repo_id stringlengths 21 96 | file_path stringlengths 31 155 | content stringlengths 1 92.9M | __index_level_0__ int64 0 0 |
|---|---|---|---|
rapidsai_public_repos/ucx-py/ucp | rapidsai_public_repos/ucx-py/ucp/_libs/__init__.py | # Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
# See file LICENSE for terms.
from .utils import nvtx_annotate # noqa
| 0 |
rapidsai_public_repos/ucx-py/ucp | rapidsai_public_repos/ucx-py/ucp/_libs/ucx_request.pyx | # Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
# See file LICENSE for terms.
# cython: language_level=3
from cpython.ref cimport Py_DECREF, Py_INCREF, PyObject
from libc.stdint cimport uintptr_t
from .exceptions import UCXError, UCXMsgTruncated
from .ucx_api_dep cimport *
# Counter used as UCX... | 0 |
rapidsai_public_repos/ucx-py/ucp | rapidsai_public_repos/ucx-py/ucp/_libs/ucx_address.pyx | # Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
# Copyright (c) 2020-2021, UT-Battelle, LLC. All rights reserved.
# See file LICENSE for terms.
# cython: language_level=3
from libc.stdint cimport uintptr_t
from libc.stdlib cimport free
from libc.string cimport memcpy
from .arr cimport Array
from ... | 0 |
rapidsai_public_repos/ucx-py/ucp | rapidsai_public_repos/ucx-py/ucp/_libs/transfer_stream.pyx | # Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
# Copyright (c) 2020 UT-Battelle, LLC. All rights reserved.
# See file LICENSE for terms.
# cython: language_level=3
from libc.stdint cimport uintptr_t
from .arr cimport Array
from .exceptions import (
UCXCanceled,
UCXError,
UCXMsg... | 0 |
rapidsai_public_repos/ucx-py/ucp | rapidsai_public_repos/ucx-py/ucp/_libs/utils.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
# See file LICENSE for terms.
import fcntl
import glob
import os
import socket
import struct
try:
from nvtx import annotate as nvtx_annotate
except ImportError:
# If nvtx module is not installed, `annotate` yields only.
from contextlib import ... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_peer_send_recv.py | import multiprocessing as mp
import os
from itertools import repeat
import pytest
from ucp._libs import ucx_api
from ucp._libs.utils_test import blocking_flush, blocking_recv, blocking_send
mp = mp.get_context("spawn")
def _rma_setup(worker, address, prkey, base, msg_size):
ep = ucx_api.UCXEndpoint.create_from... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_cancel.py | import multiprocessing as mp
import re
import pytest
from ucp._libs import ucx_api
from ucp._libs.arr import Array
from ucp._libs.utils import get_address
from ucp.exceptions import UCXCanceled
mp = mp.get_context("spawn")
WireupMessage = bytearray(b"wireup")
DataMessage = bytearray(b"0" * 10)
def _handler(reques... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_arr.py | import array
import functools
import io
import mmap
import operator
import pytest
from ucp._libs.arr import Array
builtin_buffers = [
b"",
b"abcd",
array.array("i", []),
array.array("i", [0, 1, 2, 3]),
array.array("I", [0, 1, 2, 3]),
array.array("f", []),
array.array("f", [0, 1, 2, 3]),
... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_probe.py | import multiprocessing as mp
import pytest
from ucp._libs import ucx_api
from ucp._libs.utils import get_address
from ucp._libs.utils_test import (
blocking_am_recv,
blocking_am_send,
blocking_recv,
blocking_send,
)
mp = mp.get_context("spawn")
WireupMessage = bytearray(b"wireup")
DataMessage = byte... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_rma.py | import array
import io
import mmap
import os
import pytest
from ucp._libs import ucx_api
from ucp._libs.utils_test import blocking_flush
builtin_buffers = [
b"",
b"abcd",
array.array("i", []),
array.array("i", [0, 1, 2, 3]),
array.array("I", [0, 1, 2, 3]),
array.array("f", []),
array.arra... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_address_object.py | import multiprocessing as mp
import pickle
from ucp._libs import ucx_api
mp = mp.get_context("spawn")
def test_pickle_ucx_address():
ctx = ucx_api.UCXContext()
worker = ucx_api.UCXWorker(ctx)
org_address = worker.get_address()
dumped_address = pickle.dumps(org_address)
