raytroop

raytroop

import tensorflow as tf


# >1
input = [10, 20, 30]

ds = tf.data.Dataset.from_tensor_slices(input)
ds = ds.flat_map(lambda x: tf.data.Dataset.from_tensor_slices([x, x+1, x+2]))
element = ds.make_one_shot_iterator().get_next()

raytroop

raytroop

from itertools import product
import numpy as np

# >1 vanilla method, computing expensive
def vanilla(initial_prob, trans_prob, obs_prob, observations):
    it = list((product([0, 1], repeat=len(observations))))
    it = np.array(it)
    # [[0 0 0 0 0]
    #  [0 0 0 0 1]
    #  [0 0 0 1 0]

raytroop

from queue import deque


class tree:
    def __init__(self, x):
        self.data = x
        self.left = None
        self.right = None

raytroop

it clone https://github.com/opencv/opencv.git
cd opencv
git checkout 3.4.2

mkdir build && cd build

source activate tpt

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D FORCE_VTK=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_CUBLAS=ON -D CUDA_NVCC_FLAGS="-D_FORCE_INLINES --expt-relaxed-constexpr" -D WITH_GDAL=ON -D WITH_XINE=ON -D BUILD_EXAMPLES=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.4.3/modules -DPYTHON3_EXECUTABLE=/home/software/miniconda3/envs/tpt/bin/python3 -DPYTHON_INCLUDE_DIRS=/home/software/miniconda3/envs/tpt/include/python3.6m -DPYTHON_LIBRARIES=/home/software/miniconda3/envs/tpt/lib -DPYTHON3_NUMPY_INCLUDE_DIRS=/home/software/miniconda3/envs/tpt/lib/python3.6/site-packages/numpy/core/include ..

raytroop

"""
explore the relationship among `track_running_stats`, `eval` and `train` mode
"""
import torch
from torch import nn
import numpy as np

torch.manual_seed(42)
torch.cuda.seed_all()
x = torch.randn(20, 1, 32, 32) * 2 + 3  # mu=3, std=2

raytroop

from concurrent.futures import ThreadPoolExecutor

fastai

with ThreadPoolExecutor(num_cpus()) as e:
  ims = e.map(lambda fname: safely_process(fname), fnames)

dl2

raytroop

raytroop