dpnp
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IntelPython
Data Parallel Extension for NumPy
The PR is aimed to implement support of `dpnp.power` call where one of arguments is a scalar. Currently, since #1201, it raises not-implemented exception in dpnp. This is because dpnp...
The code on the dpnp using gpu or cpu devices is slower that using numpy library. But should be faster. dpnp - Device(level_zero:gpu:0) 540 ms ± 32.8 ms per loop...
https://github.com/samaid/mcpi
Integrated graphics doesn't support `double` data type. `cov` supports only double input and output: https://github.com/IntelPython/dpnp/blob/cfc9b40f97d5cbc3114171728bf96e6f59b74005/dpnp/backend/kernels/dpnp_krnl_statistics.cpp#L1380 `max`, `min`, `mean`, `median`, `var` and `std` supports only double output for integer input: https://github.com/IntelPython/dpnp/blob/cfc9b40f97d5cbc3114171728bf96e6f59b74005/dpnp/backend/kernels/dpnp_krnl_statistics.cpp#L1400
The env scripts for oneDPL set an environment variable called `DPL_ROOT`. The `FindDPL` module in dpnp searches for an environment variable called `DPLROOT` that causes cmake to not locate a...
DPNP documentation says that dpnp.random.choice() function falls back to numpy. https://intelpython.github.io/dpnp/reference/generated/dpnp.random.choice.html#dpnp.random.choice My DPNP example for Game Of Life requires this function to be run on the device.
Since Numpy version 1.17.0 the Generator can be initialized with a number of different BitGenerators. It exposes many different probability distributions. See NEP 19 for context on the updated random...
As a result my PyCharm environment does not see functions and their signatures in codes like this ` import dpnp as np np.random.seed(111) ` Numpy behaves differently, and the following...
I export DPL_ROOT like in README.md file. ``` export DPL_ROOT=$(pwd)/oneDPL/include ``` I try to build and see: ``` CMake Warning (dev) at CMakeLists.txt:294 (find_package): Policy CMP0074 is not set: find_package...
Could you please add the installation guide for Intel DevCloud in README ?