org_address_hash = hash(or... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_config.py | import os
import pytest
from ucp._libs import ucx_api
from ucp._libs.arr import Array
from ucp._libs.exceptions import UCXConfigError
def test_get_config():
# Cache user-defined UCX_TLS and unset it to test default value
tls = os.environ.get("UCX_TLS", None)
if tls is not None:
del os.environ["U... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_mem.py | import array
import io
import mmap
import pytest
from ucp._libs import ucx_api
builtin_buffers = [
b"",
b"abcd",
array.array("i", []),
array.array("i", [0, 1, 2, 3]),
array.array("I", [0, 1, 2, 3]),
array.array("f", []),
array.array("f", [0, 1, 2, 3]),
array.array("d", [0, 1, 2, 3]),
... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_endpoint.py | import functools
import multiprocessing as mp
import pytest
from ucp._libs import ucx_api
from ucp._libs.utils import get_address
mp = mp.get_context("spawn")
def _close_callback(closed):
closed[0] = True
def _server(queue, server_close_callback):
"""Server that send received message back to the client
... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_listener.py | from ucp._libs import ucx_api
def test_listener_ip_port():
ctx = ucx_api.UCXContext()
worker = ucx_api.UCXWorker(ctx)
def _listener_handler(conn_request):
pass
listener = ucx_api.UCXListener(worker=worker, port=0, cb_func=_listener_handler)
assert isinstance(listener.ip, str) and listen... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_server_client.py | import multiprocessing as mp
import os
from queue import Empty as QueueIsEmpty
import pytest
from ucp._libs import ucx_api
from ucp._libs.arr import Array
from ucp._libs.utils import get_address
from ucp._libs.utils_test import blocking_recv, blocking_send
mp = mp.get_context("spawn")
def _echo_server(get_queue, p... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/tests/test_server_client_am.py | import multiprocessing as mp
import os
from functools import partial
from queue import Empty as QueueIsEmpty
import numpy as np
import pytest
from ucp._libs import ucx_api
from ucp._libs.arr import Array
from ucp._libs.utils import get_address
from ucp._libs.utils_test import blocking_am_recv, blocking_am_send
mp = ... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/src/c_util.c | /**
* Copyright (c) 2018-2021, NVIDIA CORPORATION. All rights reserved.
* See file LICENSE for terms.
*/
#include "c_util.h"
#include <stdlib.h>
#include <string.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>
int c_util_set_sockaddr(ucs_sock_addr_t *sockaddr, const char *ip_address, uin... | 0 |
rapidsai_public_repos/ucx-py/ucp/_libs | rapidsai_public_repos/ucx-py/ucp/_libs/src/c_util.h | /**
* Copyright (c) 2018-2021, NVIDIA CORPORATION. All rights reserved.
* See file LICENSE for terms.
*/
#include <stdint.h>
#include <sys/socket.h>
#include <ucp/api/ucp.h>
int c_util_set_sockaddr(ucs_sock_addr_t *sockaddr, const char *ip_address, uint16_t port);
void c_util_sockaddr_free(ucs_sock_addr_t *sockad... | 0 |
rapidsai_public_repos/ucx-py/conda | rapidsai_public_repos/ucx-py/conda/environments/builddocs.yml | name: ucx_dev
channels:
- rapidsai
- nvidia
- conda-forge
dependencies:
# required for building docs
- sphinx
- sphinx-markdown-tables
- sphinx_rtd_theme
- sphinxcontrib-websupport
- nbsphinx
- numpydoc
- recommonmark
- pandoc=<2.0.0
- pip
- ucx
- cython
- tomli
| 0 |
rapidsai_public_repos/ucx-py/conda/recipes | rapidsai_public_repos/ucx-py/conda/recipes/ucx-py/conda_build_config.yaml | c_compiler_version:
- 11
cxx_compiler_version:
- 11
ucx:
- "==1.14.*"
| 0 |
rapidsai_public_repos/ucx-py/conda/recipes | rapidsai_public_repos/ucx-py/conda/recipes/ucx-py/meta.yaml | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
{% set data = load_file_data("pyproject.toml") %}
{% set version = environ['RAPIDS_PACKAGE_VERSION'].lstrip('v') %}
{% set py_version = environ['CONDA_PY'] %}
{% set cuda_version = '.'.join(environ['RAPIDS_CUDA_VERSION'].split('.')[:2]) %}
{% set date_string = environ['R... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/bench-all.sh | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION.
