1 files changed, 79 insertions, 0 deletions
diff --git a/res/ONNXTests/UNIT_Gemm_000/test.pbtxt b/res/ONNXTests/UNIT_Gemm_000/test.pbtxt
new file mode 100644
index 000000000..6fd497f89
--- /dev/null
+++ b/res/ONNXTests/UNIT_Gemm_000/test.pbtxt
@@ -0,0 +1,79 @@
+# This testcase is compatible with ONNX 1.4.1 or newer
+ir_version: 5
+
+opset_import {
+  version: 7
+}
+
+graph {
+  name: "Gemm_000"
+
+ node {
+    input: "input"
+    input: "weight"
+    input: "bias"
+    output: "output"
+    op_type: "Gemm"
+    attribute {
+      name: "alpha"
+      f: 1.5
+      type: FLOAT
+    }
+    attribute {
+      name: "beta"
+      f: 1.5
+      type: FLOAT
+    }
+    attribute {
+      name: "transA"
+      i: 1
+      type: INT
+    }
+  }
+
+# Initializers generated by python helper script:
+#   a = np.ones((2,2), dtype = np.float32)
+#   onnx.numpy_helper.from_array(a)
+#
+  initializer {
+    dims: 3
+    dims: 2
+    data_type: 1
+    name: "weight"
+    raw_data: "\000\000\200?\000\000\200?\000\000\200?\000\000\200?\000\000\200?\000\000\200?"
+  }
+
+  initializer {
+    dims: 2
+    dims: 2
+    data_type: 1
+    name: "bias"
+    raw_data: "\000\000\200?\000\000\200?\000\000\200?\000\000\200?"
+  }
+
+  input {
+    name: "input"
+    type {
+      tensor_type {
+        elem_type: 1 # FLOAT type
+        shape {
+          dim { dim_value: 3 }
+          dim { dim_value: 2 }
+        }
+      }
+    }
+  }
+
+  output {
+    name: "output"
+    type {
+      tensor_type {
+        elem_type: 1 # FLOAT type
+        shape {
+          dim { dim_value: 2 }
+          dim { dim_value: 2 }
+        }
+      }
+    }
+  }
+}