From 2080ea2e2a8a6853f42e26cbd318704973bd0c05 Mon Sep 17 00:00:00 2001
From: auphelia <jakobapk@web.de>
Date: Wed, 6 Nov 2019 11:35:55 +0000
Subject: [PATCH] [Test] Modified graph shapes and node attributes
---
tests/finn-hls-onnx-model.onnx | 156 ++++++++++++++----------------
tests/test_finn_hls_onnx_graph.py | 81 +++++++---------
2 files changed, 106 insertions(+), 131 deletions(-)
diff --git a/tests/finn-hls-onnx-model.onnx b/tests/finn-hls-onnx-model.onnx
index 883182887..535a87269 100644
--- a/tests/finn-hls-onnx-model.onnx
+++ b/tests/finn-hls-onnx-model.onnx
@@ -1,88 +1,82 @@
-finn-hls-onnx-model:ô
-P
-inpout0"Mem2Stream_Batch*
- DataWidth@ *
-numBytesh *
-numReps
-
-out0 memInStrm"
StreamingNode
-È
+finn-hls-onnx-model:þ
+0
+inp memInStrm memInStrm"FIFO*
+depth€
+°
memInStrm
weights0
-thresh0out1"StreamingFCLayer_Batch*
-L_MH€ *
-L_MWÀ *
-L_PE *
-L_SIMD@ *
-numReps *!
+thresh0out1"StreamingFCLayer_Batch*
+
+MH€ *
+
+MWÀ *
+PE *
+SIMD@ *!
resDataType"Recast<XnorMul> *
resType"ap_resource_lut()
-
-out1inter0"
StreamingNode
-Å
+*
+out1inter0inter0"FIFO*
+depth
+
inter0
weights1
-thresh1out2"StreamingFCLayer_Batch*
-L_MH€ *
-L_MW€ *
-L_PE@ *
-L_SIMD *
-numReps *!
+thresh1out2"StreamingFCLayer_Batch*
+
+MH€ *
+
+MW€ *
+PE@ *
+SIMD *!
resDataType"Recast<XnorMul> *
resType"ap_resource_lut()
-
-out2inter1"
StreamingNode
-Å
+*
+out2inter1inter1"FIFO*
+depth
+
inter1
weights2
-thresh2out3"StreamingFCLayer_Batch*
-L_MH€ *
-L_MW€ *
-L_PE *
-L_SIMD@ *
-numReps *!
+thresh2out3"StreamingFCLayer_Batch*
+
+MH€ *
+
+MW€ *
+PE *
+SIMD@ *!
resDataType"Recast<XnorMul> *
resType"ap_resource_lut()
-
-out3inter2"
StreamingNode
-Ä
+*
+out3inter2inter2"FIFO*
+depth
+¬
inter2
weights3
-thresh3out4"StreamingFCLayer_Batch*
-L_MH@ *
-L_MW€ *
-L_PE *
-L_SIMD *
-numReps *!
+thresh3out4"StreamingFCLayer_Batch*
+MH@ *
+
+MW€ *
+PE *
+SIMD *!
resDataType"Recast<XnorMul> *
resType"ap_resource_lut()
-!
