Comments (1)
Yes, this is intentional. It's sparse storage. The wavenumers in 3D are now computed first as
Ks = np.meshgrid(kx, ky, kz, indexing='ij', sparse=True)
where Ks = [Kx, Ky, Kz], and where Kx has shape (Nx, 1, 1), Ky has shape (1, Ny, 1) and Kz (1, 1, Nz). Each one may then be used as a 3D array by itself, and Numpy will take care of the rest due to broadcasting. Before returning, the arrays are broadcasted manually, though, using
K = [np.broadcast_to(k, self.complex_shape()) for k in Ks]
This does not allocate any data, though, and the storage is still for three 1D arrays, even though K[0].shape now is the same as complex_shape. You can still get the old dense array by taking numpy.array(K). Look at K[0].strides, it's really cool:-)
from mpifft4py.
Related Issues (5)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from mpifft4py.