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linear-algebra

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hanbaoan123
hanbaoan123 commented Feb 24, 2020

Issue Description

When I run the example cartpole with the default parameters, it can not converge to the max reward 200, I wonder what went wrong.
360截图20200224095510956

Version Information

Please indicate relevant versions, including, if relevant:

  • Deeplearning4j versi

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

  • Updated Jun 22, 2020
  • PHP

Go scientific library for machine learning, linear algebra, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, more.

  • Updated May 13, 2020
  • Go
fredrikbk
fredrikbk commented May 16, 2017

We should have a lowering API that let's us specify which dimensions should be hard-coded in the emitted code. In the taco code generator tool (command-line/web) dimensions should not be hard-coded by default.

In the current C++ API, where an expression is with respect to specific tensors (with immutable dimensions) we should hard-code in all dimension sizes.

However, when we design an API t

callym
callym commented Jul 23, 2018

In the documentation, the sentence A trait representing an affine transformation that can be applied to points or vectors. An affine transformation is one which is cut off. I'm not sure how it's meant to end and don't know enough about what an affine transformation is to fix it, but thought I'd point it out 😄

abeakkas
abeakkas commented Jul 5, 2018

We should add a new argument type for buffers that are used as both input and output. Also documentation for buffer constructor needs to be updated. The code generator should also be modified.

In the CPU code generator that uses Halide there is not difference between input, output and input/output buffers. They are all treated in the same way, but for generating GPU code, we want to be able to

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