riga

body.rise-enabled div.prompt_container {
    background-color: red !important;
}

div#notebook {
    background-color: green !important;
}

riga

# coding: utf-8

"""
Command to run the tasks:
luigi --module progress_tasks TaskB --workers 2
"""

import time
import luigi

riga

# coding: utf-8


import time

import law


def test_htcondor():
    # load the htcondor contrib package, making all exported objects available under law.htcondor

riga

/*
 * Performance test of the DeepJet model with both TensorFlow and ONNXRuntime.
 * Place this file into a cmssw test directory and add the following to the BuildFile.xml:
 *
 * <bin name="testTFDeepJetPerformance" file="testRunner.cpp,testDeepJetPerformance.cc">
 *     <use name="cppunit" />
 *     <use name="FWCore/Utilities" />
 *     <use name="PhysicsTools/TensorFlow" />
 *     <use name="PhysicsTools/ONNXRuntime" />
 * </bin>

riga

// custom TensorFlow ThreadPool implementations for CMSSW

#include "tensorflow/core/lib/core/threadpool.h"

#include "tbb/task_arena.h"
#include "tbb/task_group.h"

// thread pool that schedules all tasks within the caller thread
class NoThreadPoolImpl : public tensorflow::thread::ThreadPoolInterface {
public:

riga

# coding: utf-8


import sys
import gc
import ctypes


# configuration of Py_IncRef and Py_DecRef
_c_inc_ref = ctypes.pythonapi.Py_IncRef

riga

# coding: utf-8

"""
This example demonstrates the usage of the LBN different approaches:
  - TF eager mode
  - TF AutoGraph
  - Keras model / layer
"""

import numpy as np

riga

action() {
    local base="$( /bin/pwd )"

    git clone https://github.com/cms-sw/pkgtools.git
    git clone --single-branch --branch tf-2.0 https://github.com/riga/cmsdist.git

    ./pkgtools/cmsBuild -i tf-2.0 -c cmsdist/ --repository cms.week0 --arch slc7_amd64_gcc820 -j 10 build cmssw-tool-conf --no-cleanup

    export SCRAM_ARCH="slc7_amd64_gcc820"
    export CMSSW_VERSION="CMSSW_11_0_0_pre12"

riga

# coding: utf-8


import os
import tensorflow as tf


def read_constant_graph(graph_path, create_session=True, as_text=False):
    graph = tf.Graph()
    with graph.as_default():

riga

# coding: utf-8


import os


def fwlite_loop(path, handle_data=None, start=0, end=-1, object_type="Event"):
    """
    Opens one or more ROOT files defined by *path* and yields the FWLite event. When *handle_data*
    is not *None*, it is supposed to be a dictionary ``key -> {"type": ..., "label": ...}``. In that