set -e
function logger {
echo -e "\n$@\n"
}
# Requires conda installed at /opt/conda and the ucx environment setup
# See UCXPy-CUDA.dockerfile
source /opt/conda/etc/profile.d/conda.sh
conda activate ucx
cd ucx-py/
# Benchmark using command-line provided tran... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/README.md | # Docker container
## Summary
Contains reference dockerfile and build script to run UCX-Py tests and benchmarks. This is a minimal setup, without support for CUDA, MOFED, or rdma-core.
## Building Docker image
To begin, it's necessary to build the image, this is done as follows:
```bash
cd docker
docker build -t u... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/ucx-py-cuda11.5.yml | channels:
- rapidsai
- nvidia
- conda-forge
dependencies:
- python=3.9
- cudatoolkit=11.5
- setuptools
- cython>=0.29.14,<3.0.0a0
- pytest
- pytest-asyncio
- dask
- distributed
- cupy
- numba>=0.57
- rmm
| 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/build-ucx.sh | #!/bin/bash
set -ex
UCX_VERSION_TAG=${1:-"v1.13.0"}
CONDA_HOME=${2:-"/opt/conda"}
CONDA_ENV=${3:-"ucx"}
CUDA_HOME=${4:-"/usr/local/cuda"}
# Send any remaining arguments to configure
CONFIGURE_ARGS=${@:5}
source ${CONDA_HOME}/etc/profile.d/conda.sh
source ${CONDA_HOME}/etc/profile.d/mamba.sh
mamba activate ${CONDA_ENV... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/run.sh | #!/bin/bash
# Copyright (c) 2021, NVIDIA CORPORATION.
set -e
function logger {
echo -e "\n$@\n"
}
PYTHON_PREFIX=$(python -c "import distutils.sysconfig; print(distutils.sysconfig.PREFIX)")
################################################################################
# SETUP - Install python packages and check... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/UCXPy-rdma-core.dockerfile | ARG CUDA_VERSION=11.5.2
ARG DISTRIBUTION_VERSION=ubuntu20.04
FROM nvidia/cuda:${CUDA_VERSION}-devel-${DISTRIBUTION_VERSION}
# Tag to checkout from UCX repository
ARG UCX_VERSION_TAG=v1.13.0
# Where to install conda, and what to name the created environment
ARG CONDA_HOME=/opt/conda
ARG CONDA_ENV=ucx
# Name of conda sp... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/Dockerfile | FROM python:3
RUN apt-get update && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata && \
apt-get install -y \
automake \
dh-make \
g++ \
git \
libcap2 \
libnuma-dev \
libtool \
make \
udev \
wget ... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/build-ucx-py.sh | #!/bin/bash
set -ex
CONDA_HOME=${1:-"/opt/conda"}
CONDA_ENV=${2:-"ucx"}
source ${CONDA_HOME}/etc/profile.d/conda.sh
source ${CONDA_HOME}/etc/profile.d/mamba.sh
mamba activate ${CONDA_ENV}
git clone https://github.com/rapidsai/ucx-py.git
pip install -v ucx-py/
| 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docker/UCXPy-MOFED.dockerfile | ARG CUDA_VERSION=11.5.2
ARG DISTRIBUTION_VERSION=ubuntu20.04
FROM nvidia/cuda:${CUDA_VERSION}-devel-${DISTRIBUTION_VERSION}
# Make available to later build stages
ARG DISTRIBUTION_VERSION
# Should match host OS OFED version (as reported by ofed_info -s)
ARG MOFED_VERSION=5.3-1.0.5.0
# Tag to checkout from UCX reposito... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/docs/Makefile | # Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
SOURCEDIR = source
BUILDDIR = build
# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/quickstart.rst | Quickstart
==========
Setup
-----
Create a new conda environment with UCX-Py:
::
conda create -n ucx -c conda-forge -c rapidsai \
cudatoolkit=<CUDA version> ucx-py
For a more detailed guide on installation options please refer to the :doc:`install` page.
