array_out = tensor. It gives a step-by-step guide of how to fit the diffusion tensor to data from DTI or HARDI acquisition protocols, how to generate maps of standard markers like mean diffusivity (MD) and fractional anisotropy (FA), and how to generate principal direction and colour FA maps. Or, you can fake real multidimensional arrays with lists ;-). Converting a torch Tensor to a numpy array and vice versa is a breeze. Using this kind of representation, in principle we could realize all tensor manipulations in terms of drawing diagrams. dtype in mind when converting to a tensor, so preferred_dtype can be used as a soft preference. print(pt_tensor_from_list) We print pt_tensor_from_list, and we have our tensor. 我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用tensorflow. Following is the code I am trying. Universal groups cannot be members of global groups though. type()) or x. And: A view is different from a list. Typically you can use the c function (as illustrated above) to create lists of numeric types. and 15 devices with AC750 Dual Band Wireless Signal Booster & Repeater (up to 750Mbps speed), and Compact Wall Plug Design. Double infinite summation This formula reflects the commutative property of infinite double sums by the quadrant. Example #1 : In this example we can see that by using tf. With the list() method, we can also convert a dictionary to a list. exportfunction. Dot(axes, normalize=False) Layer that computes a dot product between samples in two tensors. ) – one or more Tensors to be concatenated together into one. convert_to_tensor(initial_python_list) So tf. "TypeError: Failed to convert object of type to Tensor. convert_to_tensor`](framework. This means that I would be converting near all my security groups in AD to universal to support my proposed structure. Basically, it is a component that lets you call Python scripts (both synchronously and asynchronously) from C# code (with a variable list of arguments) and returns its output (which can also be a chart or figure - in this case, it will be returned to the C# client application as a Bitmap). These three identities form a complete list of symmetries of the curvature tensor, i. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. - opencv_tensor. Posted by: Chengwei 11 months, 3 weeks ago () You are going to learn step by step how to freeze and convert your trained Keras model into a single TensorFlow pb file. else, If in one of the vx_mddata dimension is 1. Please note that there are separate instructions available for CRC journal articles and IFAC meeting papers. It also allows for the use of Tensor Cores, which perform matrix multiplication on 4×4 FP16 matrices and adds a 4×4 FP16 or FP32 matrix. From the unique command I could find out the number of road segments,drivers and taxis but problem is how to enter the value of travel time at each point. I tried to convert using. Current Issue / Bug Report I tried to convert a list of tensors to a numpy array. All rights reserved. We have already had a brief about tensors, here we’ll see how can we convert a numpy array into a tensor. else, If in one of the vx_mddata dimension is 1. By voting up you can indicate which examples are most useful and appropriate. axis (literal or symbolic integer) - Tensors will be joined along this axis, so they may have different shape[axis]. tostring() function cat_string = cat_img. How to convert between NumPy array and PIL Image Ashwin Uncategorized 2014-01-16 2018-12-31 0 Minutes This example illustrates converting a 3-channel RGB PIL Image to 3D NumPy array and back:. pt file to a. Note that this requires the pillow package. Tensor is the central unit of data in tensorflow and it comprises of primitive values set shaped as an array of multi-dimension. asMatrix() method for converting an Eigen::Tensor to a matrix for diagonalization, is that right?. Fix a seed for GPU tensors. Source code for xenonpy. Here are the examples of the python api tensorflow. Data items are converted to the nearest compatible builtin Python type, via the item function. md#convert_to_tensor). - opencv. python pandas_input_fn Converting from Pandas dataframe to TensorFlow tensor object tensorflow read csv (3) I'm still new to Python, Machine Learning and TensorFlow, but doing my best to jump right in head-first. Converting the model to TensorFlow. Tensorflow's name is directly derived from its core framework: Tensor. # * Verify that values is a list if that matches the input_arg's # type. There is some complexity here. We will use NumPy to create an array like this: import numpy as np arr = np. convert_tokens_to_ids, train_tokens_ids)) Finally, we need to pad our input so it will have the same size of 512. [in] policy: A vx_convert_policy_e. Flight dynamics is shifting from vectors to tensors in order to adapt to the ever-increasing computer power available for solving complex aerospace problems. If the conversion to `preferred_dtype` is not possible, this argument. They are extracted from open source Python projects. Converting DWI data to tensors Click on the module Data Slicer displays the list of DTI volumes 34. asfarray Convert input to a floating point ndarray. There is an obvious problem here. Mathematica can use either Dot + Tr to represent some tensors, or TensorContract + TensorProduct. 