From d9cf7042eccb81d3e1f039fe703713a76f1ca76b Mon Sep 17 00:00:00 2001
From: Yaman Umuroglu <yamanu@xilinx.com>
Date: Wed, 30 Oct 2019 11:11:32 +0000
Subject: [PATCH] [Test] add test_move_scalar_mul_past_matmul
---
tests/test_move_scalar_mul_past_matmul.py | 41 +++++++++++++++++++++++
1 file changed, 41 insertions(+)
create mode 100644 tests/test_move_scalar_mul_past_matmul.py
diff --git a/tests/test_move_scalar_mul_past_matmul.py b/tests/test_move_scalar_mul_past_matmul.py
new file mode 100644
index 000000000..55a7d8cbe
--- /dev/null
+++ b/tests/test_move_scalar_mul_past_matmul.py
@@ -0,0 +1,41 @@
+import numpy as np
+import onnx.helper as oh
+from onnx import TensorProto
+
+import finn.core.onnx_exec as ox
+import finn.transformation.infer_shapes as si
+import finn.transformation.streamline as tx
+from finn.core.modelwrapper import ModelWrapper
+
+
+def test_move_scalar_mul_past_matmul():
+ top_in = oh.make_tensor_value_info("top_in", TensorProto.FLOAT, [1, 2])
+ mul_param = oh.make_tensor_value_info("mul_param", TensorProto.FLOAT, [1, 1])
+ matmul_param = oh.make_tensor_value_info("matmul_param", TensorProto.FLOAT, [2, 2])
+ top_out = oh.make_tensor_value_info("top_out", TensorProto.FLOAT, [1, 2])
+ modelproto = oh.make_model(
+ oh.make_graph(
+ name="test",
+ inputs=[top_in],
+ outputs=[top_out],
+ value_info=[mul_param, matmul_param],
+ nodes=[
+ oh.make_node("Mul", ["top_in", "mul_param"], ["middle"]),
+ oh.make_node("MatMul", ["middle", "matmul_param"], ["top_out"]),
+ ],
+ )
+ )
+ model = ModelWrapper(modelproto)
+ model = model.transform_single(si.infer_shapes)
+ model.set_initializer("mul_param", np.asarray([[3]], dtype=np.float32))
+ model.set_initializer(
+ "matmul_param", np.asarray([[2, 4], [-1, 1]], dtype=np.float32)
+ )
+ new_model = model.transform_repeated(tx.move_scalar_mul_past_matmul)
+ inp_dict = {"top_in": np.asarray([[-1.0, 1.0]], dtype=np.float32)}
+ out_orig = ox.execute_onnx(model, inp_dict)["top_out"]
+ out_transformed = ox.execute_onnx(new_model, inp_dict)["top_out"]
+ assert np.isclose(out_orig, out_transformed).all()
+ assert new_model.graph.node[0].op_type == "MatMul"
+ assert new_model.graph.node[1].op_type == "Mul"
+ assert new_model.graph.node[0].output[0] == new_model.graph.node[1].input[0]
--
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