-out4
-memOutStrm"
StreamingNode
-W
-
-memOutStrmoutp"Mem2Stream_Batch*
- DataWidth@ *
-numBytes *
-numReps finn_hls_onnx_graphZ
-inp
-
-
-@b
-outp
-
-
-@j
-out0
+-
+out4outp
+memOutStrm"FIFO*
+depth€ finn_hls_onnx_graphZ
+inp
-
- j
+
+@b
+outp
+
+
+
+@j
memInStrm
-
- j
+
+@j
weights0
@
@@ -98,13 +92,13 @@ memOutStrmoutp"Mem2Stream_Batch*
out1
-
-@j
+
+ j
inter0
-
-@j
+
+ j
weights1
@@ -120,13 +114,13 @@ memOutStrmoutp"Mem2Stream_Batch*
out2
-
- j
+
+@j
inter1
-
- j
+
+@j
weights2
@
@@ -142,13 +136,13 @@ memOutStrmoutp"Mem2Stream_Batch*
out3
-@
-j
+
+ j
inter2
-@
-j
+
+ j
weights3
@@ -160,13 +154,9 @@ memOutStrmoutp"Mem2Stream_Batch*
-j
-out4
-
+j
+out4
+
-@j
-
-memOutStrm
-
@B
\ No newline at end of file
diff --git a/tests/test_finn_hls_onnx_graph.py b/tests/test_finn_hls_onnx_graph.py
index a9ad8da71..3e314bee5 100644
--- a/tests/test_finn_hls_onnx_graph.py
+++ b/tests/test_finn_hls_onnx_graph.py
@@ -4,77 +4,65 @@ from onnx import TensorProto, helper
def test_manually_construct_onnx_graph():
- inp = helper.make_tensor_value_info("inp", TensorProto.FLOAT, [1, 64])
- outp = helper.make_tensor_value_info("outp", TensorProto.FLOAT, [1, 64])
+ inp = helper.make_tensor_value_info("inp", TensorProto.FLOAT, [1, 13, 64])
+ outp = helper.make_tensor_value_info("outp", TensorProto.FLOAT, [1, 1, 64])
- Mem2Stream0_node = helper.make_node(
- "Mem2Stream_Batch", ["inp"], ["out0"], numReps=4, DataWidth=64, numBytes=104
+ memInStrm_node = helper.make_node(
+ "FIFO", ["inp"], ["memInStrm"], "memInStrm", depth=1024
)
- memInStrm_node = helper.make_node("StreamingNode", ["out0"], ["memInStrm"])
FCLayer0_node = helper.make_node(
"StreamingFCLayer_Batch",
["memInStrm", "weights0", "thresh0"],
["out1"],
- numReps=4,
resType="ap_resource_lut()",
- L_MW=832,
- L_MH=1024,
- L_SIMD=64,
- L_PE=32,
+ MW=832,
+ MH=1024,
+ SIMD=64,
+ PE=32,
resDataType="Recast<XnorMul>",
)
- inter0_node = helper.make_node("StreamingNode", ["out1"], ["inter0"])
+ inter0_node = helper.make_node("FIFO", ["out1"], ["inter0"], "inter0", depth=16)
FCLayer1_node = helper.make_node(
"StreamingFCLayer_Batch",
["inter0", "weights1", "thresh1"],
["out2"],
- numReps=4,
resType="ap_resource_lut()",
- L_MW=1024,
- L_MH=1024,
- L_SIMD=32,
- L_PE=64,
+ MW=1024,
+ MH=1024,
+ SIMD=32,
+ PE=64,
resDataType="Recast<XnorMul>",
)
- inter1_node = helper.make_node("StreamingNode", ["out2"], ["inter1"])
+ inter1_node = helper.make_node("FIFO", ["out2"], ["inter1"], "inter1", depth=16)
FCLayer2_node = helper.make_node(
"StreamingFCLayer_Batch",
["inter1", "weights2", "thresh2"],
["out3"],
- numReps=4,
resType="ap_resource_lut()",
- L_MW=1024,
- L_MH=1024,
- L_SIMD=64,
- L_PE=32,
+ MW=1024,
+ MH=1024,
+ SIMD=64,
+ PE=32,
resDataType="Recast<XnorMul>",
)
- inter2_node = helper.make_node("StreamingNode", ["out3"], ["inter2"])
+ inter2_node = helper.make_node("FIFO", ["out3"], ["inter2"], "inter2", depth=8)
FCLayer3_node = helper.make_node(
