None worked, indicating that the problem is indeed inside the tf. experimental_ref() as the keyYou are trying to use a session from TensorFlow 1. Improve this question. "Tensor is unhashable" and "too many values to unpack" with transformers #41204. get_initial_state (x) returns a list of tensor, where cell could be any RNN cell, including GRUCell, whose state is a single tensor. For a network output it is computed based on the layer parameters and the inputs to the layer. read method. 02 # Probability that binary_datum will be 1 def. tensorflow-bot assigned ravikyram on Mar 10, 2020. 1 gpu, its solve ypur problem , imageAi is. array (data ['Input'], dtype=np. Instead, use tensor. 01) gpflow. Tahnks. 或 一个tensor tuple. Learn more about Teams1 Answer. 0. Skip tests until tensorflow. x, which is for graph mode, in TensorFlow 2. " TypeError: Tensor is unhashable. . Teams. ExtensionType: import tensorflow as tf class Doubler (tf. " TypeError: Tensor is unhashable if Tensor equality is enabled. constant (0) tf. 7. v1. experimental_ref() as the key. list is unhashable type, which means it cannot be used as a key. ref() as the key. I'm not sure if this is a bug or just something I am missing:1 Answer. int32, (5,)) row_indices = tf. 4. Copy link Jitendra-Nathawat commented Jul 13, 2020. ref() as the key. Instead, use tensor. dtype`): Input data should be None, bool or numeric type defined in `mindspore. any() in general when you're doing it). #35127 Closed I tried another two approaches as well: to define the checkpoint using a list of 'tensor. 15. . A DataFrame, interpreted as a single tensor, can be used directly as an argument to the Model. Tensor part said simliar thing: use tensor/variable. Why Is This Happening? I ran this in Colab GPU with: !pip install tf-nightly --quiet The cell nd. The model is an nn. map() function. Ask Question Asked 6 years, 3 months ago. 3 Train the head branches Passing layers="heads" freezes all layers except the head layers. Instead, use tensor. For example, tf. Of course, this doesn’t work as tensors are only equal at that level if they are the same object. When running your example I get a slightly different bug, but the issue is in how you define lengthscales and variances. In sample code and OUTPUT below I am getting error " Tensor is unhashable if Tensor equality is enabled. TypeError: Variable is unhashable if Tensor equality is enabled. 30. Instead, use tensor. If so, the elements of the ndarray object are converted to a set object. float64. Syntax: tensor [tensor_position_start:tensor_position_end,. Tensorflow – Input tensors to a Model must come from `tf. reshape instead, which will do the exact same thing. csv - file from here ): Args: input_data (Tensor, float, int, bool, tuple, list, numpy. For a 2-D tensor, this is a standard matrix transpose. Connect and share knowledge within a single location that is structured and easy to search. In general anything I tried didn't work and I don't know how I can use lbfgs in tensorflow 2. AutoGraph has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. T = torch. 2. They are not indexed from zero. TypeError: Tensor is unhashable if Tensor equality is enabled. compat. constant(5) y = tf. TypeError: Tensor is unhashable if Tensor equality is enabled. sample() returns an error: TypeError: Tensor is unhashable if Tensor equality is enabled. disable_eager_execution () 1. If you try to slice a dictionary as if it were a list, you’ll encounter the “TypeError: unhashable type: ‘slice. I want to use the value of a tensor as key of a dictionary, which means same mapping for tensors of same value. constant(5) y = tf. Input` when I concatenate two models with Keras API on Tensorflow In inputs=wide_model. How can I fix TypeError: Tensor is unhashable. 0. run() Load 7 more related questions Show fewer related questions Teams. (Which is quite misleading or unexpected. Can you. Instead, use tensor. 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. registry import lookup_backend from torch. 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. tf. Instead, use tensor. 0 and tensorflow is version 2. Q&A for work. There is something going wrong when calling apply_gradient. I solved this error. py", line 125, in detect_image #655. def to_one_hot (image,label): return image,tf. arr=np. ref() as the key. ops. ref () as the key. ref() I'm getting "TypeError: Tensor is unhashable. Note: Indexing starts with 0. >>> unhashable = {'b': 'a', 'a': 'b'} >>> hashable = frozenset (unhashable. Shubham_Kumar June 22, 2021, 1:28am #1. run(). import tensorflow as tf import numpy as np data = np. GPR(data=(nodes_train, fs_train), kernel=kernel, noise_variance=0. Instead, use tensor. However, evaluating the same tensor twice can return different values; for example that tensor can be the result of reading data from disk, or generating a random number. get. Closed. 