From f2dd151b20d7b938a869882ba53954f9fc7d52c3 Mon Sep 17 00:00:00 2001
From: Yaman Umuroglu <maltanar@gmail.com>
Date: Thu, 26 Mar 2020 16:31:12 +0000
Subject: [PATCH] [Test] simplify cnv-w1a1 HLS conv test by 2nd streamline call
---
tests/fpgadataflow/test_convert_to_hls_layers_cnv.py | 5 +----
1 file changed, 1 insertion(+), 4 deletions(-)
diff --git a/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py b/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py
index c0fec7c42..de358f0aa 100644
--- a/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py
+++ b/tests/fpgadataflow/test_convert_to_hls_layers_cnv.py
@@ -44,7 +44,6 @@ 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
-from finn.transformation.streamline.round_thresholds import RoundAndClipThresholds
import finn.transformation.fpgadataflow.convert_to_hls_layers as to_hls
from finn.transformation.fpgadataflow.codegen_npysim import CodeGen_npysim
from finn.transformation.fpgadataflow.compile import Compile
@@ -68,9 +67,7 @@ def test_convert_to_hls_layers_cnv_w1a1():
model = model.transform(MakeMaxPoolNHWC())
model = model.transform(absorb.AbsorbTransposeIntoMultiThreshold())
model = model.transform(ConvertBipolarMatMulToXnorPopcount())
- model = model.transform(absorb.AbsorbAddIntoMultiThreshold())
- model = model.transform(absorb.AbsorbMulIntoMultiThreshold())
- model = model.transform(RoundAndClipThresholds())
+ model = model.transform(Streamline())
model.save("golden.onnx")
# load one of the test vectors
fn = pk.resource_filename("finn", "data/cifar10/cifar10-test-data-class3.npz")
--
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