kunalghosh

import gpytorch
import numpy as np
import joblib
from pathlib import Path
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error


class ExactGPModel(gpytorch.models.ExactGP):
    def __init__(self, train_x, train_y, likelihood):

kunalghosh

#Define network
  6 class Net(nn.Module):
  7         def __init__(self, output_spectra_length):
  8                 super(Net, self).__init__()
  9                 self.conv1_1 = nn.Conv2d(1, 22, 3, padding=1)
 10                 self.conv1_2 = nn.Conv2d(22, 22, 3, padding=1)
 11                 self.conv1_3 = nn.Conv2d(22, 22, 3, padding=1)
 12                 self.conv2_1 = nn.Conv2d(22, 47, 3, padding=1)
 13                 self.conv2_2 = nn.Conv2d(47, 47, 3, padding=1)
 14                 self.conv2_3 = nn.Conv2d(47, 47, 3, padding=1)

kunalghosh

(tensorflow-env) [ghoshk1@x86_64-conda_cos6-linux-gnu]/scratch/work/ghoshk1/SWAVI_tfp/Linear_Regression_QMC% python plot_K_hat_vs_D_fr_swa.py
2020-01-17 17:18:42.228790: I tensorflow/core/platform/profile_utils/cpu_utils.cc:101] CPU Frequency: 2793045000 Hz
2020-01-17 17:18:42.229921: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x561889248eb0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-01-17 17:18:42.229970: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
Traceback (most recent call last):
  File "plot_K_hat_vs_D_fr_swa.py", line 148, in <module>
    init, max_iterations=1000)
  File "/home/ghoshk1/.local/lib/python3.6/site-packages/tensorflow_probability/python/optimizer/lbfgs.py", line 260, in minimize
    parallel_iterations=parallel_iterations)[0]
  File "/home/ghoshk1/.local/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 574, in new_func

kunalghosh

import torch
import torch.nn as nn
from torch.distributions import transforms


class Param(nn.Module):
    def __init__(self, var, transform=transforms.identity_transform):
        super(Param).__init__(self, var)
        self.transform = transform
        self.var_ = var

kunalghosh

Homebrew
Emacs
Spacemacs
anaconda

# for matplotlib backend
brew install pyqt
conda install pyqt5

# for spell check in spacemacs

kunalghosh

kunalghosh

clear all;
format long;
load('Mug32_singlepixcam.mat'); lambda=0.05;%lambda = 1.0e-010;
[N,d] = size(A);
A_org=A;y_org=y;lambda_org=lambda;
% Choose # of parallel updates. get_Popt()
% x = rand(d,1);
x_org = zeros(d,1);
condition = true;
%non normalised function

kunalghosh

        .loc 4 126 0 is_stmt 1
        vxorps  %xmm15, %xmm15, %xmm15  # tmp488
.LBE2494:
.LBE2493:
.LBE2492:
.LBB2523:
        .loc 4 219 0
        vmulps  (%rax), %ymm14, %ymm0   # MEM[base: _709, offset: 0B], D.85250, D.85242
.LBE2523:
.LBB2524:

kunalghosh

import theano
theano.config.floatX = 'float32'
import theano.tensor as T
import math
import time
import sys
import os

import numpy as np

kunalghosh

#include "cp.h"
#include <vector>
#include <algorithm>
#include <cmath>
#include <iterator>


void correlate(int ny, int nx, const float* data, float* result) {
	int row1=0;
    int res_row,res_col;