From acac9f5e838a98b3c1b1c06ddcfa1451eff7a6a7 Mon Sep 17 00:00:00 2001
From: Yaman Umuroglu <maltanar@gmail.com>
Date: Mon, 23 Mar 2020 23:39:40 +0000
Subject: [PATCH] [Test] move cnv hls layer conversion progress
---
tests/fpgadataflow/test_convert_to_hls_layers_cnv.py | 2 ++
1 file changed, 2 insertions(+)
diff --git a/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py b/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py
index 33a3f1926..82f77322f 100644
--- a/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py
+++ b/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py
@@ -43,6 +43,7 @@ from finn.transformation.streamline import Streamline
from finn.util.test import get_test_model_trained
from finn.transformation.double_to_single_float import DoubleToSingleFloat
from finn.transformation.lower_convs_to_matmul import LowerConvsToMatMul
+from finn.transformation.bipolar_to_xnor import ConvertBipolarMatMulToXnorPopcount
export_onnx_path_cnv = "test_output_cnv.onnx"
@@ -70,6 +71,7 @@ def test_convert_to_hls_layers_cnv_w1a1():
model = model.transform(LowerConvsToMatMul())
model = model.transform(MakeMaxPoolNHWC())
model = model.transform(absorb.AbsorbTransposeIntoMultiThreshold())
+ model = model.transform(ConvertBipolarMatMulToXnorPopcount())
model.save("cnv-lower.onnx")
produced_ctx = oxe.execute_onnx(model, input_dict, True)
produced = produced_ctx[model.graph.output[0].name]
--
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