tensorflow-data | An small example how to use tensorflow data | Graph Database library

by kalaspuffar Python Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | tensorflow-data Summary

tensorflow-data is a Python library typically used in Database, Graph Database, Tensorflow applications. tensorflow-data has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tensorflow-data build file is not available. You can download it from GitHub.

An small example how to use tensorflow data (tf.data)

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Support

tensorflow-data has a low active ecosystem.

It has 61 star(s) with 31 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 9 have been closed. On average issues are closed in 52 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-data is current.

Quality

tensorflow-data has no bugs reported.

Security

tensorflow-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tensorflow-data is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tensorflow-data releases are not available. You will need to build from source code and install.

tensorflow-data has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed tensorflow-data and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-data implemented functionality, and help decide if they suit your requirements.

Create a TFRecords file
Load an image
Construct a tf train Feature
Get input_fn
Create TFRecordDataset Dataset Dataset
Get input function for validation

Get all kandi verified functions for this library.

tensorflow-data Key Features

No Key Features are available at this moment for tensorflow-data.

tensorflow-data Examples and Code Snippets

Generate an RNN layer .

python

Lines of Code : 391

License : Non-SPDX (Apache License 2.0)

Copy

def rnn(step_function,
        inputs,
        initial_states,
        go_backwards=False,
        mask=None,
        constants=None,
        unroll=False,
        input_length=None,
        time_major=False,
        zero_output_for_mask=False):
  ""

Generate an RNN layer .

python

Lines of Code : 259

License : Non-SPDX (Apache License 2.0)

Copy

def dynamic_rnn(cell,
                inputs,
                sequence_length=None,
                initial_state=None,
                dtype=None,
                parallel_iterations=None,
                swap_memory=False,
                time_majo

Estimate the model .

python

Lines of Code : 198

License : Non-SPDX (Apache License 2.0)

Copy

def fit(self,
          x=None,
          y=None,
          batch_size=None,
          epochs=1,
          verbose=1,
          callbacks=None,
          validation_split=0.,
          validation_data=None,
          shuffle=True,
          class_wei

Community Discussions

Trending Discussions on tensorflow-data

Keras logits and labels must have the same first dimension, got logits shape [10240,151] and labels shape [1], sparse_categorical_crossentropy

while installing tensorflow-datasets in anaconda; packages will be SUPERSEDED by a higher-priority channel:

How to do a pairwise iteration over two unequal-length tf.datasets?

Identify misclassified images with Tensorflow

Filter Tensorflow dataset by id

Given a dataset, find if it's batch'ed

No Gradients Provided Keras Tensorflow when nesting Models

AttributeError: 'dict' object has no attribute 'train' error when trying to implement a convolution neural network program using tensorflow in python

'extras_require' must be a dictionary whose values are strings or lists of strings containing valid project/version requirement specifiers

ERROR: a package requires another one, which is not installed, Python

QUESTION

Keras logits and labels must have the same first dimension, got logits shape [10240,151] and labels shape [1], sparse_categorical_crossentropy

Asked 2021-Jun-10 at 13:36

I'm trying to create a Unet for semantic segmentation.. I've been following this repo that has the code from this article. I'm using the scene parsing 150 dataset instead of the one used in the article. My data is not one-hot encoded so I'm trying to use sparse_categorical_crossentropy for loss.

This is the shape of my data. x is RGB images, y is 1 channel annotations of categories (151 categories). Yes, I'm using just 10 samples of each, just for testing, this will be changed when I can actually get it to start training.

...

ANSWER

Answered 2021-Jun-10 at 13:36

As per Dominik Ficek's comment

Source https://stackoverflow.com/questions/67919303

QUESTION

while installing tensorflow-datasets in anaconda; packages will be SUPERSEDED by a higher-priority channel:

Asked 2021-May-25 at 11:05

while installing tensorflow-datasets in anaconda, using CMD.exe Prompt of anaconda navigator, I am getting the message: packages will be SUPERSEDED by a higher-priority channel

...

ANSWER

Answered 2021-May-25 at 11:05

Is this ok? Does it causes any issue in future, if yes can someone suggest remedies, please.

It doesn't cause any issue. By default, conda prefers packages from a higher priority channel over any version from a lower priority channel. Therefore, you can now safely put channels at the bottom of your channel list to provide additional packages that are not in the default channels and still be confident that these channels will not override the core package set.

Conda collects all of the packages with the same name across all listed channels and processes them as follows:

Sorts packages from highest to lowest channel priority.
Sorts tied packages---packages with the same channel priority---from highest to lowest version number.
Sorts still-tied packages---packages with the same channel priority and same version---from highest to lowest build number.
Installs the first package on the sorted list that satisfies the installation specifications.

You can refer for a list of all the versions that are available for ca-certificates and certifi.

For more information on manage channels you can refer here

Source https://stackoverflow.com/questions/67537031

QUESTION

How to do a pairwise iteration over two unequal-length tf.datasets?

Asked 2021-Apr-05 at 13:46

I work with two datasets of unequal length.