6 Sequence Types -- str, unicode, list, tuple, buffer, xrange. The method used to convert tensor equations to scalar equations is an extension of the generalized surface spherical harmonic expansion of Phinney & Burridge and should be useful in other non. That is 1x3x4. Convert List Of Tensors To Tensor Pytorch. Pre-trained models and datasets built by Google and the community. This tutorial gives an introduction to standard diffusion tensor image fitting with Camino. As long as two tensors are concatenated or stacked, other tensors can’t be stacked because of shape mismatch. We derive the scalar representations of the most common algebraic and differential operations on vector and second-order tensor fields, and apply the results to obtain scalar formulations of various tensor problems in the continuum mechanics of the Earth's mantle. Consider casting elements to a supported type. I performed transfer learning using ssd + mobilenet as my base model in tensorflow and freezed a new model. I saw a solution that uses CMD, diskpart list disk select disk clean convert gpt exit. type()) or x. I want to convert lower case text to uppercase text in Microsoft Word. If the conversion to dtype_hint is not possible, this argument has no effect. asfarray Convert input to a floating point ndarray. NET data binding. vhdx virtual hard drive (HV on windows 10) to convert to a. " is published by SHUBHAM GOTHALE. The Elsevier article class helps you to format the frontmatter of your manuscript. uint8) filename = ''. A template class that enable you to make tensors with any dimensionality. Converting a tensor's components from one such basis to another is through an orthogonal transformation. convert_to_tensor, and we pass in our Python list, and the result of this operation will be assigned to the Python variable tensor_from_list. Scalars, Vectors and Tensors A scalar is a physical quantity that it represented by a dimensional num-ber at a particular point in space and time. join(chr(i) for i in filename) However Tensor objects are not iterable and hence this fails. TensorFlow is fastidious about types and shapes. Deleted my partitions, except for the main one then when I tried to install Windows 10 on my main partition, it said, "Windows can't be installed on MBR. In addition to having the same rank, the input tensors must have the same shape. But, there is a way. Data items are converted to the nearest compatible builtin Python type, via the item function. Use of Diffusion Tensor Imaging for Evaluating Changes in the Microstructural Integrity of White Matter Over 3 Years in Patients with Amnesic-Type Mild Cognitive Impairment Converting to Alzheimer. Check that types/shapes of all tensors match. This script used for for word-vector visualization on Embedding Visualization. In geometry and linear algebra, a Cartesian tensor uses an orthonormal basis to represent a tensor in a Euclidean space in the form of components. We have already had a brief about tensors, here we’ll see how can we convert a numpy array into a tensor. com: Introduction to Diffusion Tensor Imaging (9780444528285) by Susumu Mori and a great selection of similar New, Used and Collectible Books available now at great prices. com as of August 3rd, 2018, P4000 = $849. ## Higher Order Operators TensorFlow provides several higher order operators to simplify the common map-reduce programming patterns. These two names contain a series of powerful algorithms that share a common challenge—to allow a computer to learn how to automatically spot complex patterns and/or. I know how to convert an np array into a tensor object with the function tf. This script used for for word-vector visualization on Embedding Visualization. No, because None and 64 have different types, and all tensors are typed: You can't have elements of different types in one tensor. 1 Finally, all files in the GitHub repository have been updated to be able to run on Julia 1. And: A view is different from a list. Pseudogout is a similar but generally less painful condition caused by calcium pyrophosphate crystals in the joints. Learn how to convert a Keras model into a TensorFlow Estimator, using a text classifier as an example. The method used to convert tensor equations to scalar equations is an extension of the generalized surface spherical harmonic expansion of Phinney & Burridge and should be useful in other non. Do you want to concatenate two tensors into one or actually create a list of tensors where each tensor remains as separate object? You want to matmul both such lists so i assume the former? If so than you could just use tf. Converting a Caffe model to TensorFlow Wed, Jun 7, 2017 Converting a Caffe model to TensorFlow. convert_to_tensor taken from open source projects. We derive the scalar representations of the most common algebraic and differential operations on vector and second-order tensor fields, and apply the results to obtain scalar formulations of various tensor problems in the continuum mechanics of the Earth's mantle. Convert tensors to numpy array and print. 