Send/Recv NumPy Arrays
----------------------
P... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/os-limits.rst | Operating System Limits
=======================
UCX can be affected by a variety of limits, not just defined by UCX itself but also by the operating system. In this section we describe some of the limits that may be encountered by the user when running UCX-Py or just UCX alone.
File Descriptors
----------------
In ... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/install.rst | Install
=======
Prerequisites
-------------
UCX depends on the following system libraries being present:
* For system topology identification: ``libnuma`` (``numactl`` on Enterprise Linux)
* For MOFED 4.x support: ``libibcm``, ``libibverbs`` and ``librdmacm``. Ideally installed from `Mellanox OFED Drivers <https://w... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/deployment.rst | NVLink and Docker/Kubernetes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In order to use NVLink when running in containers using Docker and/or
Kubernetes the processes must share an IPC namespace for NVLink to work
correctly.
Many GPUs in one container
^^^^^^^^^^^^^^^^^^^^^^^^^^
The simplest way to ensure that processing accessing... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/glossary.rst | Glossary
--------
- ACK Acknowledge
- am Active Message
- AMO Atomic Memory Operation
- ANL Argonne National Laboratory
- AZP AZure Pipeline
- bcopy Byte copy
- Bistro Binary Instrumentation
- BTL Byte Transfer Layer
- cm Connection Manager
- CMA Cross Memory Attach
- CQ Completion Queue(Infiniband)
- CQE Completion Q... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/send-recv.rst | Send/Recv Internals
===================
Generally UCX creates connections between endpoints with the following steps:
1. Create a ``Listener`` with defined IP address and port
a. ``Listener`` defines a callback function to process communications from endpoints
2. Connect an ``Endpoint`` to the ``Listener``
3. ``End... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/configuration.rst | Configuration
=============
UCX/UCX-Py can be configured with a wide variety of options and optimizations including: transport, caching, etc. Users can configure
UCX/UCX-Py either with environment variables or programmatically during initialization. Below we demonstrate setting ``UCX_MEMTYPE_CACHE`` to
``n`` and che... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/ucx-debug.rst | UCX Debugging
=============
InfiniBand
----------
System Configuration
~~~~~~~~~~~~~~~~~~~~
``ibdev2netdev`` -- check to ensure at least one IB controller is configured for IPoIB
::
user@mlnx:~$ ibdev2netdev
mlx5_0 port 1 ==> ib0 (Up)
mlx5_1 port 1 ==> ib1 (Up)
mlx5_2 port 1 ==> ib2 (Up)
mlx5_... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/transport-monitoring.rst | Monitoring Transports
=====================
Below is a list of commonly used tools and commands to monitor InfiniBand and CUDA IPC messages:
Infiniband
----------
Monitor InfiniBand packet counters -- this number should dramatically increase when there's InfiniBand traffic:
::
watch -n 0.1 'cat /sys/class/inf... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/api.rst | API
===
.. currentmodule:: ucp
**ucp**
.. autosummary::
ucp
ucp.create_listener
ucp.create_endpoint
ucp.get_address
ucp.get_config
ucp.get_ucp_worker
ucp.get_ucx_version
ucp.init
ucp.progress
ucp.reset
**Endpoint**
.. autosummary::
Endpoint
Endpoint.abort
Endpoint.close
En... | 0 |
rapidsai_public_repos/ucx-py/docs | rapidsai_public_repos/ucx-py/docs/source/index.rst | UCX-Py
======
UCX-Py is the Python interface for `UCX <https://github.com/openucx/ucx>`_, a low-level high-performance networking library. UCX and UCX-Py supports several transport methods including InfiniBand and NVLink while still using traditional networking protocols like TCP.