0, graphs and sessions should feel like implementation details. columns = reviews_new. run() 15. Tensorflow Batchnormalization - TypeError: axis must be int or list, type given: <class 'tensorflow. "TypeError: Tensor is unhashable. I think the official recommendation from Tensorflow is to use tf. tensor is hashable, while list is not hashable? suppose I have a tensor T = torch. def to_one_hot (image,label): return image,tf. input is probably not a list, so that you are passing a new Add tensor instead of a list of inputs. #14. math. Set number of threads used within an individual op for parallelism. layers. TypeError: Tensor is unhashable. x and TF2 use a different set of runtime behaviors around execution (eager in TF2), variables, control flow, tensor shapes, and tensor equality comparisons. inputs are symbolic Tensors. ) 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. ) is not an. What is the proper way to apply the function to a single feature? python; tensorflow; 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. Then you are using this array as a key in the dictionary for the second run, which obviously doesn't work. random. Python v2. Understanding how to bring Pytorch code into the fastai space with minimal headache. constant([1, 2, 3]) vals_tensor = tf. It then requires users to manually compile the abstract syntax tree by passing a set of output tensors and input tensors to a session. ref(),sc,sd to replace 's1','s2'. ref() as the key. 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]. ndarray'. But the main problem is that this example shows how to use transformers with the tensorflow_data. ValueError: You cannot build your model by calling `build` if your layers do not support float type inputs. placeholder(tf. testing’ My Code. So, I found an item in the docs which shows a basic usage example. numpy() I get TypeError: Tensor is unhashable. experimental_ref() as the key #36600. 0rc0 during training matterport/Mask_RCNN#1889. Instead, use tensor. sample() returns an error: TypeError: Tensor is unhashable if Tensor equality is enabled. TypeError: unhashable type: 'ListWrapper' TensorFlow 2. experimental_ref() as the key. experimental_ref() as the key. "TypeError: Tensor is. opened Sep 1, 2019 by kristofgiber 27. c = 140676925984200 dic = dict () dic [T] = 100 dic [c] The last line caused an error: RuntimeError: bool value of Tensor with. Using my GCN NeighborSampling (dynamic shapes) Benchmark I found that eager. experimental_ref() as the key. The issue is with the shapes of your step sizes. Tensor part said simliar thing: use tensor/variable. Here is the fix in the code: # Fit the model # model. What you need is to get just the first item in list, written like so k = list[0]. Hi, I am using the visualbert model as shown in visualbert visualreasoning # Assumption: `get_visual_embeddings(image)` gets the visual embeddings of the image in the batch. v1. ref() as the key. 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. Below is the code. 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. ref() as the key. input + [deep_model. WeakKeyDictionary() d[x] = 5 print(d[x]) That would give the exception RuntimeError: Boolean value of Tensor with more than one value is ambiguous. Slicing: Slicing means selecting the elements present in the tensor by using “:” slice operator. To see the problem, here is code to mock up inputs and call for the result: import tensorflow_probability as tfp tfd = tfp. No License, Build not available. v1. experimental_ref() as the key. Instead, use tensor. Traceback (most recent call last): F…Hi, I am confused that why torch. 5. 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. (tensor/variable defined in model_fefinition. Hashability makes an. 0. # 数据转换 label = classes. ref () as the key. ndarray' Tensorflow. Instead, use tensor. Description I want to convert swin transformer model with dynamic shape to tensorrt. array] or [pandas. Instead, use tensor. ref() as the key . 0; tensorflow-datasets; Share. experimental_ref() as the key. You now know how to find out the cause of the error and how to solve it potentially. placeholder(. Posted on Monday, March 16, 2020 by admin. If it is None, the data type of the output tensor will be as same as. . 1. npz") trng_input = np. shape – Dims The shape of a tensor. import os from math import inf import torch from torch import tensor, device import torch. Teams. 0. . testing import network ModuleNotFoundError: No module named ‘pandas. Consider using np. Instead, use tensor. 0. placeholder() is tf. train(example_data)). You can update an item contained in the list at any time. TypeError: Tensor is unhashable if Tensor equality is enabled. TypeError: Tensor is unhashable if Tensor equality is enabled. raise TypeError("Tensor is unhashable if Tensor equality is enabled. ExtensionType): @tf. experimental_ref() as the key. one_hot (classes_to_indices [label],depth=14) train_ds = train_ds. Shubham_Kumar June 22, 2021, 1:28am #1. Instead, use tensor. framework. 0-rc1 on python 3. random. constant(10) tensor_set = {x, y, z} Traceback (most recent call last): TypeError: Tensor is unhashable. 