import pytest try: from pystencils.llvm.llvmjit import generate_and_jit from pystencils.llvm import create_kernel, make_python_function from pystencils.cpu.cpujit import get_llc_command from pystencils import Assignment, Field, Target import numpy as np import sympy as sp except ModuleNotFoundError: pytest.importorskip("llvmlite") def test_jacobi_fixed_field_size(): size = (30, 20) src_field_llvm = np.random.rand(*size) src_field_py = np.copy(src_field_llvm) dst_field_llvm = np.zeros(size) dst_field_py = np.zeros(size) f = Field.create_from_numpy_array("f", src_field_llvm) d = Field.create_from_numpy_array("d", dst_field_llvm) jacobi = Assignment(d[0, 0], (f[1, 0] + f[-1, 0] + f[0, 1] + f[0, -1]) / 4) ast = create_kernel([jacobi]) for x in range(1, size[0] - 1): for y in range(1, size[1] - 1): dst_field_py[x, y] = 0.25 * (src_field_py[x - 1, y] + src_field_py[x + 1, y] + src_field_py[x, y - 1] + src_field_py[x, y + 1]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) error = np.sum(np.abs(dst_field_py - dst_field_llvm)) np.testing.assert_almost_equal(error, 0.0) @pytest.mark.skipif(not get_llc_command(), reason="Tests requires llc in $PATH") def test_jacobi_fixed_field_size_gpu(): pytest.importorskip("pycuda") size = (30, 20) import pycuda.autoinit # noqa from pycuda.gpuarray import to_gpu src_field_llvm = np.random.rand(*size) src_field_py = np.copy(src_field_llvm) dst_field_llvm = np.zeros(size) dst_field_py = np.zeros(size) f = Field.create_from_numpy_array("f", src_field_py) d = Field.create_from_numpy_array("d", dst_field_py) src_field_llvm = to_gpu(src_field_llvm) dst_field_llvm = to_gpu(dst_field_llvm) jacobi = Assignment(d[0, 0], (f[1, 0] + f[-1, 0] + f[0, 1] + f[0, -1]) / 4) ast = create_kernel([jacobi], target=Target.GPU) for x in range(1, size[0] - 1): for y in range(1, size[1] - 1): dst_field_py[x, y] = 0.25 * (src_field_py[x - 1, y] + src_field_py[x + 1, y] + src_field_py[x, y - 1] + src_field_py[x, y + 1]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) error = np.sum(np.abs(dst_field_py - dst_field_llvm.get())) np.testing.assert_almost_equal(error, 0.0) def test_jacobi_variable_field_size(): size = (3, 3, 3) f = Field.create_generic("f", 3) d = Field.create_generic("d", 3) jacobi = Assignment(d[0, 0, 0], (f[1, 0, 0] + f[-1, 0, 0] + f[0, 1, 0] + f[0, -1, 0]) / 4) ast = create_kernel([jacobi]) src_field_llvm = np.random.rand(*size) src_field_py = np.copy(src_field_llvm) dst_field_llvm = np.zeros(size) dst_field_py = np.zeros(size) for x in range(1, size[0] - 1): for y in range(1, size[1] - 1): for z in range(1, size[2] - 1): dst_field_py[x, y, z] = 0.25 * (src_field_py[x - 1, y, z] + src_field_py[x + 1, y, z] + src_field_py[x, y - 1, z] + src_field_py[x, y + 1, z]) kernel = make_python_function(ast, {'f': src_field_llvm, 'd': dst_field_llvm}) kernel() error = np.sum(np.abs(dst_field_py - dst_field_llvm)) np.testing.assert_almost_equal(error, 0.0) def test_pow_llvm(): size = (30, 20) src_field_llvm = 4 * np.ones(size) dst_field_llvm = np.zeros(size) f = Field.create_from_numpy_array("f", src_field_llvm) d = Field.create_from_numpy_array("d", dst_field_llvm) ur = Assignment(d[0, 0], sp.Pow(f[0, 0], -1.0)) ast = create_kernel([ur]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert np.all(0.25 == dst_field_llvm) ur = Assignment(d[0, 0], sp.Pow(f[0, 0], 0.5)) ast = create_kernel([ur]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert np.all(2.0 == dst_field_llvm) ur = Assignment(d[0, 0], sp.Pow(f[0, 0], 2.0)) ast = create_kernel([ur]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert np.all(16.0 == dst_field_llvm) ur = Assignment(d[0, 0], sp.Pow(f[0, 0], 3.0)) ast = create_kernel([ur]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert np.all(64.0 == dst_field_llvm) ur = Assignment(d[0, 0], sp.Pow(f[0, 0], 4.0)) ast = create_kernel([ur]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert np.all(256.0 == dst_field_llvm) def test_piecewise_llvm(): size = (30, 20) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.0 f = Field.create_from_numpy_array("f", src_field_llvm) d = Field.create_from_numpy_array("d", dst_field_llvm) picewise_test_strict_less_than = Assignment(d[0, 0], sp.Piecewise((1.0, f[0, 0] > 10), (0.0, True))) ast = create_kernel([picewise_test_strict_less_than]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[:, :] == 0.0)) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.0 picewise_test_less_than = Assignment(d[0, 0], sp.Piecewise((1.0, f[0, 0] >= 10), (0.0, True))) ast = create_kernel([picewise_test_less_than]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[0:15, :] == 1.0)) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.0 picewise_test_strict_greater_than = Assignment(d[0, 0], sp.Piecewise((1.0, f[0, 0] < 5), (0.0, True))) ast = create_kernel([picewise_test_strict_greater_than]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[15:, :] == 1.0)) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.0 picewise_test_greater_than = Assignment(d[0, 0], sp.Piecewise((1.0, f[0, 0] <= 10), (0.0, True))) ast = create_kernel([picewise_test_greater_than]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[:, :] == 1.0)) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.0 picewise_test_equality = Assignment(d[0, 0], sp.Piecewise((1.0, sp.Equality(f[0, 0], 10.0)), (0.0, True))) ast = create_kernel([picewise_test_equality]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[0:15, :] == 1.0)) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.0 picewise_test_unequality = Assignment(d[0, 0], sp.Piecewise((1.0, sp.Unequality(f[0, 0], 10.0)), (0.0, True))) ast = create_kernel([picewise_test_unequality]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[15:, :] == 1.0)) def test_piecewise_or_llvm(): size = (30, 20) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 10.5 f = Field.create_from_numpy_array("f", src_field_llvm) d = Field.create_from_numpy_array("d", dst_field_llvm) picewise_test_or = Assignment(d[0, 0], sp.Piecewise((1.0, sp.Or(f[0, 0] > 11, f[0, 0] < 10)), (0.0, True))) ast = create_kernel([picewise_test_or]) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[0:15, :] == 0.0)) def test_print_function_llvm(): size = (30, 20) src_field_llvm = np.zeros(size) dst_field_llvm = np.zeros(size) src_field_llvm[0:15, :] = 0.0 f = Field.create_from_numpy_array("f", src_field_llvm) d = Field.create_from_numpy_array("d", dst_field_llvm) up = Assignment(d[0, 0], sp.sin(f[0, 0])) ast = create_kernel([up]) # kernel = make_python_function(ast, {'f': src_field_llvm, 'd': dst_field_llvm}) jit = generate_and_jit(ast) jit('kernel', dst_field_llvm, src_field_llvm) assert (np.all(dst_field_llvm[:, :] == 0.0)) if __name__ == "__main__": test_jacobi_fixed_field_size_gpu()