.. image:: _static/Architecture.pn... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/ci/test_python.sh | #!/bin/bash
set -euo pipefail
rapids-logger "Create test conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key test_python \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee env.yaml
rapids-mamba-retry env crea... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/ci/build_python.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
source rapids-env-update
rapids-print-env
version=$(rapids-generate-version)
commit=$(git rev-parse HEAD)
echo "${version}" > VERSION
sed -i "/^__git_commit__/ s/= .*/= \"${commit}\"/g" ucp/_version.py
rapids-logger "Begin py build"
RAPIDS_P... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/ci/build_wheel.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
package_name="ucx-py"
underscore_package_name=$(echo "${package_name}" | tr "-" "_")
source rapids-configure-sccache
source rapids-date-string
version=$(rapids-generate-version)
commit=$(git rev-parse HEAD)
RAPIDS_PY_CUDA_SUFFIX="$(rapids-whee... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/ci/check_style.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create checks conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key checks \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | te... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/ci/test_wheel.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -eoxu pipefail
mkdir -p ./dist
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
RAPIDS_PY_WHEEL_NAME="ucx_py_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist
# echo to expand wildcard before adding `[extra]` requires ... | 0 |
rapidsai_public_repos/ucx-py/ci | rapidsai_public_repos/ucx-py/ci/release/update-version.sh | #!/bin/bash
########################
# ucx-py Version Updater #
########################
## Usage
# bash update-version.sh <new_version>
# Format is Major.Minor.Patch - no leading 'v' or trailing 'a'
# Example: 0.30.00
NEXT_FULL_TAG=$1
# Get current version
CURRENT_TAG=$(git tag | grep -xE 'v[0-9\.]+' | sort --vers... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/test_send_recv_many_workers.py | import asyncio
import multiprocessing
import os
import random
import threading
import cloudpickle
import numpy as np
import pytest
from debug_utils import get_cuda_devices, set_rmm
from utils import recv, send
from distributed.comm.utils import to_frames
from distributed.protocol import to_serialize
import ucp
from ... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/README.md | ## Debug Tests
Files in this directory are useful for debugging purposes and often require being executed in two separate sessions (tmux/ssh/etc).
NOTE: This was moved outside of the tests directory to prevent users running potentially unstable tests by accident.
## Send/Recv
`send.py` and `recv.py` are used to de... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/server.py | import asyncio
import os
import cloudpickle
import pytest
from debug_utils import ITERATIONS, parse_args, set_rmm, start_process
from utils import recv, send
from distributed.comm.utils import to_frames
from distributed.protocol import to_serialize
import ucp
from ucp.utils import get_event_loop
cmd = "nvidia-smi n... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/debug_utils.py | import argparse
import os
import cloudpickle
import cupy
from utils import get_num_gpus
from dask.utils import parse_bytes
import rmm
from rmm.allocators.cupy import rmm_cupy_allocator
ITERATIONS = 100
def set_rmm():
rmm.reinitialize(
pool_allocator=True, managed_memory=False, initial_pool_size=parse_... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/scheduler.sh | #!/bin/bash
set -e
#export UCX_LOG_LEVEL=TRACE
# export UCXPY_LOG_LEVEL=DEBUG
export UCX_MEMTYPE_CACHE=n
export UCX_TLS=tcp,cuda_copy,rc,cuda_ipc
UCX_NET_DEVICES=mlx5_0:1 CUDA_VISIBLE_DEVICES=0 python send.py 2>&1 | tee /tmp/send-log.txt &