4. ref() as the key. Args: x: A `SparseTensor` of rank 2. optim. Hashable objects which compare equal must have the same hash value. shuffle () Replace tf. Instead, use tensor. Instead, use tensor. experimental_ref() as the key. To train the Mask R-CNN model using the Mask_RCNN project in TensorFlow 2. experimental_ref() as the key. Instead, use tensor. experimental_ref() as the key. The same for v = list [j + 1:] which should just be v = list [2] for the third element of the list returned from the call to readline. experimental_ref() as the key. TypeError: Tensor is unhashable. TypeError: unhashable type: ‘slice’ A slice is a subset of a sequence such as a string, a list, or a tuple. The following is a normalizing flow model of the log conditional density of x_ given c_. seed (42) dataframe = pd. 1. Dataset. in Keras Surgeon. from_tensor_slices ( ( [3, 4], [0, 1])) print (list (data1. special. I just slightly changed the line to one_hot = sess. . Tensor([2,3,4]) d = weakref. keras. Variable(1. fit. x and 2 and should solve any errors based on the version import. dtype`. Matern32(variance=variances, lengthscales=lengthscales)I'm trying to train a custom object detection model using my GPU instead of CPU. Below is an example of training a model on the numeric features of the. Instead, use tensor. The data object can hold node-level, link-level and graph-level attributes. 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. Instead, use tensor. tensorflow=2. I'm fairly new to tensorflow and MCMC in general. 1. Is that dataset Map transforms. In other words: learn a Gaussian distribution of the encoding. Learn more about TeamsA `Tensor` is a symbolic handle to one of the outputs of an `Operation`. 1. shape. 0 报错AttributeError: Tensor. raise TypeError("Tensor is unhashable. placeholder(. If it is None, the data type of the output tensor will be as same as. detection. you are getting the error because when you type-casted using int (x) it was still a tensor. Instead, use tensor. round(y. {"payload":{"allShortcutsEnabled":false,"fileTree":{"tensorflow/python/framework":{"items":[{"name":"testdata","path":"tensorflow/python/framework/testdata. Tensor. testing import network ModuleNotFoundError: No module named ‘pandas. If a TensorFlow operation has both CPU and GPU implementations, by default, the GPU device is prioritized when the operation is assigned. TypeError: Variable is unhashable if Tensor equality is enabled. Tensor. TypeError: Tensor is unhashable. Instead, use tensor. Values in a Python dictionary cannot be sliced like a list. TypeError: unhashable type: 'numpy. answered Nov 11, 2017 at 15:09. python. train. Instead, use tensor. Checkpoint(). numpy ()) 1. placeholder (tf. Renaming the a and b variables within the session context should fix it. import tensorflow as tf import numpy as np EPS=1e-8 def gaussian_likelihood(x, mu, log. data API ?. layers. Copy link2. Follow asked Nov. Tensor is unhashable. ref() as the key. Closed hassanshallal opened this issue Oct 15, 2019 · 2 comments Closed TypeError: Variable is unhashable if Tensor equality is enabled. ref() as the key. net = tf. dtype (:class:`mindspore. This is because dictionaries can have custom key values. experimental_ref () as the key. Instead, use tensor. keras. PS: Maybe I could do this transformation by converting to one-hot and transforming it with a matrix, but that would look much less straightforward in the code. Closed hassanshallal opened this issue Oct 15, 2019 · 2 comments Closed TypeError: Variable is unhashable if Tensor equality is enabled. " TypeError: Tensor is unhashable if Tensor equality is enabled. I noticed several other likely problems with the code, of which I'll mention a few. 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. Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerlyTensor is unhashable. details. "Tensor is unhashable if Tensor equality is enabled. experimental. Instead, use tensor. Hashable objects which compare equal must have the same hash value. . _model_inputs and input_tensor not in self. experimental_ref() as the key. 12 and the TensorFlow version is 2. compat allows you to write code that works both in TensorFlow 1. 0. 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). distributions NSAMPLES = 2000 # Size of corpus NFEATURES = 10000 # Number of words in corpus NLABELS = 10 # Number of classes ONE_PROB = 0. The feed_dict keys should be placeholders from the TensorFlow graph. Tensor is unhashable if Tensor equality is enabled. Q&A for work. Try using a tf. ref() as the key. Learn more about Teamsx = tf. raise TypeError("Tensor is unhashable if Tensor equality is enabled. util. Tensor is unhashable. import tensorflow as tf dic = {} a = tf. experimental_ref() as the key. ndarray) - Already have converted the data to numpy array. Follow. (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. ops. tensor_dict = {x:'five', y:'ten'} Traceback (most recent call last): TypeError:Tensor is unhashable. Element-wise equality implies that tensors are: unhashable. bijectors tfd = tfp. )' I have met the same problem with you. Instead, use tensor.