Theano | Python library that allows you to define optimize

 by   Theano Python Version: rel-1.0.5 License: Non-SPDX

kandi X-RAY | Theano Summary

kandi X-RAY | Theano Summary

Theano is a Python library. Theano has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However Theano has a Non-SPDX License. You can download it from GitHub.

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara
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              Theano has a medium active ecosystem.
              It has 9721 star(s) with 2508 fork(s). There are 549 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 585 open issues and 2087 have been closed. On average issues are closed in 332 days. There are 101 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Theano is rel-1.0.5

            kandi-Quality Quality

              Theano has 0 bugs and 0 code smells.

            kandi-Security Security

              Theano has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Theano code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Theano has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Theano releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Theano saves you 140720 person hours of effort in developing the same functionality from scratch.
              It has 146496 lines of code, 9654 functions and 396 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Theano and discovered the below as its top functions. This is intended to give you an instant insight into Theano implemented functionality, and help decide if they suit your requirements.
            • Scan function .
            • returns the cblas header text
            • Summarize memory .
            • Pretty print a function .
            • Populate the grad_dict for each node .
            • Helper function for c_code_helper .
            • Return True if the logarithmic negation logarithmic operator is true .
            • Refresh the directory .
            • Implementation of ger_code .
            • Unroll batch_kern .
            Get all kandi verified functions for this library.

            Theano Key Features

            No Key Features are available at this moment for Theano.

            Theano Examples and Code Snippets

            Compute theano model .
            pythondot img1Lines of Code : 131dot img1no licencesLicense : No License
            copy iconCopy
            def fit(self, X, Y, batch_sz=20, learning_rate=1.0, mu=0.99, reg=1.0, activation=T.tanh, epochs=100, show_fig=False):
                    D = X[0].shape[1] # X is of size N x T(n) x D
                    K = len(set(Y.flatten()))
                    N = len(Y)
                    M = self.M
                    
            Calculate theano model .
            pythondot img2Lines of Code : 80dot img2no licencesLicense : No License
            copy iconCopy
            def fit(self, X, Y, learning_rate=0.1, mu=0.99, reg=1.0, activation=T.tanh, epochs=100, show_fig=False):
                    D = X[0].shape[1] # X is of size N x T(n) x D
                    K = len(set(Y.flatten()))
                    N = len(Y)
                    M = self.M
                    self.f = ac  

            Community Discussions

            QUESTION

            module 'numpy.distutils.__config__' has no attribute 'blas_opt_info'
            Asked 2022-Mar-17 at 10:50

            I'm trying to study the neural-network-and-deep-learning (http://neuralnetworksanddeeplearning.com/chap1.html). Using the updated version for Python 3 by MichalDanielDobrzanski (https://github.com/MichalDanielDobrzanski/DeepLearningPython). Tried to run it in my command console and it gives an error below. I've tried uninstalling and reinstalling setuptools, theano, and numpy but none have worked thus far. Any help is very appreciated!!

            Here's the full error log:

            ...

            ANSWER

            Answered 2022-Feb-17 at 14:12

            I had the same issue and solved it downgrading numpy to version 1.20.3 by:

            Source https://stackoverflow.com/questions/70839312

            QUESTION

            arch x86_64 and arm64e is available but python3 is saying incompatible architecture on Mac M1
            Asked 2022-Mar-12 at 15:24

            I am trying to run this reading-text-in-the-wild on Mac M1. When I attempt to run this code

            ...

            ANSWER

            Answered 2022-Jan-17 at 17:39

            the package you are using is not compatible with the new mac hardware by the looks of it. You will need to run this using Rosetta 2, which is an apple system component.

            Source https://stackoverflow.com/questions/70723757

            QUESTION

            Is there a way to fix this error code with DeepVirFinder?
            Asked 2022-Mar-03 at 17:40

            I will try to be as much help as I can, but this is certainly a bit out of my depth.

            I am trying to run the metagenomics package 'DeepVirFinder' on my fasta file 'my_seqs.fa' within terminal on my Mac. I have followed the GitHub repository instructions (as found here https://github.com/jessieren/DeepVirFinder). I have created a conda environment with all the necessary packages.

            Into my terminal I have inputted

            ...

            ANSWER

            Answered 2022-Mar-03 at 17:40

            Apologies - I found out it was an error between h5py and tensorflow. Had to downgrade h5py to 2.10.0.

            Source https://stackoverflow.com/questions/71341084

            QUESTION

            How to get the value of a Theano.tensor variable?
            Asked 2021-Nov-25 at 14:05

            I have to do something like this:

            ...

