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| #!/usr/bin/env python | |
| from mpi4py import MPI | |
| import numpy as np | |
| import time | |
| comm = MPI.COMM_WORLD | |
| comm_rank = comm.Get_rank() | |
| comm_size = comm.Get_size() | |
| sizes = 16000 | |
| print ("MPI comm_size {}".format(comm_size)) | |
| #define a float16 mpi datatype | |
| mpi_float16 = MPI.BYTE.Create_contiguous(2).Commit() | |
| MPI._typedict['e'] = mpi_float16 | |
| def sum_f16_cb(buffer_a, buffer_b, t): | |
| assert t == mpi_float16 | |
| array_a = np.frombuffer(buffer_a, dtype='float16') | |
| array_b = np.frombuffer(buffer_b, dtype='float16') | |
| array_b += array_a | |
| #create new OP | |
| mpi_sum_f16 = MPI.Op.Create(sum_f16_cb, commute=True) | |
| def perform_test(dtype,op): | |
| start = time.time() | |
| data = np.array([comm_rank] * sizes,dtype=dtype) | |
| all_sum = np.empty_like(data) | |
| comm.Allreduce(data, all_sum, op=op) | |
| x=np.array([data] * sizes,dtype=dtype) | |
| all_all_sum = np.empty_like(x) | |
| comm.Allreduce(x, all_all_sum, op=op) #MPI.SUM) | |
| end = time.time() | |
| return end-start | |
| #float16 test | |
| f16 = perform_test(np.float16,mpi_sum_f16) | |
| #float32 test | |
| f32 = perform_test(np.float32,MPI.SUM) | |
| #float64 test | |
| f64 = perform_test(np.float64,MPI.SUM) | |
| if comm_rank == 0: | |
| print ("f32/f16 {} ".format(f32/f16)) | |
| print ("f64/f16 {} ".format(f64/f16)) | |
| print ("f64/f32 {} ".format(f64/f32)) |
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