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https://github.com/SheffieldML/GPy.git
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83 lines
2.4 KiB
Python
83 lines
2.4 KiB
Python
# Copyright (c) 2013-2014, Zhenwen Dai
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# Licensed under the BSD 3-clause license (see LICENSE.txt)
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import numpy as np
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try:
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import subprocess
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class TestMPI:
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def test_BayesianGPLVM_MPI(self):
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code = """
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import numpy as np
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import GPy
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from mpi4py import MPI
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np.random.seed(123456)
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comm = MPI.COMM_WORLD
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N = 100
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x = np.linspace(-6., 6., N)
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y = np.sin(x) + np.random.randn(N) * 0.05
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comm.Bcast(y)
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data = np.vstack([x,y])
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infr = GPy.inference.latent_function_inference.VarDTC_minibatch(mpi_comm=comm)
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m = GPy.models.BayesianGPLVM(data.T,1,mpi_comm=comm)
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m.optimize(max_iters=10)
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if comm.rank==0:
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print float(m.objective_function())
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m.inference_method.mpi_comm=None
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m.mpi_comm=None
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m._trigger_params_changed()
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print float(m.objective_function())
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"""
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with open("mpi_test__.py", "w") as f:
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f.write(code)
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f.close()
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p = subprocess.Popen(
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"mpirun -n 4 python mpi_test__.py", stdout=subprocess.PIPE, shell=True
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)
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(stdout, _stderr) = p.communicate()
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L1 = float(stdout.splitlines()[-2])
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L2 = float(stdout.splitlines()[-1])
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self.assertTrue(np.allclose(L1, L2))
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import os
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os.remove("mpi_test__.py")
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def test_SparseGPRegression_MPI(self):
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code = """
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import numpy as np
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import GPy
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from mpi4py import MPI
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np.random.seed(123456)
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comm = MPI.COMM_WORLD
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N = 100
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x = np.linspace(-6., 6., N)
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y = np.sin(x) + np.random.randn(N) * 0.05
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comm.Bcast(y)
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data = np.vstack([x,y])
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#infr = GPy.inference.latent_function_inference.VarDTC_minibatch(mpi_comm=comm)
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m = GPy.models.SparseGPRegression(data[:1].T,data[1:2].T,mpi_comm=comm)
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m.optimize(max_iters=10)
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if comm.rank==0:
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print float(m.objective_function())
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m.inference_method.mpi_comm=None
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m.mpi_comm=None
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m._trigger_params_changed()
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print float(m.objective_function())
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"""
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with open("mpi_test__.py", "w") as f:
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f.write(code)
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f.close()
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p = subprocess.Popen(
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"mpirun -n 4 python mpi_test__.py", stdout=subprocess.PIPE, shell=True
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)
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(stdout, stderr) = p.communicate()
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L1 = float(stdout.splitlines()[-2])
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L2 = float(stdout.splitlines()[-1])
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assert np.allclose(L1, L2)
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import os
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os.remove("mpi_test__.py")
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except:
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pass
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