07/25/2019; 10 minutes to read +6; In this article. eval() method may need, in order to succeed, also the value for input placeholders. You can use x. To do this, we’ll use the tf. NET data binding. If one component of shape is the special value -1, the size of that dimension is computed so that the total size remains constant. Process convolution of any tensors and so on. from_tensor_slices() method, we are able to get the slices of list or array. To avoid this problem, TF 2. To convert back from tensor to numpy array you can simply run. Convert List Of Tensors To Tensor Pytorch. Tensors are identified by the following three parameters − Rank. Tensor Operations. Session() as sess: sess. convert_to_tensor(img. Amazon EC2 Spot instances are spare compute capacity in the AWS cloud available to you at steep discounts compared to On-Demand prices. But, there is a way. I just gave cout< to Tensor. All values in a tensor hold identical data type with a known (or partially known) shape. join(chr(i) for i in filename) However Tensor objects are not iterable and hence this fails. axis (literal or symbolic integer) - Tensors will be joined along this axis, so they may have different shape[axis]. Some TensorFlow APIs call for lists of a numeric type. convert_tokens_to_ids, train_tokens)) test_tokens_ids = list(map(tokenizer. String literals are written in single or double quotes: 'xyzzy', "frobozz". Consider casting elements to a supported type. Using Tensorboard or the summarize_graph tool, you can get the shape. string be converted to a Python string easily , or is there some other feature I am not aware. Current Issue / Bug Report I tried to convert a list of tensors to a numpy array. In addition to having the same rank, the input tensors must have the same shape. 3 Tensors Having deﬁned vectors and one-forms we can now deﬁne tensors. [code]import numpy as np Import tensorflow as tf my_func(arg): arg = tf. The pure numeric layers will be sorted intrinsically then all elements will be bound in certain order as one character element, and filled into the proper location in the tensor. We see that all of our original numbers are inside of it and we also know that they are being evaluated as floating32 numbers. uint8) filename = ''. [TOC] Functional operations. My matrix is of dimension 4432506×4 and my tensor is a 3 dimensional tensor of 99320 * 100 *8 I tried applying the same procedure you mentioned but it is a cell array and I need a tensor. It accepts Tensor objects, numpy arrays, Python lists, and Python scalars. This script used for for word-vector visualization on Embedding Visualization. Can not convert tensorflow pb model in to DLC format; Input tensor 'image_tensor:0' Cannot convert a tensor of type float32 to an input of type uint8. In any case, Tensors must have same size in each dimension, they cannot be "ragged" and must have a shape defined by a single number in each dimension. So I think it can be useful for. Pre-trained models and datasets built by Google and the community. It follows at once that scalars are tensors of rank. Pre-trained models and datasets built by Google and the community. Use of Diffusion Tensor Imaging for Evaluating Changes in the Microstructural Integrity of White Matter Over 3 Years in Patients with Amnesic-Type Mild Cognitive Impairment Converting to Alzheimer. Through integration, the metric tensor allows one to define and compute the length of curves on the manifold. I tried to convert using. ) - one or more Tensors to be concatenated together into one. Converting a torch Tensor to a numpy array and vice versa is a breeze. This conversion is newly possible in TensorFlow 1. Generally, most of the packages are in the latex subdirectory, although other packages (such as BibTeX and font packages) are found in other subdirectories in doc. A tensor of rank (m,n), also called a (m,n) tensor, is deﬁned to be a scalar function of mone-forms and nvectors that is linear in all of its arguments. TensorShape([None, 1, 1, 64]). Plus, advice on where to get old plantation shutters repainted. With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:. Now, we need to convert the. Converting a Caffe model to TensorFlow Wed, Jun 7, 2017 Converting a Caffe model to TensorFlow. import tensorflow as tf from simple_tensor. How do I get the Christoffel Symbols on the 3-Sphere? Last time I used just the basic facilities of Maxima to derive the metric tensor from the transformations. # Let's