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name: py36tf | |
channels: | |
- engility | |
- conda-forge | |
- defaults | |
dependencies: | |
- attrs=18.2.0=py_0 | |
- backcall=0.1.0=py_0 | |
- bleach=3.0.2=py_0 | |
- decorator=4.3.0=py_0 |
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# For Windows users# Note: <> denotes changes to be made | |
#Create a conda environment | |
conda create --name <environment-name> python=<version:2.7/3.5> | |
#To create a requirements.txt file: | |
conda list #Gives you list of packages used for the environment | |
conda list -e > requirements.txt #Save all the info about packages to your folder |
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-0.73481 | 0.46286 | -1 | |
---|---|---|---|
-0.71797 | -0.27961 | -1 | |
-0.36226 | 0.43877 | -1 | |
0.16178 | 0.66627 | -1 | |
0.75976 | 0.93611 | -1 | |
0.47294 | 0.74 | -1 | |
0.45301 | 0.60238 | -1 | |
-0.15869 | -0.48386 | -1 | |
0.35195 | -0.19585 | -1 | |
0.60033 | -0.57328 | -1 |
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-0.71797 | -0.27961 | -1 | |
---|---|---|---|
-0.36226 | 0.43877 | -1 | |
0.16178 | 0.66627 | -1 | |
0.75976 | 0.93611 | -1 | |
0.47294 | 0.74 | -1 | |
0.45301 | 0.60238 | -1 | |
-0.15869 | -0.48386 | -1 | |
0.35195 | -0.19585 | -1 | |
0.60033 | -0.57328 | -1 |
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#include <iostream> | |
#include <iomanip> | |
#include <cstdlib> | |
#include <thrust/device_vector.h> | |
/* | |
* --- Using Thrust vectors in kernel functions --- | |
* This example demonstrates how we can use device vectors (vectors that live | |
* in GPU) as arguments to a kernel launched by the CPU. |
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#include <iomanip> | |
#include <iostream> | |
#include <cstdlib> | |
#include <vector> | |
#include <cuda.h> | |
#include <cudnn.h> | |
#define CUDA_CALL(f) { \ | |
cudaError_t err = (f); \ |
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#include <iostream> | |
#include <vector> | |
#include <string> | |
using std::string; | |
/* | |
These macros define a struct with an implicitly defined Show function that visits each member. | |
The trick is that a typedef is split between each STRUCT_MEMBER instance and the preceding macro, | |
which allows it to define an empty struct type that identifies the following struct member, while also | |
knowing the struct type that the preceding macro is using to identify the current member. |
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#include <cudnn.h> | |
#include <cassert> | |
#include <cstdlib> | |
#include <iostream> | |
#include <opencv2/opencv.hpp> | |
#define checkCUDNN(expression) \ | |
{ \ | |
cudnnStatus_t status = (expression); \ | |
if (status != CUDNN_STATUS_SUCCESS) { \ |
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#!/bin/bash | |
# | |
not_root() { | |
echo "ERROR: You have to be root to execute this script" | |
exit 1 | |
} | |
zram_exists() { | |
echo "ERROR: /etc/init.d/zram already exists" |
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