wehub-resource-sync
28558dca80
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Build / Build and test on ubuntu-latest (numpy 1.26) for x86_64 (push) Failing after 0s
58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
# References:
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#
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# http://software.intel.com/en-us/intel-mkl
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# https://github.com/pydata/numexpr/wiki/NumexprMKL
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from __future__ import print_function
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import datetime
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import sys
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from time import time
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import numpy as np
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import numexpr as ne
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N = int(2**28)
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x = np.linspace(0, 1, N)
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y = np.linspace(0, 1, N)
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z = np.empty(N, dtype=np.float64)
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# Our working set is 3 vectors of N doubles each
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working_set_GB = 3 * N * 8 / 2**30
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print("NumPy version: %s" % (np.__version__,))
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t0 = time()
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z = 2*y + 4*x
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t1 = time()
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gbs = working_set_GB / (t1-t0)
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print("Time for an algebraic expression: %.3f s / %.3f GB/s" % (t1-t0, gbs))
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t0 = time()
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z = np.sin(x)**3.2 + np.cos(y)**3.2
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t1 = time()
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gbs = working_set_GB / (t1-t0)
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print("Time for a transcendental expression: %.3f s / %.3f GB/s" % (t1-t0, gbs))
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if ne.use_vml:
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ne.set_vml_num_threads(1)
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ne.set_num_threads(16)
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print("NumExpr version: %s, Using MKL ver. %s, Num threads: %s" % (ne.__version__, ne.get_vml_version(), ne.nthreads))
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else:
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ne.set_num_threads(16)
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print("NumExpr version: %s, Not Using MKL, Num threads: %s" % (ne.__version__, ne.nthreads))
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t0 = time()
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ne.evaluate('2*y + 4*x', out = z)
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t1 = time()
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gbs = working_set_GB / (t1-t0)
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print("Time for an algebraic expression: %.3f s / %.3f GB/s" % (t1-t0, gbs))
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t0 = time()
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ne.evaluate('sin(x)**3.2 + cos(y)**3.2', out = z)
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t1 = time()
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gbs = working_set_GB / (t1-t0)
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print("Time for a transcendental expression: %.3f s / %.3f GB/s" % (t1-t0, gbs))
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