Kushashwa Ravi Shrimali krshrimali

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Visualizing rectangular 2D arrays in Python and Matplotlib the way you do with Matlab’s imagesc

Say you have a very rectangular 2D array arr, whose columns and rows correspond to very specific sampling locations x and y. That is, the arr[i, j] entry corresponds to some measurement taken at x[j] and y[i].

Matlab’s imagesc shows you this quite meaningfully:

x = linspace(-100, -10, 10);
y = [-8 -3];
data = randn(numel(y), numel(x));

PyTorch C++ API Ubuntu Installation Guide

The best way to get a clean installation of PyTorch, is to install the pre-compiled binaries from the Anaconda distribution. Therefore, we need to setup Anaconda first.

Step 1: Install Anaconda

Go to the download section and download your desired Anaconda version for Linux

Run the downloaded shell script and follow the install instruction, do

	CC = g++
	CFLAGS = -g -Wall
	SRCS = HelloWorld.cpp
	PROG = HelloWorld

	OPENCV = `pkg-config opencv --cflags --libs`
	LIBS = $(OPENCV)

	$(PROG):$(SRCS)
	$(CC) $(CFLAGS) -o $(PROG) $(SRCS) $(LIBS)

	import itertools
	from typing import Collection

	import networkx as nx

	# overwrite this with the array API that you want to test
	import numpy as array_api


	def maybe_add_dtype(