"""Tests (un)packing (from)to buffers.""" import numpy as np from pystencils import Assignment, Field, FieldType, create_kernel from pystencils.field import create_numpy_array_with_layout, layout_string_to_tuple from pystencils.slicing import ( add_ghost_layers, get_ghost_region_slice, get_slice_before_ghost_layer) from pystencils.stencil import direction_string_to_offset FIELD_SIZES = [(32, 10), (10, 8, 6)] def _generate_fields(dt=np.uint64, num_directions=1, layout='numpy'): field_sizes = FIELD_SIZES if num_directions > 1: field_sizes = [s + (num_directions,) for s in field_sizes] fields = [] for size in field_sizes: field_layout = layout_string_to_tuple(layout, len(size)) src_arr = create_numpy_array_with_layout(size, field_layout) array_data = np.reshape(np.arange(1, int(np.prod(size)+1)), size) # Use flat iterator to input data into the array src_arr.flat = add_ghost_layers(array_data, index_dimensions=1 if num_directions > 1 else 0).astype(dt).flat dst_arr = np.zeros(src_arr.shape, dtype=dt) buffer_arr = np.zeros(np.prod(src_arr.shape), dtype=dt) fields.append((src_arr, dst_arr, buffer_arr)) return fields def test_full_scalar_field(): """Tests fully (un)packing a scalar field (from)to a buffer.""" fields = _generate_fields() for (src_arr, dst_arr, buffer_arr) in fields: src_field = Field.create_from_numpy_array("src_field", src_arr) dst_field = Field.create_from_numpy_array("dst_field", dst_arr) buffer = Field.create_generic("buffer", spatial_dimensions=1, field_type=FieldType.BUFFER, dtype=src_arr.dtype) pack_eqs = [Assignment(buffer.center(), src_field.center())] pack_code = create_kernel(pack_eqs, data_type={'src_field': src_arr.dtype, 'buffer': buffer.dtype}) pack_kernel = pack_code.compile() pack_kernel(buffer=buffer_arr, src_field=src_arr) unpack_eqs = [Assignment(dst_field.center(), buffer.center())] unpack_code = create_kernel(unpack_eqs, data_type={'dst_field': dst_arr.dtype, 'buffer': buffer.dtype}) unpack_kernel = unpack_code.compile() unpack_kernel(dst_field=dst_arr, buffer=buffer_arr) np.testing.assert_equal(src_arr, dst_arr) def test_field_slice(): """Tests (un)packing slices of a scalar field (from)to a buffer.""" fields = _generate_fields() for d in ['N', 'S', 'NW', 'SW', 'TNW', 'B']: for (src_arr, dst_arr, bufferArr) in fields: # Extract slice from N direction of the field slice_dir = direction_string_to_offset(d, dim=len(src_arr.shape)) pack_slice = get_slice_before_ghost_layer(slice_dir) unpack_slice = get_ghost_region_slice(slice_dir) src_field = Field.create_from_numpy_array("src_field", src_arr[pack_slice]) dst_field = Field.create_from_numpy_array("dst_field", dst_arr[unpack_slice]) buffer = Field.create_generic("buffer", spatial_dimensions=1, field_type=FieldType.BUFFER, dtype=src_arr.dtype) pack_eqs = [Assignment(buffer.center(), src_field.center())] pack_code = create_kernel(pack_eqs, data_type={'src_field': src_arr.dtype, 'buffer': buffer.dtype}) pack_kernel = pack_code.compile() pack_kernel(buffer=bufferArr, src_field=src_arr[pack_slice]) # Unpack into ghost layer of dst_field in N direction unpack_eqs = [Assignment(dst_field.center(), buffer.center())] unpack_code = create_kernel(unpack_eqs, data_type={'dst_field': dst_arr.dtype, 'buffer': buffer.dtype}) unpack_kernel = unpack_code.compile() unpack_kernel(buffer=bufferArr, dst_field=dst_arr[unpack_slice]) np.testing.assert_equal(src_arr[pack_slice], dst_arr[unpack_slice]) def test_all_cell_values(): """Tests (un)packing all cell values of the a field (from)to a buffer.""" num_cell_values = 19 fields = _generate_fields(num_directions=num_cell_values) for (src_arr, dst_arr, bufferArr) in fields: src_field = Field.create_from_numpy_array("src_field", src_arr, index_dimensions=1) dst_field = Field.create_from_numpy_array("dst_field", dst_arr, index_dimensions=1) buffer = Field.create_generic("buffer", spatial_dimensions=1, index_dimensions=1, field_type=FieldType.BUFFER, dtype=src_arr.dtype) pack_eqs = [] # Since we are packing all cell values for all cells, then # the buffer index is equivalent to the field index for idx in range(num_cell_values): eq = Assignment(buffer(idx), src_field(idx)) pack_eqs.append(eq) pack_code = create_kernel(pack_eqs, data_type={'src_field': src_arr.dtype, 'buffer': buffer.dtype}) pack_kernel = pack_code.compile() pack_kernel(buffer=bufferArr, src_field=src_arr) unpack_eqs = [] for idx in range(num_cell_values): eq = Assignment(dst_field(idx), buffer(idx)) unpack_eqs.append(eq) unpack_code = create_kernel(unpack_eqs, data_type={'dst_field': dst_arr.dtype, 'buffer': buffer.dtype}) unpack_kernel = unpack_code.compile() unpack_kernel(buffer=bufferArr, dst_field=dst_arr) np.testing.assert_equal(src_arr, dst_arr) def test_subset_cell_values(): """Tests (un)packing a subset of cell values of the a field (from)to a buffer.""" num_cell_values = 19 # Cell indices of the field to be (un)packed (from)to the buffer cell_indices = [1, 5, 7, 8, 10, 12, 13] fields = _generate_fields(num_directions=num_cell_values) for (src_arr, dst_arr, bufferArr) in fields: src_field = Field.create_from_numpy_array("src_field", src_arr, index_dimensions=1) dst_field = Field.create_from_numpy_array("dst_field", dst_arr, index_dimensions=1) buffer = Field.create_generic("buffer", spatial_dimensions=1, index_dimensions=1, field_type=FieldType.BUFFER, dtype=src_arr.dtype) pack_eqs = [] # Since we are packing all cell values for all cells, then # the buffer index is equivalent to the field index for buffer_idx, cell_idx in enumerate(cell_indices): eq = Assignment(buffer(buffer_idx), src_field(cell_idx)) pack_eqs.append(eq) pack_code = create_kernel(pack_eqs, data_type={'src_field': src_arr.dtype, 'buffer': buffer.dtype}) pack_kernel = pack_code.compile() pack_kernel(buffer=bufferArr, src_field=src_arr) unpack_eqs = [] for buffer_idx, cell_idx in enumerate(cell_indices): eq = Assignment(dst_field(cell_idx), buffer(buffer_idx)) unpack_eqs.append(eq) unpack_code = create_kernel(unpack_eqs, data_type={'dst_field': dst_arr.dtype, 'buffer': buffer.dtype}) unpack_kernel = unpack_code.compile() unpack_kernel(buffer=bufferArr, dst_field=dst_arr) mask_arr = np.ma.masked_where((src_arr - dst_arr) != 0, src_arr) np.testing.assert_equal(dst_arr, mask_arr.filled(int(0))) def test_field_layouts(): num_cell_values = 27 for layout_str in ['numpy', 'fzyx', 'zyxf', 'reverse_numpy']: fields = _generate_fields(num_directions=num_cell_values, layout=layout_str) for (src_arr, dst_arr, bufferArr) in fields: src_field = Field.create_from_numpy_array("src_field", src_arr, index_dimensions=1) dst_field = Field.create_from_numpy_array("dst_field", dst_arr, index_dimensions=1) buffer = Field.create_generic("buffer", spatial_dimensions=1, index_dimensions=1, field_type=FieldType.BUFFER, dtype=src_arr.dtype) pack_eqs = [] # Since we are packing all cell values for all cells, then # the buffer index is equivalent to the field index for idx in range(num_cell_values): eq = Assignment(buffer(idx), src_field(idx)) pack_eqs.append(eq) pack_code = create_kernel(pack_eqs, data_type={'src_field': src_arr.dtype, 'buffer': buffer.dtype}) pack_kernel = pack_code.compile() pack_kernel(buffer=bufferArr, src_field=src_arr) unpack_eqs = [] for idx in range(num_cell_values): eq = Assignment(dst_field(idx), buffer(idx)) unpack_eqs.append(eq) unpack_code = create_kernel(unpack_eqs, data_type={'dst_field': dst_arr.dtype, 'buffer': buffer.dtype}) unpack_kernel = unpack_code.compile() unpack_kernel(buffer=bufferArr, dst_field=dst_arr)