My goal is to take for every element in datasetA an element from the other datasetB. I tried .take(1) (as shown here) to get a single element from datasetB, but repeatedly calling .take(1) does not advance the internal count of the dataset, i.e., it always returns the same element; but I want to get a new element every time.

I can iterate over one dataset using for element in datasetA:, and then consume the second dataset inside as elementB = iterB.get_next(). This throws errors when iterB is consumed.

This is the full toy code I am working with:

...

ANSWER

Answered 2021-Apr-03 at 10:08

I don't know this coding language but here is what you should be doing.

Source https://stackoverflow.com/questions/66929798

QUESTION

Identify misclassified images with Tensorflow

Asked 2021-Mar-22 at 13:44

I have been working on an image classifier and I would like to have a look at the images that the model has misclassified in the validation. My idea was to compare the true and predicted values and used the index of the values that didn't match to get the images. However, when I tried to compare the accuracy I don't get the same result I got when I use the evaluate method. This is what I have done:

I import the data using this function:

...

ANSWER

Answered 2021-Mar-22 at 13:44

This method can help provide giving insights if you want to display or analyse batch-by-batch

Source https://stackoverflow.com/questions/66725569

QUESTION

Filter Tensorflow dataset by id

Asked 2021-Mar-09 at 07:15

ISSUE

I'm trying to filter a Tensorflow 2.4 dataset based on a numpy array containing the indices that I wish to subset. The dataset has 1000 images of shape (28,28,1).

TOY EXAMPLE CODE

...

ANSWER

Answered 2021-Mar-09 at 07:15

TL;DR

It is recommended to use Option C, defined below.

Full answer

The tf.data.Dataset object is created so that all the objects don't have to be loaded into memory. Becuase of that, using tf.gather is not going to work by default. There are three options you can go with:

Option A: Load ds into memory + tf.gather

If you wanted to use gather you would have to load the entire dataset into memory, and select a subset:

Source https://stackoverflow.com/questions/66410340

QUESTION

Given a dataset, find if it's batch'ed

Asked 2021-Feb-08 at 12:40

How do I implement function isBatched so that it tests if the argument dataset is batched?

...

ANSWER

Answered 2021-Feb-08 at 12:40

If you have a dataset:

Source https://stackoverflow.com/questions/66096143

QUESTION

No Gradients Provided Keras Tensorflow when nesting Models

Asked 2021-Jan-04 at 06:28

Im started to work with Keras a little bit but i run in to this issue where it tells me that no gradients are provided. I know that this question was posted like 100 times before but the solutions are always talking about using GradientTape but i don't see why i should do this (also i don't even understand what it does)

...

ANSWER

Answered 2021-Jan-04 at 06:28

I fixed your code. When you get that error, there is not path in the graph between your loss function and your trainable variables, which was true in your case.

You don't have labels to train your autoencoder. I added train_x as your labels.
I don't think SparseCategoricalCrossentropy would work for the architecture you have defined. So, I changed it to BinaryCrossEntropy
When you assigned a name to a vector, spaces are not allowed, so I changed "AutoEncoder Input" to "AutoEncoder_Input"

Here is the code

Source https://stackoverflow.com/questions/65556042

QUESTION

AttributeError: 'dict' object has no attribute 'train' error when trying to implement a convolution neural network program using tensorflow in python

Asked 2020-Dec-26 at 08:22

Even though I am super new to the topic, I am trying to implement a CNN program that can be used to recognize images without using Keras. I am currently using python with Jupyter/Google Colab.

After fixing a few other errors that came up in my code, I now have this error:

...

ANSWER

Answered 2020-Dec-26 at 08:22

Seems that your code is old/out-dated, that's why it doesn't work any more. It is common to TensorFlow library to change very often, and they break interface also often, hence old code stops working.

First, you try to import mnist, this is some wrong module, it contains almost no code, and seems unuseful, probably it was useful and working before, but not now.

Also function mnist.train.next_batch(...) doesn't work anymore as it is not implemented inside dataset mnist any more, probably it was also working before.

I decided to implement my own helper class MyDS that implements all these missing functionalities. Down below is your full corrected code including my class (at the beginning):

Source https://stackoverflow.com/questions/65453394

QUESTION

'extras_require' must be a dictionary whose values are strings or lists of strings containing valid project/version requirement specifiers

Asked 2020-Dec-17 at 18:42

I have a setup.py which contains the following:

...

ANSWER

Answered 2020-Sep-01 at 13:41

You can only use PEP 508 - Dependency specification for Python Software Packages requirements. git://github.com/BioGeek/tta_wrapper.git@master#egg=tta_wrapper is not valid syntax according to that standard.

setuptools does accept the name@ url direct reference syntax:

Source https://stackoverflow.com/questions/63687990

QUESTION

ERROR: a package requires another one, which is not installed, Python

Asked 2020-Dec-17 at 16:03

I was going to install a python package, but it says

...

ANSWER

Answered 2020-Dec-17 at 16:03

I solved this by re-installing the upper packages.

Source https://stackoverflow.com/questions/65293925

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow-data

You can download it from GitHub.
You can use tensorflow-data 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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