sandeep-krishnamurthy closed pull request #12424: [MXNET-878] Add
trigonometric operators to onnx
URL: https://github.com/apache/incubator-mxnet/pull/12424
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diff --git a/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
b/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
index af7fedb33cb..0960776251c 100644
--- a/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
+++ b/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
@@ -308,6 +308,126 @@ def convert_tanh(node, **kwargs):
)
return [node]
+@mx_op.register("cos")
+def convert_cos(node, **kwargs):
+ """Map MXNet's cos operator attributes to onnx's Cos operator
+ and return the created node.
+ """
+ helper, _, _ = import_onnx_modules()
+ name = node["name"]
+ inputs = node["inputs"]
+ input_node_idx = kwargs["index_lookup"][inputs[0][0]]
+ proc_nodes = kwargs["proc_nodes"]
+ input_node = proc_nodes[input_node_idx].name
+
+ node = helper.make_node(
+ 'Cos',
+ [input_node],
+ [name],
+ name=name
+ )
+ return [node]
+
+@mx_op.register("sin")
+def convert_sin(node, **kwargs):
+ """Map MXNet's sin operator attributes to onnx's Sin operator
+ and return the created node.
+ """
+ helper, _, _ = import_onnx_modules()
+ name = node["name"]
+ inputs = node["inputs"]
+ input_node_idx = kwargs["index_lookup"][inputs[0][0]]
+ proc_nodes = kwargs["proc_nodes"]
+ input_node = proc_nodes[input_node_idx].name
+
+ node = helper.make_node(
+ 'Sin',
+ [input_node],
+ [name],
+ name=name
+ )
+ return [node]
+
+@mx_op.register("tan")
+def convert_tan(node, **kwargs):
+ """Map MXNet's tan operator attributes to onnx's tan operator
+ and return the created node.
+ """
+ helper, _, _ = import_onnx_modules()
+ name = node["name"]
+ inputs = node["inputs"]
+ input_node_idx = kwargs["index_lookup"][inputs[0][0]]
+ proc_nodes = kwargs["proc_nodes"]
+ input_node = proc_nodes[input_node_idx].name
+
+ node = helper.make_node(
+ 'Tan',
+ [input_node],
+ [name],
+ name=name
+ )
+ return [node]
+
+@mx_op.register("arccos")
+def convert_acos(node, **kwargs):
+ """Map MXNet's acos operator attributes to onnx's acos operator
+ and return the created node.
+ """
+ helper, _, _ = import_onnx_modules()
+ name = node["name"]
+ inputs = node["inputs"]
+ input_node_idx = kwargs["index_lookup"][inputs[0][0]]
+ proc_nodes = kwargs["proc_nodes"]
+ input_node = proc_nodes[input_node_idx].name
+
+ node = helper.make_node(
+ 'Acos',
+ [input_node],
+ [name],
+ name=name
+ )
+ return [node]
+
+@mx_op.register("arcsin")
+def convert_asin(node, **kwargs):
+ """Map MXNet's asin operator attributes to onnx's asin operator
+ and return the created node.
+ """
+ helper, _, _ = import_onnx_modules()
+ name = node["name"]
+ inputs = node["inputs"]
+ input_node_idx = kwargs["index_lookup"][inputs[0][0]]
+ proc_nodes = kwargs["proc_nodes"]
+ input_node = proc_nodes[input_node_idx].name
+
+ node = helper.make_node(
+ 'Asin',
+ [input_node],
+ [name],
+ name=name
+ )
+ return [node]
+
+@mx_op.register("arctan")
+def convert_atan(node, **kwargs):
+ """Map MXNet's atan operator attributes to onnx's atan operator
+ and return the created node.
+ """
+ helper, _, _ = import_onnx_modules()
+ name = node["name"]
+ inputs = node["inputs"]
+ input_node_idx = kwargs["index_lookup"][inputs[0][0]]
+ proc_nodes = kwargs["proc_nodes"]
+ input_node = proc_nodes[input_node_idx].name
+
+ node = helper.make_node(
+ 'Atan',
+ [input_node],
+ [name],
+ name=name
+ )
+ return [node]
+
#Basic neural network functions
@mx_op.register("sigmoid")
def convert_sigmoid(node, **kwargs):
diff --git a/tests/python-pytest/onnx/export/onnx_backend_test.py
b/tests/python-pytest/onnx/export/onnx_backend_test.py
index 1fbfde5977e..19bf6993e7c 100644
--- a/tests/python-pytest/onnx/export/onnx_backend_test.py
+++ b/tests/python-pytest/onnx/export/onnx_backend_test.py
@@ -45,6 +45,12 @@
'test_abs',
'test_sum',
'test_tanh',
+ 'test_cos',
+ 'test_sin',
+ 'test_tan',
+ 'test_acos',
+ 'test_asin',
+ 'test_atan'
'test_ceil',
'test_floor',
'test_concat',
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