Tensorflow.data.Dataset.rejection_resample modifies my dataset's element

Tensorflow.data.Dataset.rejection_resample modifies my dataset's element_spec

I am trying to use tf.data.Dataset.rejection_resample to balance my dataset, but I am running into an issue in which the method modifies the element_spec of my dataset, making it incompatible with my models.

The original element spec of my dataset is:

({'input_A': TensorSpec(shape=(None, 900, 1), dtype=tf.float64, name=None),
  'input_B': TensorSpec(shape=(None, 900, 1), dtype=tf.float64, name=None)},
 TensorSpec(shape=(None, 1, 1), dtype=tf.int64, name=None))

This is the element spec after batching.

However, if I run rejection_resample (before batching), the element spec at the end becomes:

(TensorSpec(shape=(None,), dtype=tf.int64, name=None),
 ({'input_A': TensorSpec(shape=(None, 900, 1), dtype=tf.float64, name=None),
   'input_B': TensorSpec(shape=(None, 900, 1), dtype=tf.float64, name=None)},
  TensorSpec(shape=(None, 1, 1), dtype=tf.int64, name=None)))

So rejection_resample is adding another tf.int64 tensor in the beginning of my data, which I can't find out what is it for. My problem is that this breaks compatibility between the input data and my model, since it depends on the original input tuple.

Furthermore, it also causes an inconsistency between the training and validation data. I was expecting to apply rejection_resample only on training data, but if I do that, the training dataset will have the added tensor, while the validation one won't.

So my question is what is this added tensor to the element spec, and if there is any way to drop an element from the dataset after building it. Thank you.

source https://stackoverflow.com/questions/75356723/tensorflow-data-dataset-rejection-resample-modifies-my-datasets-element-spec

Comments

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

The number of nodes and edges I calculated manually and by a method provided by networkx library dont match

I am trying to analyse a graph using networkx library in Python. I have implemented a function that returns the nodes and edges of that graph. After that I counted the number of nodes and edges by implementing the len() function for nodes and edges, which gave me 17 for both nodes and edges. However, when I used the method graph.number_of_nodes() of networkx library it gave me 53. My code: import pandas as pd import networkx as nx import matplotlib.pyplot as plt header_list = ["a","b","w"] E =pd.read_csv("aves-barn-swallow-contact-network.edges",sep=" ",header= None,names=header_list) # print(E.head()) # prints first few rows of the csv file G = nx.from_pandas_edgelist(E,"a","b",["w"]) nx.draw(G) plt.show() class GraphAnalyse: #finding nodes and edges def nodeEdge(self,Graph): nodes = Graph.nodes() edges = Graph.edges() ...

StacksPedia

Search This Blog