"StreamingFCLayer_Batch",
["inter2", "weights3", "thresh3"],
["out4"],
- numReps=4,
resType="ap_resource_lut()",
- L_MW=1024,
- L_MH=64,
- L_SIMD=8,
- L_PE=16,
+ MW=1024,
+ MH=64,
+ SIMD=8,
+ PE=16,
resDataType="Recast<XnorMul>",
)
- memOutStrm_node = helper.make_node("StreamingNode", ["out4"], ["memOutStrm"])
- Mem2Stream1_node = helper.make_node(
- "Mem2Stream_Batch",
- ["memOutStrm"],
- ["outp"],
- numReps=4,
- DataWidth=64,
- numBytes=8,
+ memOutStrm_node = helper.make_node(
+ "FIFO", ["out4"], ["outp"], "memOutStrm", depth=1024
)
graph = helper.make_graph(
nodes=[
- Mem2Stream0_node,
memInStrm_node,
FCLayer0_node,
inter0_node,
@@ -84,38 +72,35 @@ def test_manually_construct_onnx_graph():
inter2_node,
FCLayer3_node,
memOutStrm_node,
- Mem2Stream1_node,
],
name="finn_hls_onnx_graph",
inputs=[inp],
outputs=[outp],
value_info=[
- helper.make_tensor_value_info("out0", TensorProto.FLOAT, [1, 32, 32]),
- helper.make_tensor_value_info("memInStrm", TensorProto.FLOAT, [1, 32, 32]),
+ helper.make_tensor_value_info("memInStrm", TensorProto.FLOAT, [1, 13, 64]),
helper.make_tensor_value_info("weights0", TensorProto.FLOAT, [64, 32, 416]),
helper.make_tensor_value_info(
"thresh0", TensorProto.FLOAT, [32, 32, 1, 16, 1]
),
- helper.make_tensor_value_info("out1", TensorProto.FLOAT, [1, 16, 64]),
- helper.make_tensor_value_info("inter0", TensorProto.FLOAT, [1, 16, 64]),
+ helper.make_tensor_value_info("out1", TensorProto.FLOAT, [1, 32, 32]),
+ helper.make_tensor_value_info("inter0", TensorProto.FLOAT, [1, 32, 32]),
helper.make_tensor_value_info("weights1", TensorProto.FLOAT, [32, 64, 512]),
helper.make_tensor_value_info(
"thresh1", TensorProto.FLOAT, [16, 64, 1, 16, 1]
),
- helper.make_tensor_value_info("out2", TensorProto.FLOAT, [1, 32, 32]),
- helper.make_tensor_value_info("inter1", TensorProto.FLOAT, [1, 32, 32]),
+ helper.make_tensor_value_info("out2", TensorProto.FLOAT, [1, 16, 64]),
+ helper.make_tensor_value_info("inter1", TensorProto.FLOAT, [1, 16, 64]),
helper.make_tensor_value_info("weights2", TensorProto.FLOAT, [64, 32, 512]),
helper.make_tensor_value_info(
"thresh2", TensorProto.FLOAT, [32, 32, 1, 16, 1]
),
- helper.make_tensor_value_info("out3", TensorProto.FLOAT, [1, 64, 16]),
- helper.make_tensor_value_info("inter2", TensorProto.FLOAT, [1, 64, 16]),
+ helper.make_tensor_value_info("out3", TensorProto.FLOAT, [1, 32, 32]),
+ helper.make_tensor_value_info("inter2", TensorProto.FLOAT, [1, 32, 32]),
helper.make_tensor_value_info("weights3", TensorProto.FLOAT, [8, 16, 512]),
helper.make_tensor_value_info(
"thresh3", TensorProto.FLOAT, [4, 16, 1, 16, 1]
),
- helper.make_tensor_value_info("out4", TensorProto.FLOAT, [1, 64]),
- helper.make_tensor_value_info("memOutStrm", TensorProto.FLOAT, [1, 64]),
+ helper.make_tensor_value_info("out4", TensorProto.FLOAT, [1, 1, 64]),
],
)
model = helper.make_model(graph, producer_name="finn-hls-onnx-model")
--
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