# Copyright (c) 2020 Xilinx, Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # * Neither the name of Xilinx nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import pytest import finn.util.create as create from finn.core.datatype import DataType @pytest.mark.parametrize("bitwidth", [DataType.BIPOLAR, DataType.INT2, DataType.INT4]) def test_hls_random_mlp_maker(bitwidth): w = bitwidth a = bitwidth layer_spec = [ { "mw": 185, "mh": 100, "simd": 185, "pe": 100, "idt": DataType.BIPOLAR, "wdt": w, "act": a, }, {"mw": 100, "mh": 100, "simd": 100, "pe": 100, "idt": a, "wdt": w, "act": a}, {"mw": 100, "mh": 100, "simd": 100, "pe": 100, "idt": a, "wdt": w, "act": a}, {"mw": 100, "mh": 100, "simd": 100, "pe": 100, "idt": a, "wdt": w, "act": a}, { "mw": 100, "mh": 1, "simd": 100, "pe": 1, "idt": a, "wdt": w, "act": DataType.BIPOLAR, }, ] ret = create.hls_random_mlp_maker(layer_spec) assert len(ret.graph.node) == 5 # ret.save("mlp-%s.onnx" % str(bitwidth))