"""Test file for float subgraph fusing""" from inspect import signature import numpy import pytest from hdk.common.data_types.integers import Integer from hdk.common.data_types.values import EncryptedValue from hdk.common.optimization.topological import fuse_float_operations from hdk.hnumpy.tracing import trace_numpy_function def no_fuse(x): """No fuse""" return x + 2 def no_fuse_unhandled(x, y): """No fuse unhandled""" x_1 = x + 0.7 y_1 = y + 1.3 intermediate = x_1 + y_1 return intermediate.astype(numpy.int32) def simple_fuse_not_output(x): """Simple fuse not output""" intermediate = x.astype(numpy.float64) intermediate = intermediate.astype(numpy.int32) return intermediate + 2 def simple_fuse_output(x): """Simple fuse output""" return x.astype(numpy.float64).astype(numpy.int32) def complex_fuse_indirect_input(x, y): """Complex fuse""" intermediate = x + y intermediate = intermediate + 2 intermediate = intermediate.astype(numpy.float32) intermediate = intermediate.astype(numpy.int32) x_p_1 = intermediate + 1.5 x_p_2 = intermediate + 2.7 x_p_3 = numpy.rint(x_p_1 + x_p_2) return ( x_p_3.astype(numpy.int32), x_p_2.astype(numpy.int32), (x_p_2 + 3).astype(numpy.int32), x_p_3.astype(numpy.int32) + 67, y, (y + 4.7).astype(numpy.int32) + 3, ) def complex_fuse_direct_input(x, y): """Complex fuse""" x_p_1 = x + 1.5 x_p_2 = x + 2.7 x_p_3 = numpy.rint(x_p_1 + x_p_2) return ( x_p_3.astype(numpy.int32), x_p_2.astype(numpy.int32), (x_p_2 + 3).astype(numpy.int32), x_p_3.astype(numpy.int32) + 67, y, (y + 4.7).astype(numpy.int32) + 3, ) @pytest.mark.parametrize( "function_to_trace,fused", [ pytest.param(no_fuse, False, id="no_fuse"), pytest.param(no_fuse_unhandled, False, id="no_fuse_unhandled"), pytest.param(simple_fuse_not_output, True, id="no_fuse"), pytest.param(simple_fuse_output, True, id="no_fuse"), pytest.param(complex_fuse_indirect_input, True, id="complex_fuse_indirect_input"), pytest.param(complex_fuse_direct_input, True, id="complex_fuse_direct_input"), ], ) @pytest.mark.parametrize("input_", [0, 2, 42, 44]) def test_fuse_float_operations(function_to_trace, fused, input_): """Test function for fuse_float_operations""" params_names = signature(function_to_trace).parameters.keys() op_graph = trace_numpy_function( function_to_trace, {param_name: EncryptedValue(Integer(32, True)) for param_name in params_names}, ) orig_num_nodes = len(op_graph.graph) fuse_float_operations(op_graph) fused_num_nodes = len(op_graph.graph) if fused: assert fused_num_nodes < orig_num_nodes else: assert fused_num_nodes == orig_num_nodes input_ = numpy.int32(input_) num_params = len(params_names) inputs = (input_,) * num_params assert function_to_trace(*inputs) == op_graph(*inputs)