            ANSWER

            Answered 2021-Nov-25 at 14:05

            In theano you first need to define your variables as symbols. Then you define a function with those symbols. A theano.function has a List of input parameters and the function which should be executed as parameters.

            Once that is done, you can compute your function by substituting the symbols with actual values.

            Source https://stackoverflow.com/questions/70112237

            QUESTION

            What functions or modules require contiguous input?
            Asked 2021-Nov-09 at 14:40

            As I understand, you need to call tensor.contiguous() explicitly whenever some function or module needs a contiguous tensor. Otherwise you get exceptions like:

            ...

            ANSWER

            Answered 2021-Nov-04 at 13:59

            From the pytorch documentation: contiguous() → Tensor. Returns a contiguous tensor containing the same data as self tensor. If self tensor is contiguous, this function returns the self tensor.

            Source https://stackoverflow.com/questions/69840389

            QUESTION

            Using black box likelihood in pymc3
            Asked 2021-Nov-05 at 09:42

            I'm trying to include a black box likelihood function in a pymc3 model. This likelihood function just takes a vector of parameter values and returns the likelihood (all data is already included in the function).

            So far I've been following this guide and have modified the code as follows to accommodate the fact my model only has one parameter k.

            ...

            ANSWER

            Answered 2021-Nov-05 at 09:42

            As per the comments I checked out this thread and discovered that pm.potential really was the cleanest way to achieve black-box likelihood. Modifying the code above as follows did the trick:

            Source https://stackoverflow.com/questions/69841994

            QUESTION

            Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
            Asked 2021-Oct-11 at 14:51

            data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

            I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

            ...

            ANSWER

            Answered 2021-Oct-11 at 14:21

            geopandas 0.10.1

            • have noted that your data is on kaggle, so start by sourcing it
            • there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
            • full code below, have randomly selected a point to serve as gpdPoint

            Source https://stackoverflow.com/questions/69521034

            QUESTION

            Getting multiple variables in TensorFlow and other frameworks (overheads)
            Asked 2021-Oct-06 at 08:10

            If I have the following graph and want to get the values of tensors T1 and T2 in TF without eager execution, how would I do this? I only know of eval() or session.run() (running that twice could be an option) or tf.print(), but printing is not desired (for performance reasons).

            Especially, how is this functionality implemented in TensorFlow? Does this impose a big overhead towards just getting T2? I would be happy to be pointed to relevant resources as well.

            I'm generally looking for discussions on this -- if people want to add comparisons to how other frameworks do this (Caffe, Torch, CNTK, Theano, Chainer, DyNet, etc.), that's great! In the end, I am trying to understand how these frameworks could be expanded by operators that return operator-specfic metrics that a user can use to monitor training.

            Thanks!

            ...

            ANSWER

            Answered 2021-Oct-06 at 08:10

            you can pass multiple parameters to session.run, and it will run the network once and return each of those parameters.

            For example (from the docs):

            Source https://stackoverflow.com/questions/69445120

            QUESTION

            pymc3 TypeError: Unsupported dtype for TensorType: object
            Asked 2021-Sep-02 at 06:08

            I am trying to determine the parameters mu1, mu2, sigma1, sigma2, and w of a bimodal distribution using pymc3. I use the following code:

            ...

            ANSWER

            Answered 2021-Sep-01 at 18:11

            Using pdb I stepped through and found that the error was on this line:

            return np.log(w * norm.pdf(y, mu1, sigma1) + (1-w) * norm.pdf(y, mu2, sigma2)).sum()

            because scipy.stats.norm doesn't know how to deal with pymc/Theano objects. While I'm sure there's an easy way to get a normal density from pymc3 objects, it's also straightforward to define a function to calculate it ourselves:

            Source https://stackoverflow.com/questions/69008321

            QUESTION

            PyMC3 Minibatch ADVI
            Asked 2021-May-31 at 17:36

            I’m trying to use PyMC3 Minibatch ADVI for Bayesian Regression. The pm.fit function throws the following error and I’m not sure how to fix it.

            It says that the ‘str’ object has no attribute ‘type’. What is any ‘str’ object from the error message here? I’ve mapped float tensors for more_replacements to the best of what I know.

            ...

            ANSWER

            Answered 2021-May-31 at 17:34

            The blog post you are working from shows

            Source https://stackoverflow.com/questions/67738634

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Theano

            You can download it from GitHub.
            You can use Theano like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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