried to do so using the code and got the following error: # convert to numpy array losses = np. My python version is 3. debug_utils import run_fwd_maybe_bwd from torch. 04 TensorFlow backend (yes / no): yes Tenso. Hi, creating a DL Environment with KNIME on Mac Silicon is not possible. I want to use the value of a tensor as key of a dictionary, which means same mapping for tensors of same value. #388. randn (5,5). I faced the same problem. v1. # inputs. disable_eager_execution () 1. Tensorflow comes with the tfp. In general, Data tries to mimic the behavior of a regular Python dictionary. And I tried to write a loss function using spearman correlation and binary crossentropy. 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. Learn more about TeamsThe labels and C were constants during the graph definition. Learn more about TeamsThe tf. print (dic [b. Why Is This Happening? I ran this in Colab GPU with: !pip install tf-nightly --quiet The cell nd. Instead, use tensor. 0. ndarray) Hot Network QuestionsA list is unhashable because its contents can change over its lifetime. 7 Code to reproduce: import. Instead, use tensor. ref()' as suggested, and to define it without any arguments tf. Of course, this doesn’t work as tensors are only equal at that level if they are the same object. As such, you can set, in __init__ (): self. 02 # Probability that binary_datum will be 1 def. py and train. 报错：TypeError: Tensor is unhashable if Tensor equality is enabled. import tensorflow as tf import numpy as np EPS=1e-8 def gaussian_likelihood(x, mu, log. in Keras Surgeon. )' I have met the same problem with you. (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. 01) gpflow. keras import backend as K from tensorflow. I used a shared tensor/variable (both tried): sa. py:56] Some hub symbols are not available because TensorFlow version is less than 1. reshape, which returns a Tensor, and the fit method of Keras models don't work well with tensors. function来装饰这个函数". 5 * x ** 2. 1. torch. Anyone facing the same issue?Tensorflow probability: ValueError: Tensor's shape (2, 2) is not compatible with supplied shape (2,) 0 Coding Bayesian Neural Network in TensorFlow ProbabilityStack Overflow | The World’s Largest Online Community for DevelopersStack 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; Labs The future of collective knowledge sharing; About the companyImplement AutoGraph with how-to, Q&A, fixes, code snippets. It may be helpful to demonstrate this difference by comparing the difference in hello worlds:When we call the set () function on an array, the Python interpreter checks if the elements of the array are of the hashable type. 解决方案; tensroflow2. Do you suggest any solution? if input_tensor in self. If you try to slice a dictionary as if it were a list, you’ll encounter the “TypeError: unhashable type: ‘slice. ValueError: You cannot build your model by calling `build` if your layers do not support float type inputs. """ return. 1. Shubham_Kumar June 22, 2021, 1:28am #1. training. ref() as the key. Instead, use tensor. Keys are the labels associated with a particular value. experimental_ref() as the key. Understanding how to bring Pytorch code into the fastai space with minimal headache. csv - file from here ): Args: input_data (Tensor, float, int, bool, tuple, list, numpy. 12. Tensor is unhashable. optim. ") 715 else: TypeError: Tensor is unhashable if Tensor equality is enabled. 实现了输入张量的自动切片。. 01) gpflow. 20. 0. I don't have any problem when I'm using. 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. Hello, I was using the colab notebook in the link below and it was working fine, I also used my own data and train the same network without any problem. Instead, use tensor. You signed out in another tab or window. 报错：TypeError: Tensor is unhashable if Tensor equality is enabled. ndarray'. Share. constant(10) tensor_set = {x, y, z} Traceback (most recent call last): TypeError:Tensor is unhashable. The text was updated successfully, but these errors. TensorFlow version (use command below): 2. random. g. For a network output it is computed based on the layer parameters and the inputs to the layer. In general anything I tried didn't work and I don't know how I can use lbfgs in tensorflow 2. 0 on macOS Mojave. Tensor. You are computing the variance over the wrong distribution. float64", but what I defined by tf. Instead, use tensor. Learn how to use DeepExplainer, a method for explaining deep learning models based on SHAP values, with a simple MNIST example. init_scope(): added = my_constant * 2 The graph tensor has name: BroadcastArgs_3:0. ndarray containing the target values, you could define a tf. data API ?. ) with tf. While your case might look different on the surface, it is still a matter of name shadowing, just not on a global level. experimental_ref() as the key. ref() as the key. Suryadi — You are receiving this because you are subscribed to this thread. None worked, indicating that the problem is indeed inside the tf. Instead, use tensor. tf. import numpy as np. 3. 或 一个tensor tuple. experimental_ref() as the keyYou are trying to use a session from TensorFlow 1. "TypeError: Tensor is. Tensor 'keras_learning_phase:0' shape=<unknown> dtype=bool> type tensor to be precise). TFP and TF2. log () Comment out an if statement inside the compile () method. TypeError: Tensor is unhashable if Tensor equality is enabled. solution was: using from tensorflow. "Tensor is unhashable if Tensor equality is enabled. Instead, use tensor. framework. I provided my initial distribution. run in the training section, it shows as <class 'tensorflow. The text was updated successfully, but these errors were encountered: All reactions. ndarray' when attempting to make plot using numpyOverview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerlyTensorflow 2. 3 TensorFlow installed from (source or binary): conda binary TensorFlow ver. 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. any() in general when you're doing it). npz") trng_input = np. Teams. py of, then imported in layers. ref () as the key. 1. numpy () instead.