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import os
import numpy as np
import sympy as sp
from pystencils import Field, Assignment
from pystencils.kerncraft_coupling import PyStencilsKerncraftKernel, KerncraftParameters
from pystencils.kerncraft_coupling.generate_benchmark import generate_benchmark
from pystencils.cpu import create_kernel
import pytest
from kerncraft.models import ECMData, ECM, Benchmark
from kerncraft.machinemodel import MachineModel
from kerncraft.kernel import KernelCode
SCRIPT_FOLDER = os.path.dirname(os.path.realpath(__file__))
INPUT_FOLDER = os.path.join(SCRIPT_FOLDER, "kerncraft_inputs")
@pytest.mark.kernkraft
def test_compilation():
kernel_file_path = os.path.join(INPUT_FOLDER, "2d-5pt.c")
with open(kernel_file_path) as kernel_file:
reference_kernel = KernelCode(kernel_file.read(), machine=None, filename=kernel_file_path)
reference_kernel.as_code('likwid')
size = [30, 50, 3]
arr = np.zeros(size)
a = Field.create_from_numpy_array('a', arr, index_dimensions=1)
b = Field.create_from_numpy_array('b', arr, index_dimensions=1)
s = sp.Symbol("s")
rhs = a[0, -1](0) + a[0, 1] + a[-1, 0] + a[1, 0]
update_rule = Assignment(b[0, 0], s * rhs)
ast = create_kernel([update_rule])
mine = generate_benchmark(ast, likwid=False)
print(mine)
@pytest.mark.kernkraft
def analysis(kernel, model='ecmdata'):
machine_file_path = os.path.join(INPUT_FOLDER, "default_machine_file.yaml")
machine = MachineModel(path_to_yaml=machine_file_path)
if model == 'ecmdata':
model = ECMData(kernel, machine, KerncraftParameters())
elif model == 'ecm':
model = ECM(kernel, machine, KerncraftParameters())
# model.analyze()
# model.plot()
elif model == 'benchmark':
model = Benchmark(kernel, machine, KerncraftParameters())
else:
model = ECM(kernel, machine, KerncraftParameters())
model.analyze()
return model
@pytest.mark.kernkraft
def test_3d_7pt_iaca():
# Make sure you use the intel compiler
size = [20, 200, 200]
kernel_file_path = os.path.join(INPUT_FOLDER, "3d-7pt.c")
machine_file_path = os.path.join(INPUT_FOLDER, "default_machine_file.yaml")
machine = MachineModel(path_to_yaml=machine_file_path)
with open(kernel_file_path) as kernel_file:
reference_kernel = KernelCode(kernel_file.read(), machine=machine, filename=kernel_file_path)
reference_kernel.set_constant('M', size[0])
reference_kernel.set_constant('N', size[1])
assert size[1] == size[2]
analysis(reference_kernel, model='ecm')
arr = np.zeros(size)
a = Field.create_from_numpy_array('a', arr, index_dimensions=0)
b = Field.create_from_numpy_array('b', arr, index_dimensions=0)
s = sp.Symbol("s")
rhs = a[0, -1, 0] + a[0, 1, 0] + a[-1, 0, 0] + a[1, 0, 0] + a[0, 0, -1] + a[0, 0, 1]
update_rule = Assignment(b[0, 0, 0], s * rhs)
ast = create_kernel([update_rule])
k = PyStencilsKerncraftKernel(ast, machine)
analysis(k, model='ecm')
assert reference_kernel._flops == k._flops
# assert reference.results['cl throughput'] == analysis.results['cl throughput']
@pytest.mark.kernkraft
def test_2d_5pt():
size = [30, 50, 3]
kernel_file_path = os.path.join(INPUT_FOLDER, "2d-5pt.c")
with open(kernel_file_path) as kernel_file:
reference_kernel = KernelCode(kernel_file.read(), machine=None, filename=kernel_file_path)
reference = analysis(reference_kernel)
arr = np.zeros(size)
a = Field.create_from_numpy_array('a', arr, index_dimensions=1)
b = Field.create_from_numpy_array('b', arr, index_dimensions=1)
s = sp.Symbol("s")
rhs = a[0, -1](0) + a[0, 1] + a[-1, 0] + a[1, 0]
update_rule = Assignment(b[0, 0], s * rhs)
ast = create_kernel([update_rule])
k = PyStencilsKerncraftKernel(ast)
result = analysis(k)
for e1, e2 in zip(reference.results['cycles'], result.results['cycles']):
assert e1 == e2
@pytest.mark.kernkraft
def test_3d_7pt():
size = [30, 50, 50]
kernel_file_path = os.path.join(INPUT_FOLDER, "3d-7pt.c")
with open(kernel_file_path) as kernel_file:
reference_kernel = KernelCode(kernel_file.read(), machine=None, filename=kernel_file_path)
reference_kernel.set_constant('M', size[0])
reference_kernel.set_constant('N', size[1])
assert size[1] == size[2]
reference = analysis(reference_kernel)
arr = np.zeros(size)
a = Field.create_from_numpy_array('a', arr, index_dimensions=0)
b = Field.create_from_numpy_array('b', arr, index_dimensions=0)
s = sp.Symbol("s")
rhs = a[0, -1, 0] + a[0, 1, 0] + a[-1, 0, 0] + a[1, 0, 0] + a[0, 0, -1] + a[0, 0, 1]
update_rule = Assignment(b[0, 0, 0], s * rhs)
ast = create_kernel([update_rule])
k = PyStencilsKerncraftKernel(ast)
result = analysis(k)
for e1, e2 in zip(reference.results['cycles'], result.results['cycles']):
assert e1 == e2