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-rw-r--r--model-integration/src/test/models/onnx/add_float16.onnx19
-rwxr-xr-xmodel-integration/src/test/models/onnx/add_float16.py27
-rw-r--r--model-integration/src/test/models/onnx/cast_bfloat16_float.onnx4
-rwxr-xr-xmodel-integration/src/test/models/onnx/cast_bfloat16_float.py2
-rw-r--r--model-integration/src/test/models/onnx/sign_bfloat16.onnx11
-rwxr-xr-xmodel-integration/src/test/models/onnx/sign_bfloat16.py25
6 files changed, 85 insertions, 3 deletions
diff --git a/model-integration/src/test/models/onnx/add_float16.onnx b/model-integration/src/test/models/onnx/add_float16.onnx
new file mode 100644
index 00000000000..df0f7fdcdba
--- /dev/null
+++ b/model-integration/src/test/models/onnx/add_float16.onnx
@@ -0,0 +1,19 @@
+add_float16.py:f
+
+input1
+input2output"AddaddZ
+input1
+
+
+
+Z
+input2
+
+
+
+b
+output
+
+
+
+B \ No newline at end of file
diff --git a/model-integration/src/test/models/onnx/add_float16.py b/model-integration/src/test/models/onnx/add_float16.py
new file mode 100755
index 00000000000..a637cf8b0dd
--- /dev/null
+++ b/model-integration/src/test/models/onnx/add_float16.py
@@ -0,0 +1,27 @@
+# Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+
+import onnx
+from onnx import helper, TensorProto
+
+INPUT_1 = helper.make_tensor_value_info('input1', TensorProto.FLOAT16, [1])
+INPUT_2 = helper.make_tensor_value_info('input2', TensorProto.FLOAT16, [1])
+OUTPUT = helper.make_tensor_value_info('output', TensorProto.FLOAT16, [1])
+
+nodes = [
+ helper.make_node(
+ 'Add',
+ ['input1', 'input2'],
+ ['output'],
+ ),
+]
+graph_def = helper.make_graph(
+ nodes,
+ 'add',
+ [
+ INPUT_1,
+ INPUT_2
+ ],
+ [OUTPUT],
+)
+model_def = helper.make_model(graph_def, producer_name='add_float16.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
+onnx.save(model_def, 'add_float16.onnx')
diff --git a/model-integration/src/test/models/onnx/cast_bfloat16_float.onnx b/model-integration/src/test/models/onnx/cast_bfloat16_float.onnx
index cb19592abf4..9fcbd7f1b3c 100644
--- a/model-integration/src/test/models/onnx/cast_bfloat16_float.onnx
+++ b/model-integration/src/test/models/onnx/cast_bfloat16_float.onnx
@@ -1,4 +1,4 @@
-cast_bfloat16_float.py:U
+cast_bfloat16_float.py:U
!
input1output"Cast*
to castZ
@@ -9,4 +9,4 @@
output

-B \ No newline at end of file
+B \ No newline at end of file
diff --git a/model-integration/src/test/models/onnx/cast_bfloat16_float.py b/model-integration/src/test/models/onnx/cast_bfloat16_float.py
index 51d04747958..952e4c469c1 100755
--- a/model-integration/src/test/models/onnx/cast_bfloat16_float.py
+++ b/model-integration/src/test/models/onnx/cast_bfloat16_float.py
@@ -20,5 +20,5 @@ graph_def = helper.make_graph(
[INPUT_1],
[OUTPUT],
)
-model_def = helper.make_model(graph_def, producer_name='cast_bfloat16_float.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
+model_def = helper.make_model(graph_def, producer_name='cast_bfloat16_float.py', opset_imports=[onnx.OperatorSetIdProto(version=19)])
onnx.save(model_def, 'cast_bfloat16_float.onnx')
diff --git a/model-integration/src/test/models/onnx/sign_bfloat16.onnx b/model-integration/src/test/models/onnx/sign_bfloat16.onnx
new file mode 100644
index 00000000000..176451108ba
--- /dev/null
+++ b/model-integration/src/test/models/onnx/sign_bfloat16.onnx
@@ -0,0 +1,11 @@
+sign_bfloat16.py:J
+
+input1output"SignsignZ
+input1
+
+
+b
+output
+
+
+B \ No newline at end of file
diff --git a/model-integration/src/test/models/onnx/sign_bfloat16.py b/model-integration/src/test/models/onnx/sign_bfloat16.py
new file mode 100755
index 00000000000..b74e48e91c8
--- /dev/null
+++ b/model-integration/src/test/models/onnx/sign_bfloat16.py
@@ -0,0 +1,25 @@
+# Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+
+import onnx
+from onnx import helper, TensorProto
+
+INPUT_1 = helper.make_tensor_value_info('input1', TensorProto.BFLOAT16, [1])
+OUTPUT = helper.make_tensor_value_info('output', TensorProto.BFLOAT16, [1])
+
+nodes = [
+ helper.make_node(
+ 'Sign',
+ ['input1'],
+ ['output'],
+ ),
+]
+graph_def = helper.make_graph(
+ nodes,
+ 'sign',
+ [
+ INPUT_1
+ ],
+ [OUTPUT],
+)
+model_def = helper.make_model(graph_def, producer_name='sign_bfloat16.py', opset_imports=[onnx.OperatorSetIdProto(version=19)])
+onnx.save(model_def, 'sign_bfloat16.onnx')