Lessorequal operator (#772)

* onnx tests for lessorequal operator

* lessorequal operator implementation

* added test to verify_onnx.cpp

* changes to tests

* formatting

* fixing tidy
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

src/onnx/parse_lessorequal.cpp

+#include <migraphx/onnx/op_parser.hpp>
+#include <migraphx/onnx/checks.hpp>
+#include <migraphx/instruction.hpp>
+#include <migraphx/make_op.hpp>
+
+namespace migraphx {
+inline namespace MIGRAPHX_INLINE_NS {
+namespace onnx {
+
+struct parse_lessorequal : op_parser<parse_lessorequal>
+{
+    std::vector<op_desc> operators() const { return {{"LessOrEqual"}}; }
+
+    instruction_ref parse(const op_desc& /*opd*/,
+                          const onnx_parser& /*parser*/,
+                          const onnx_parser::node_info& info,
+                          std::vector<instruction_ref> args) const
+    {
+        auto int_res = info.add_instruction(make_op("greater"), args[0], args[1]);
+        return info.add_instruction(make_op("not"), int_res);
+    }
+};
+
+} // namespace onnx
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace migraphx

test/onnx/gen_onnx.py

@@ -1293,6 +1293,22 @@ def less_bool_test():
     return ([node1, node2], [x1, x2], [y])
 
 
+@onnx_test
+def lessorequal_test():
+
+    x1 = helper.make_tensor_value_info('x1', TensorProto.FLOAT, [3])
+    x2 = helper.make_tensor_value_info('x2', TensorProto.FLOAT, [3])
+    y = helper.make_tensor_value_info('y', TensorProto.FLOAT, [3])
+
+    node = onnx.helper.make_node(
+        'LessOrEqual',
+        inputs=['x1', 'x2'],
+        outputs=['y'],
+    )
+
+    return ([node], [x1, x2], [y])
+
+
 @onnx_test
 def erf_test():
     x = helper.make_tensor_value_info('x', TensorProto.FLOAT, [10, 15])

test/onnx/lessorequal_test.onnx

+lessorequal_test:a
+
+x1
+x2
y"LessOrEquallessorequal_testZ
+x1
+
+

+Z
+x2
+
+

+b
+
y
+
+

+B
\ No newline at end of file

test/onnx/onnx_test.cpp

@@ -1643,6 +1643,22 @@ TEST_CASE(less_bool_test)
     EXPECT(p == prog);
 }
 
+TEST_CASE(lessorequal_test)
+{
+    migraphx::program p;
+    auto* mm = p.get_main_module();
+
+    auto input1 = mm->add_parameter("x1", migraphx::shape{migraphx::shape::float_type, {3}});
+    auto input2 = mm->add_parameter("x2", migraphx::shape{migraphx::shape::float_type, {3}});
+    auto temp     = mm->add_instruction(migraphx::make_op("greater"), input1, input2);
+    auto le     = mm->add_instruction(migraphx::make_op("not"), temp);
+    
+    mm->add_return({le});
+
+    auto prog = migraphx::parse_onnx("lessorequal_test.onnx");
+    EXPECT(p == prog);
+}
+
 TEST_CASE(log_test)
 {
     migraphx::program p;

test/onnx/verify_onnx.cpp

@@ -146,6 +146,27 @@ TEST_CASE(instance_norm_3d_test)
     EXPECT(migraphx::verify_range(result_vector, gold));
 }
 
+TEST_CASE(lessorequal_test)
+{
+    migraphx::program p = migraphx::parse_onnx("lessorequal_test.onnx");
+    p.compile(migraphx::ref::target{});
+
+    migraphx::shape s{migraphx::shape::float_type, {3}};
+    std::vector<float> data1 = { 0.25, 0.75, 0.9375};
+    std::vector<float> data2 = { 0.25, 0.74, 0.9411};
+
+    migraphx::parameter_map pp;
+    pp["x1"]    = migraphx::argument(s, data1.data());
+    pp["x2"]    = migraphx::argument(s, data2.data());
+
+    auto result = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> gold = {1,0,1};
+    EXPECT(migraphx::verify_range(result_vector, gold));
+}
+
 TEST_CASE(resize_test)
 {
     migraphx::program p = migraphx::parse_onnx("resize_upsample_pf_test.onnx");