convert the picture into string representation # using the ndarray. TensorFlow-Serving: Flexible, High-Performance ML Serving. Convert tensor to numpy array keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. They are extracted from open source Python projects. The Caffe Model Zoo is an extraordinary place where reasearcher share their models. Check that types/shapes of all tensors match. The torch Tensor and numpy array will share their underlying memory locations, and changing one. It's literally a flow of tensors. These three identities form a complete list of symmetries of the curvature tensor, i. NETGEAR WiFi Range Extender EX3700 - Coverage up to 1000 sq. No, because None and 64 have different types, and all tensors are typed: You can't have elements of different types in one tensor. Quite straightforward. Welcome to TensorLayer¶ Documentation Version: 2. The dimensions are equal. A manifold equipped with a positive-definite metric tensor is known as a Riemannian manifold. The range used is [first,last), which contains all the elements between first and last, including the element pointed by first but not the element pointed by last. Tensor and scalar operation. TensorLayer is a Deep Learning (DL) and Reinforcement Learning (RL) library extended from Google TensorFlow. Moving from Julia 0. asfarray Convert input to a floating point ndarray. If the conversion to preferred_dtype is not possible, this argument has no effect. axis (literal or symbolic integer) – Tensors will be joined along this axis, so they may have different shape[axis]. We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all. Double infinite summation This formula reflects the commutative property of infinite double sums by the quadrant. a chapter on vector and tensor fields defined on Hypersurfaces in a Euclidean Manifold. Adding a dimension to a tensor can be important when you’re building deep learning models. [code]import numpy as np Import tensorflow as tf my_func(arg): arg = tf. Convert tensor to numpy array keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. I am writing a code in which I need to contract a four-dimensional tensor (Eigen::Tensor) with a two-dimensional tensor (Eigen::Tensor) and then diagonalize it. In part three of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (

[email protected]) discusses convolutional neural networks and why they are so powerful in Computer vision scenarios. We see that all of our original numbers are inside of it and we also know that they are being evaluated as floating32 numbers. There are two things we need to take note here: 1) we need to pass a dummy input through the PyTorch model first before exporting, and 2) the dummy input needs to have the shape (1, dimension(s) of single input). No, because None and 64 have different types, and all tensors are typed: You can't have elements of different types in one tensor. Converting a Caffe model to TensorFlow Wed, Jun 7, 2017 Converting a Caffe model to TensorFlow. Using Tensorboard or the summarize_graph tool, you can get the shape. Before we begin our discussion around neural networks, we should know the operations that can be performed on Tensors while training neural networks. 3 Tensors Having deﬁned vectors and one-forms we can now deﬁne tensors. V-Ray core rendering technology integrates into Autodesk Revit introducing tools for VR output, materials, environments, and advanced post-processing. Analogously, we can deﬁne the tensor of inertia about point O, by writing equation(4) in matrix form. 6 Sequence Types -- str, unicode, list, tuple, buffer, xrange. List price on newegg. This was no issue in Tensorflow 1. In particular, a shape of [-1] flattens into 1-D. Definign variables is necessary because the hold the parameter. A template class that enable you to make tensors with any dimensionality. Mathematica can use either Dot + Tr to represent some tensors, or TensorContract + TensorProduct. run か eval でOKです。. The Elsevier article class helps you to format the frontmatter of your manuscript. It is the reason I want to use it, I would like to improve recognition accuracy of small objects. 0, top_k=3) ¶ Performs classification with a raw input tensor. You can use x. For example: import numpy as np def my_func(arg): arg = tf. A template class that enable you to make tensors with any dimensionality. Scalars, Vectors and Tensors A scalar is a physical quantity that it represented by a dimensional num-ber at a particular point in space and time. Simple calculations show that such a tensor has (−) / independent components. Perfect - We were able to use the PyTorch tensor operation torch. We see that all of our original numbers are inside of it and we also know that they are being evaluated as floating32 numbers. There is an obvious problem here. # * Convert values to Tensors if it contains constants. 