| 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/utils.py | import io
import logging
import os
from contextlib import contextmanager
import numpy as np
import pytest
import ucp
normal_env = {
"UCX_RNDV_SCHEME": "put_zcopy",
"UCX_MEMTYPE_CACHE": "n",
"UCX_TLS": "rc,cuda_copy,cuda_ipc",
"CUDA_VISIBLE_DEVICES": "0",
}
def set_env():
os.environ.update(norma... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/test_endpoint_error_callback.py | # This test requires InfiniBand, to run:
# UCXPY_IFNAME=ib0 UCX_NET_DEVICES=mlx5_0:1 \
# UCX_TLS=rc,tcp,cuda_copy \
# py.test --cache-clear tests/debug-tests/test_endpoint_error_callback.py
import asyncio
import multiprocessing
import os
import random
import signal
import sys
import cloudpickle
import pytest
from util... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/client.py | import asyncio
import os
import time
import pynvml
import pytest
from debug_utils import (
ITERATIONS,
parse_args,
set_rmm,
start_process,
total_nvlink_transfer,
)
from utils import recv, send
import ucp
from ucp.utils import get_event_loop
pynvml.nvmlInit()
cmd = "nvidia-smi nvlink --setcontro... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/debug-tests/multi-node-workers.sh | #!/bin/bash
set -e
#export UCX_LOG_LEVEL=DEBUG
#export UCXPY_LOG_LEVEL=DEBUG
export UCX_MEMTYPE_CACHE=n
export UCX_TLS=tcp,cuda_copy,rc
UCX_NET_DEVICES=mlx5_0:1 CUDA_VISIBLE_DEVICES=0 python recv.py 2>&1 | tee /tmp/recv-log-0.txt &
UCX_NET_DEVICES=mlx5_0:1 CUDA_VISIBLE_DEVICES=1 python recv.py 2>&1 | tee /tmp/recv-log... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/examples/cupy-example.py | import asyncio
import time
import cupy
from dask import array as da
from dask_cuda import LocalCUDACluster
from dask_cuda.initialize import initialize
from distributed import Client
enable_tcp_over_ucx = True
enable_infiniband = False
enable_nvlink = False
async def run():
initialize(
create_cuda_conte... | 0 |
rapidsai_public_repos/ucx-py | rapidsai_public_repos/ucx-py/examples/cudf-example.py | import asyncio
import time
from dask_cuda import LocalCUDACluster
from dask_cuda.initialize import initialize
from distributed import Client
import cudf
import dask_cudf
enable_tcp_over_ucx = True
enable_infiniband = False
enable_nvlink = False
async def run():
initialize(
create_cuda_context=True,
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/test-installer/README.md | This repo contains simple scripts to test the install of RAPIDS in a conda environment. | 0 |
rapidsai_public_repos/test-installer/ci | rapidsai_public_repos/test-installer/ci/axis/axis.yml | INSTALLER:
- conda
- mamba
RAPIDS_VER:
- '22.02'
- '22.04'
RAPIDS_CONDA_CHANNEL:
- rapidsai
- rapidsai-nightly
excludes:
- RAPIDS_VER: '22.02'
RAPIDS_CONDA_CHANNEL: rapidsai-nightly
- RAPIDS_VER: '22.04'
RAPIDS_CONDA_CHANNEL: rapidsai | 0 |
rapidsai_public_repos/test-installer/ci | rapidsai_public_repos/test-installer/ci/cpu/build.sh | #!/bin/bash
set -e
export PATH=/opt/conda/bin:/usr/local/cuda/bin:$PATH
export HOME="$WORKSPACE"
. /opt/conda/etc/profile.d/conda.sh
conda config --set ssl_verify False
conda install -y -c gpuci gpuci-tools || conda install -y -c gpuci gpuci-tools
if [[ "$INSTALLER" == "mamba" ]]; then
gpuci_logger "Install ma... | 0 |
rapidsai_public_repos | rapidsai_public_repos/rapids-triton-template/CMakeLists.txt | #=============================================================================
# Copyright (c) 2020-2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://ww... | 0 |
rapidsai_public_repos | rapidsai_public_repos/rapids-triton-template/README.md | <!--
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditi... | 0 |
rapidsai_public_repos | rapidsai_public_repos/rapids-triton-template/Dockerfile | ###########################################################################################
# Arguments for controlling build details
###########################################################################################
