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test_native_tensorflow_compilation.py

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  • test_sliced_iteration.py 2.00 KiB
    import numpy as np
    import sympy as sp
    
    from pystencils import Assignment, Field, TypedSymbol, create_kernel, make_slice
    from pystencils.simp import sympy_cse_on_assignment_list
    
    
    def test_sliced_iteration():
        size = (4, 4)
        src_arr = np.ones(size)
        dst_arr = np.zeros_like(src_arr)
        src_field = Field.create_from_numpy_array('src', src_arr)
        dst_field = Field.create_from_numpy_array('dst', dst_arr)
    
        a, b = sp.symbols("a b")
        update_rule = Assignment(dst_field[0, 0],
                                 (a * src_field[0, 1] + a * src_field[0, -1] +
                                  b * src_field[1, 0] + b * src_field[-1, 0]) / 4)
    
        x_end = TypedSymbol("x_end", "int")
        s = make_slice[1:x_end, 1]
        x_end_value = size[1] - 1
        kernel = create_kernel(sympy_cse_on_assignment_list([update_rule]), iteration_slice=s).compile()
    
        kernel(src=src_arr, dst=dst_arr, a=1.0, b=1.0, x_end=x_end_value)
    
        expected_result = np.zeros(size)
        expected_result[1:x_end_value, 1] = 1
        np.testing.assert_almost_equal(expected_result, dst_arr)
    
    
    def test_sliced_iteration_llvm():
        size = (4, 4)
        src_arr = np.ones(size)
        dst_arr = np.zeros_like(src_arr)
        src_field = Field.create_from_numpy_array('src', src_arr)
        dst_field = Field.create_from_numpy_array('dst', dst_arr)
    
        a, b = sp.symbols("a b")
        update_rule = Assignment(dst_field[0, 0],
                                 (a * src_field[0, 1] + a * src_field[0, -1] +
                                  b * src_field[1, 0] + b * src_field[-1, 0]) / 4)
    
        x_end = TypedSymbol("x_end", "int")
        s = make_slice[1:x_end, 1]
        x_end_value = size[1] - 1
        import pystencils.llvm as llvm_generator
        ast = llvm_generator.create_kernel(sympy_cse_on_assignment_list([update_rule]), iteration_slice=s)
        kernel = llvm_generator.make_python_function(ast)
    
        kernel(src=src_arr, dst=dst_arr, a=1.0, b=1.0, x_end=x_end_value)
    
        expected_result = np.zeros(size)
        expected_result[1:x_end_value, 1] = 1
        np.testing.assert_almost_equal(expected_result, dst_arr)