0000 This last command displays the 1st, 3rd and 4th elements of the vector x. Current Issue / Bug Report I tried to convert a list of tensors to a numpy array. By voting up you can indicate which examples are most useful and appropriate. RGBImageToVTKXMLImageConverter: Convert an ITK image to a VTK XML image. A global dictionary that holds information about what Caffe2 modules have been loaded in the current. I have written a code which converts a RGB video to Grayscale and now I want to convert it to a tensor. No, because None and 64 have different types, and all tensors are typed: You can't have elements of different types in one tensor. For now, this is all you need to know about tensors, but you'll go deeper into this in the next sections! Today's TensorFlow tutorial for beginners will introduce you to performing deep learning in an interactive way: You'll first learn more about tensors;. vhdx virtual hard drive (HV on windows 10) to convert to a. In Python, we will construct a Plasma client and point it to the store's socket. Pre-trained models and datasets built by Google and the community. Pre-trained models and datasets built by Google and the community. As long as two tensors are concatenated or stacked, other tensors can’t be stacked because of shape mismatch. Working with Tensors - Creating test problems, tensor multiplication, and more. I believe that the TensorContract + TensorProduct representation, while verbose, is more powerful f. This means that I would be converting near all my security groups in AD to universal to support my proposed structure. To do this, we'll use the tf. Returns: List of bottleneck arrays, their corresponding ground truths, and the relevant filenames. add_images (tag, img_tensor, global_step=None, walltime=None, dataformats='NCHW') [source] ¶ Add batched (4D) image data to summary. convert_to_tensor(). [batch_size, ?], `?` means dynamic IDs for each example. In this tutorial, we're going to cover how to adapt the sample code from the API's github repo to apply object detection to streaming video from our webcam. if applied to a list of two tensors a and b of shape (batch_size, n), the output will be a tensor of shape (batch_size, 1) where each entry i will be the dot product between a[i] and b[i]. I have a very expensive function which I map onto this dataset using tf. keras_array: Convert a list of sequences into a matrix. This tutorial gives an introduction to standard diffusion tensor image fitting with Camino. My tensor has floating point values. We can call functions from numpy refrerring to it as np$_a_function. This requires you to process the input data (the image) and convert it to the appropriately formatted input tensor for your model. Process convolution of any tensors and so on. The pure numeric layers will be sorted intrinsically then all elements will be bound in certain order as one character element, and filled into the proper location in the tensor. Process convolution of any tensors and so on. The dimensions are equal. From the unique command I could find out the number of road segments,drivers and taxis but problem is how to enter the value of travel time at each point. ## Higher Order Operators TensorFlow provides several higher order operators to simplify the common map-reduce programming patterns. tensor_list (a list or tuple of Tensors that all have the same shape in the axes not specified by the axis argument. File Takes an Image Mat file as an input and convert it to tensor. decode_raw(filename, tf. else, If in one of the vx_mddata dimension is 1. " I'm trying to solve the XOR problem, this is my main set up. Jul 09, 2014 · How to find a bulb for a Tensor lamp. python pandas_input_fn Converting from Pandas dataframe to TensorFlow tensor object tensorflow read csv (3) I'm still new to Python, Machine Learning and TensorFlow, but doing my best to jump right in head-first. print(pt_tensor_from_list) We print pt_tensor_from_list, and we have our tensor. Please help [/quote] I was facing the same issue. Appending to a tensor/list in TensorFlow Raw. However, there are a couple of special cases (mostly involving specifying the shapes of tensors) where you may need to create a numeric list with an embedded NULL or a numeric list with only a single item. OrientationsViewer: Single and multi-shell orientations viewer. Step 3: Access the Tensor in a Python Process. For now, this is all you need to know about tensors, but you'll go deeper into this in the next sections! Today's TensorFlow tutorial for beginners will introduce you to performing deep learning in an interactive way: You'll first learn more about tensors;. Through integration, the metric tensor allows one to define and compute the length of curves on the manifold. 