# Version of Triton to use
ARG TRITON_VERSION=21.08
# Base container image
ARG BASE_IMAGE=nvcr... | 0 |
rapidsai_public_repos/rapids-triton-template/conda | rapidsai_public_repos/rapids-triton-template/conda/environments/rapids_triton_dev_cuda11.4.yml | ---
name: rapids_triton_dev
channels:
- nvidia
- conda-forge
dependencies:
- cmake>=3.21
- cudatoolkit=11.4
- ninja
- rapidjson
# TODO(template): Add any build dependencies for your backend
| 0 |
rapidsai_public_repos/rapids-triton-template/conda | rapidsai_public_repos/rapids-triton-template/conda/environments/rapids_triton_test.yml | ---
name: rapids_triton_test
channels:
- conda-forge
dependencies:
- flake8
- pip
- python
- pytest
- numpy
- pip:
- nvidia-pyindex
# TODO(template): Add any test dependencies for your tests here
| 0 |
rapidsai_public_repos/rapids-triton-template/cmake | rapidsai_public_repos/rapids-triton-template/cmake/modules/ConfigureCUDA.cmake | #=============================================================================
# Copyright (c) 2018-2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://ww... | 0 |
rapidsai_public_repos/rapids-triton-template/cmake | rapidsai_public_repos/rapids-triton-template/cmake/thirdparty/get_gtest.cmake | #=============================================================================
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apa... | 0 |
rapidsai_public_repos/rapids-triton-template/cmake | rapidsai_public_repos/rapids-triton-template/cmake/thirdparty/get_rapids-triton.cmake | #=============================================================================
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apa... | 0 |
rapidsai_public_repos/rapids-triton-template | rapidsai_public_repos/rapids-triton-template/src/api.cc | /*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/rapids-triton-template | rapidsai_public_repos/rapids-triton-template/src/shared_state.h | /*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/rapids-triton-template | rapidsai_public_repos/rapids-triton-template/src/model.h | /*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/rapids-triton-template | rapidsai_public_repos/rapids-triton-template/src/names.h | /*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/rapids-triton-template/qa | rapidsai_public_repos/rapids-triton-template/qa/L0_e2e/test_model.py | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/rapids-triton-template/qa/L0_e2e/model_repository | rapidsai_public_repos/rapids-triton-template/qa/L0_e2e/model_repository/example/config.pbtxt | # TODO(template): Replace backend name
backend: "REPLACE_ME"
max_batch_size: 32768
# TODO(template): Replace input specifications
input [
{
name: "input__0"
data_type: TYPE_FP32
dims: [ 4 ]
},
{
name: "input__1"
data_type: TYPE_FP32
dims: [ 4 ]
}
]
# TODO(template): Replace output specif... | 0 |
rapidsai_public_repos/rapids-triton-template/qa/L0_e2e/model_repository/example | rapidsai_public_repos/rapids-triton-template/qa/L0_e2e/model_repository/example/1/serialized_model.txt | TODO(template): Replace this with serialized model for your backend
| 0 |
rapidsai_public_repos | rapidsai_public_repos/ptxcompiler/setup.cfg | # COPYRIGHT (c) 2021, NVIDIA CORPORATION.
[versioneer]
VCS = git
style = pep440
versionfile_source = ptxcompiler/_version.py
versionfile_build = ptxcompiler/_version.py
tag_prefix =
parentdir_prefix = ptxcompiler-
| 0 |
rapidsai_public_repos | rapidsai_public_repos/ptxcompiler/README.md | # Static PTX Compiler Python binding and Numba patch
This package provides a Python binding for the `libptxcompiler_static.a` library
and a Numba patch that fixes it to use the static library for compiling PTX
instead of the linker. This enables Numba to support CUDA enhanced
compatibility for scenarios where a single... | 0 |
rapidsai_public_repos | rapidsai_public_repos/ptxcompiler/versioneer.py |
# Version: 0.21
"""The Versioneer - like a rocketeer, but for versions.
