决赛现场脚本
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@@ -1,30 +1,40 @@
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# TN
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```bash
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# qibotn目录下
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I_MPI_FABRICS=shm:ofi \
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I_MPI_OFI_PROVIDER=tcp \
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FI_PROVIDER=tcp \
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# search + contract,Open MPI 多节点:每节点 2 rank,每 rank 绑定 1 个 NUMA。
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# MPI_HOSTS 里每个节点写 :2,MPI_RANKS = 节点数 * 2。
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# 每个 rank 使用 MPI_PE 个 core;这台 2-NUMA AMD 节点用 MPI_PE=128。
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NQUBITS=40 \
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TN_DEBUG_TRIALS=1 \
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SCHEDULER_HOST=10.20.1.100 \
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DASK_ADDRESS=tcp://10.20.1.100:8786 \
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WORKER_HOSTS="10.20.1.100 10.20.1.101 10.20.1.102 10.20.1.103" \
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CASE=main1 \
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OBSERVABLES=long_z_string \
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NQUBITS=34 \
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NLAYERS=20 \
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TORCH_THREADS=48 \
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SEARCH_REPEATS=2048 \
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SEARCH_TIME=300 \
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SCHEDULER_HOST=10.20.1.103 \
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WORKER_HOSTS="10.20.1.103 10.20.6.101" \
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DASK_ADDRESS="tcp://10.20.1.103:8786" \
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NWORKERS=84 \
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NTHREADS=1 \
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MPIEXEC_FULL="mpirun -np 4 -hostfile /home/yx/qibotn/hostfile -perhost 2" \
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TORCH_THREADS=80 \
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MPI_PE=80 \
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MPI_MAP_BY=ppr:1:numa:PE=80 \
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MPI_BIND_TO=core \
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OMP_NUM_THREADS=80 \
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MKL_NUM_THREADS=80 \
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BLIS_NUM_THREADS=80 \
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MPI_HOSTS="node-0:2,node-1:2,node-2:2,node-3:2" \
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MPI_RANKS=8 \
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NWORKERS=96 \
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TN_TARGET_SIZE=17179869184 \
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tools/run_tn_dask_mpi_all.sh
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# 单独缩并contract计算
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I_MPI_FABRICS=shm:ofi \
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I_MPI_OFI_PROVIDER=tcp \
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FI_PROVIDER=tcp \
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mpirun -np 4 -hostfile /home/yx/qibotn/hostfile -perhost 2 \
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mpirun --map-by ppr:1:numa:PE=80 --bind-to core --report-bindings \
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-x LD_PRELOAD=/home/aocc/aocl/5.2.0/aocc/lib_LP64/libblis-mt.so.5 \
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-x BLIS_NUM_THREADS=80 \
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-x OMP_NUM_THREADS=80 \
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-x MKL_NUM_THREADS=80 \
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-x OMP_PROC_BIND=close \
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-x OMP_PLACES=cores \
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-np 8 \
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-host node-0:2,node-1:2,node-2:2,node-3:2 \
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.venv/bin/python -u tools/tn_contest_runner.py contract \
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--mpi \
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--case main1 \
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@@ -32,22 +42,47 @@ mpirun -np 4 -hostfile /home/yx/qibotn/hostfile -perhost 2 \
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--nlayers 20 \
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--observables long_z_string \
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--tree-dir trees/contest_tn \
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--torch-threads 48 \
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--torch-threads 80 \
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--dtype complex64
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```
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# MPS
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```
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cd /home/yx/qibotn
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cd /home/qibo/qibotn
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I_MPI_FABRICS=shm:ofi \
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I_MPI_OFI_PROVIDER=tcp \
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FI_PROVIDER=tcp \
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MPIEXEC_FULL="mpirun -np 4 -hostfile /home/yx/qibotn/hostfile -perhost 2" \
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MPIEXEC=mpirun \
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MPI_HOSTS="node-2:4,node-3:4" \
