Hugging Face's logo

Datasets:
applied-ai-018
/
peacock-data-public-datasets-idc-mint

Dataset card Files
xet
Community
peacock-data-public-datasets-idc-mint
File size: 1,476 Bytes 
45361be
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
 
#!/bin/bash

HOME_DIR="${HOME_DIR:-/launch}";
WORKER_DIR="${WORKER_DIR:-${HOME_DIR}/experiments/hccl_test}";
MODEL_PATH=/hccl_demo;
MPI_ROOT="/opt/amazon/openmpi/";
SYNAPSE_VERSION="${SYNAPSE_VERSION:-1.9.0-738}";
HOSTFILE="${HOSTFILE:-hostfile}";


NUM_NODES=$NUM_NODES;
NGPU_PER_NODE=8;
N_CARDS=$((NUM_NODES*NGPU_PER_NODE));
TIMESTAMP=$(date -d "today" +"%Y"-"%m"-"%d"_"%H"-"%M");


RESULT_DESCRIPTION="${RESULT_DESCRIPTION:-}";
RESULTS_DIR=$WORKER_DIR/results/hccl_demo/$SYNAPSE_VERSION/$RESULT_DESCRIPTION/${N_CARDS}/${TIMESTAMP};
MPILOG_DIR=$RESULTS_DIR/mpi_log

DEBUG="${DEBUG:-False}";
if [ "$DEBUG" = "True" ]; then
        DEBUG_CMD="-x LOG_LEVEL_ALL="3" -x ENABLE_CONSOLE="true"";
fi



cd ${MODEL_PATH}
CMD="python ${MODEL_PATH}/run_hccl_demo.py \
        --test all_reduce \
        --loop 1000 \
        --size 32m \
        -mpi ";

echo CMD ${CMD};

mkdir -p $RESULTS_DIR;
mkdir -p $MPILOG_DIR;
chmod -R a+rx $RESULTS_DIR;
chmod -R a+rx $MPILOG_DIR;

$CMD \
        -np ${N_CARDS} \
        --allow-run-as-root \
        --bind-to core \
        --map-by ppr:4:socket:PE=10 \
        --rank-by core --report-bindings \
        --mca btl_tcp_if_include "eth1" \
        --hostfile $HOSTFILE \
        --tag-output \
        --output-filename $MPILOG_DIR \
        --merge-stderr-to-stdout --prefix $MPI_ROOT \
        -x PYTHONPATH="/usr/lib/habanalabs/:$PYTHONPATH" \
        -x MAX_WAIT_ATTEMPTS=180 \
        $DEBUG_CMD \
        &> $RESULTS_DIR/run.log ;