The Versioneer
==============
* like a rocketeer, but for versions!
* https://github.com/python-versioneer/python-versioneer
* Brian Warner
* License: Public Domain
* Compatible with: Python 3.6, 3.7, 3.8, 3.9 and pypy3
* [![Latest Version][pyp... | 0 |
rapidsai_public_repos | rapidsai_public_repos/ptxcompiler/MANIFEST.in | include versioneer.py
include ptxcompiler/_version.py
| 0 |
rapidsai_public_repos | rapidsai_public_repos/ptxcompiler/setup.py | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos | rapidsai_public_repos/ptxcompiler/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/patch.py | # Copyright (c) 2021-2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 |
rapidsai_public_repos/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/_version.py |
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... | 0 |
rapidsai_public_repos/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/api.py | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/__init__.py | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/_ptxcompilerlib.cpp | /*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/ptxcompiler/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/tests/test_lib.py | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/ptxcompiler/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/tests/test_patch.py | # Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/ptxcompiler/ptxcompiler | rapidsai_public_repos/ptxcompiler/ptxcompiler/tests/__init__.py | # Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 |
rapidsai_public_repos/ptxcompiler/conda/recipes | rapidsai_public_repos/ptxcompiler/conda/recipes/ptxcompiler/conda_build_config.yaml | c_compiler_version: # [linux]
- 9 # [linux]
cxx_compiler_version: # [linux]
- 9 # [linux]
fortran_compiler_version: # [linux]
- 9 # [linux]
cuda_compiler:
- nvcc
| 0 |
rapidsai_public_repos/ptxcompiler/conda/recipes | rapidsai_public_repos/ptxcompiler/conda/recipes/ptxcompiler/meta.yaml | # Copyright (c) 2021-2023, NVIDIA CORPORATION.
{% set version = environ.get('GIT_DESCRIBE_TAG', '0.0.0.dev').lstrip('v') + environ.get('VERSION_SUFFIX', '') %}
{% set py_version=environ.get('CONDA_PY', 38) %}
{% set cuda_major_minor = ".".join(environ['CUDA_VER'].split(".")[:2]) %}
{% set cuda_major = cuda_major_minor... | 0 |
rapidsai_public_repos | rapidsai_public_repos/jenkins-shared-library/README.md | # jenkins-shared-library
| 0 |
rapidsai_public_repos/jenkins-shared-library | rapidsai_public_repos/jenkins-shared-library/vars/generateStage.groovy | import groovy.transform.Field
@Field final PR_TEST_STAGE = "pr_test"
@Field final NIGHTLY_TEST_STAGE = "nightly_test"
@Field final CUDA_BUILD_STAGE = "cuda_build"
@Field final PYTHON_BUILD_STAGE = "python_build"
def call(stage, Closure steps) {
parallels_config = [
pr_test: [
[label: "driver-495-arm", cu... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cudf/.pre-commit-config.yaml | # Copyright (c) 2019-2022, NVIDIA CORPORATION.
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.3.0
hooks:
- id: trailing-whitespace
exclude: |
(?x)^(
^python/cudf/cudf/tests/data/subword_tokenizer_data/.*
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cudf/pyproject.toml | [tool.black]
line-length = 79
target-version = ["py39"]
include = '\.py?$'
force-exclude = '''
/(
thirdparty |
\.eggs |
\.git |
\.hg |
\.mypy_cache |
\.tox |
\.venv |
_build |
buck-out |
build |
dist
)/
'''
[tool.pydocstyle]
# Due to https://github.com/PyCQA/pydocstyle/issue... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cudf/fetch_rapids.cmake | # =============================================================================
# Copyright (c) 2018-2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apa... | 0 |
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