最近在看《TensorFlow 实战Google深度学习框架第二版》这本书，测试LeNet-5这个模型时遇到了TypeError: Failed to convert object of type to Tensor的报错，由于书作者没有给出测试的代码，所以根据前面第五章给出的mnist测试代码修改了测试的代码。. For than the tensor object need to be converted to numpy array. because later i have to calculate a - 1. For now, this is all you need to know about tensors, but you’ll go deeper into this in the next sections! Today’s TensorFlow tutorial for beginners will introduce you to performing deep learning in an interactive way: You’ll first learn more about tensors;. tensor = tf. pt file to a. OpenVX Neural Network Extension Library (vx_nn) vx_nn is an OpenVX Neural Network extension module. Converting the model to TensorFlow. I am writing a code in which I need to contract a four-dimensional tensor (Eigen::Tensor) with a two-dimensional tensor (Eigen::Tensor) and then diagonalize it. Tensors are identified by the following three parameters − Rank. See chapter 2 of the Python Reference Manual for more about string literals. ndim-levels deep nested list of Python scalars. To do that, I need to convert the tensorflow checkpoint to uff. variables: tensor or list of tensors to consider constant with respect to any other variable. By voting up you can indicate which examples are most useful and appropriate. Convert tensor to numpy array keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. We will use NumPy to create an array like this: import numpy as np. md#convert_to_tensor). TensorFlow-Serving: Flexible, High-Performance ML Serving. We have already had a brief about tensors, here we’ll see how can we convert a numpy array into a tensor. If the conversion to preferred_dtype is not possible, this argument has no effect. They are extracted from open source Python projects. Simple calculations show that such a tensor has (−) / independent components. The tensor package uses its own data type, called tensor_type, to represent objects which have possibly both covariant and contravariant indices. You can however create a TensorShape: tf. This implementation supports only floating-point tensor datatype and does not support 8-bit and 16-bit fixed-point datatypes specified in the OpenVX specification. Pseudogout is a similar but generally less painful condition caused by calcium pyrophosphate crystals in the joints. Syntax : tf. float32) return tf. This was no issue in Tensorflow 1. Do you want to concatenate two tensors into one or actually create a list of tensors where each tensor remains as separate object? You want to matmul both such lists so i assume the former? If so than you could just use tf. It accepts Tensor objects, numpy arrays, Python lists, and Python scalars. From Tensorboard, if we evaluate the input_tensor, you'll see the shape ?x28x28x1. In order to be able to run them (at the time of writing), the developmental versions of the Tensorflow. Welcome to part 2 of the TensorFlow Object Detection API tutorial. Sort a tuple Tuples are arrays you cannot modify and don't have any sort function. “TypeError: Failed to convert object of type to Tensor. tostring # Now let's convert the string back to the image # Important: the dtype should be specified # otherwise the reconstruction will be errorness # Reconstruction is 1d, so we need sizes of image # to fully reconstruct it. given any tensor which satisfies the identities above, one can find a Riemannian manifold with such a curvature tensor at some point. filename = tf. com: Introduction to Diffusion Tensor Imaging (9780444528285) by Susumu Mori and a great selection of similar New, Used and Collectible Books available now at great prices. Items: We get a view of the dictionary with items() and then convert that to a list. Current Issue / Bug Report I tried to convert a list of tensors to a numpy array. Python tensorflow 模块， convert_to_tensor() 实例源码. This implementation supports only floating-point tensor datatype and does not support 8-bit and 16-bit fixed-point datatypes specified in the OpenVX specification. convert_to_tensor()执行的时候发生了什么，在这里做一下笔记。. Is there any way how I can achieve it?. type()) or x. Quite straightforward. TensorShape([None, 1, 1, 64]). from_tensor_slices(list) Return : Return the objects of sliced elements. You can vote up the examples you like or vote down the ones you don't like. eval() method may need, in order to succeed, also the value for input placeholders. That is 1x3x4. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Welcome to part 2 of the TensorFlow Object Detection API tutorial. convert_to_tensor()执行的时候发生了什么，在这里做一下笔记。. The following are code examples for showing how to use tensorflow. Process convolution of any tensors and so on. convert_to_tensor(). Converting the model to TensorFlow. In my attempt to summarize tensor analysis in a single paragraph, I have left out many important details. if applied to a list of two tensors a and b of shape (batch_size, n), the output will be a tensor of shape (batch_size, 1) where each entry i will be the dot product between a[i] and b[i]. because later i have to calculate a - 1. Current Issue / Bug Report I tried to convert a list of tensors to a numpy array. Tensor may work like a function that needs its input values (provided into feed_dict) in order to return an output value, e.