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MPI_RANKS=8 \
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MPI_PE=48 \
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MPI_MAP_BY=ppr:2:numa:PE=48 \
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MPI_BIND_TO=core \
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MPI_REPORT_BINDINGS=1 \
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TORCH_THREADS=48 \
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OMP_NUM_THREADS=48 \
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MKL_NUM_THREADS=48 \
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BLIS_NUM_THREADS=48 \
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OBS_FILTER=ring_xz \
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MAIN1_NQ=128 \
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MAIN1_LAYERS=24 \
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MAIN1_BOND=1024 \
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tools/run_vidal_mpi_contest_cases.sh main1
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```
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MPIEXEC=mpirun \
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MPI_HOSTS="node-2:4" \
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MPI_RANKS=4 \
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MPI_PE=48 \
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MPI_MAP_BY=ppr:2:numa:PE=48 \
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MPI_BIND_TO=core \
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MPI_REPORT_BINDINGS=1 \
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TORCH_THREADS=48 \
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OMP_NUM_THREADS=48 \
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MKL_NUM_THREADS=48 \
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BLIS_NUM_THREADS=48 \
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OBS_FILTER=ring_xz \
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MAIN1_NQ=128 \
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MAIN1_LAYERS=24 \
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MAIN1_BOND=1024 \
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tools/run_vidal_mpi_contest_cases.sh main1
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```
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42
docs/xianchang.md
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42
docs/xianchang.md
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@@ -0,0 +1,42 @@
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mpirun --map-by ppr:1:numa:PE=80 --bind-to core --report-bindings \
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-x LD_PRELOAD=/home/aocc/aocl/5.2.0/aocc/lib_LP64/libblis-mt.so.5 \
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-x BLIS_NUM_THREADS=80 \
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-x OMP_NUM_THREADS=80 \
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-x MKL_NUM_THREADS=80 \
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-x OMP_PROC_BIND=close \
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-x OMP_PLACES=cores \
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-np 4 \
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-host node-0:2,node-1:2,node-2:2,node-3:2 \
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.venv/bin/python -u tools/tn_contest_runner.py contract \
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--mpi \
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--case main1 \
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--nqubits 34 \
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--nlayers 20 \
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--observables long_z_string \
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--tree-dir trees/contest_tn \
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--torch-threads 80 \
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--dtype complex64
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SEARCH_TIME=300 NQUBITS=40 TN_DEBUG_TRIALS=1 SCHEDULER_HOST=10.20.1.102 DASK_ADDRESS=tcp://10.20.1.102:8786 WORKER_HOSTS="10.20.1.102 10.20.1.103" CASE=main1 OBSERVABLES=long_z_string TORCH_THREADS=80 MPI_PE=80 MPI_MAP_BY=ppr:1:numa:PE=80 MPI_BIND_TO=core OMP_NUM_THREADS=80 MKL_NUM_THREADS=80 BLIS_NUM_THREADS=80 MPI_HOSTS="node-2:2,node-3:2" MPI_RANKS=4 NWORKERS=128 TN_TARGET_SIZE=17179869184 tools/run_tn_dask_mpi_all.sh
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NQUBITS=40 \
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TN_DEBUG_TRIALS=1 \
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SCHEDULER_HOST=10.20.1.102 \
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DASK_ADDRESS=tcp://10.20.1.102:8786 \
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WORKER_HOSTS="10.20.1.102 10.20.1.103" \
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CASE=main1 \
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OBSERVABLES=long_z_string \
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TORCH_THREADS=80 \
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MPI_PE=80 \
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MPI_MAP_BY=ppr:1:numa:PE=80 \
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MPI_BIND_TO=core \
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OMP_NUM_THREADS=80 \
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MKL_NUM_THREADS=80 \
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BLIS_NUM_THREADS=80 \
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MPI_HOSTS="node-2:2,node-3:2" \
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MPI_RANKS=4 \
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NWORKERS=96 \
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TN_TARGET_SIZE=17179869184 \
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tools/run_tn_dask_mpi_all.sh
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