{
  "op": "ai.onnx.Sign",
  "cases": [
    {
      "name": "int16_scalar_boundaries",
      "inputs": {
        "input": { "dtype": "int16", "shape": [5], "data": { "kind": "values", "values": [-32768, -1, 0, 1, 32767] } }
      },
      "outputs": {
        "output": {
          "dtype": "int16",
          "shape": [5],
          "tolerance": 0,
          "data": { "kind": "values", "values": [-1, -1, 0, 1, 1] }
        }
      }
    },
    {
      "name": "f32_signed_subnormal_sign_gpu_gap",
      "skipGpu": {
        "category": "permanent",
        "reason": "Portable WGSL floating-point semantics do not guarantee preservation of the subnormal values required by this fixture. Backend evidence: WebGPU/Metal flushes subnormals to zero (f32 and f16); the kernel cannot preserve denormal inputs/outputs bit-exactly."
      },
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_float",
        "notes": "Signed subnormal values have nonzero signs; flushing them to zero incorrectly returns 0."
      },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [5],
          "data": { "kind": "values", "values": [-1e-39, -1e-40, 0.0, 1e-40, 1e-39] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [5], "tolerance": 0 } }
    },
    {
      "name": "f32_signed_subnormal_sign_vec4_gpu_gap",
      "skipGpu": {
        "category": "permanent",
        "reason": "Portable WGSL floating-point semantics do not guarantee preservation of the subnormal values required by this fixture. Backend evidence: WebGPU/Metal flushes subnormals to zero (f32 and f16); the kernel cannot preserve denormal inputs/outputs bit-exactly."
      },
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_float",
        "notes": "Vec4 companion for signed subnormal Sign behavior; optimized unary paths must preserve nonzero signs."
      },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [4],
          "data": { "kind": "values", "values": [-1e-40, 0.0, 1e-40, 1e-39] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [4], "tolerance": 0 } }
    },
    {
      "name": "f32_values",
      "provenance": { "source": "onnxruntime/test/providers/cpu/math/sign_test.cc", "test": "MathOpTest.Sign_float" },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [5],
          "data": { "kind": "values", "values": [-2.0, -0.1, 0.0, 0.1, 2.0] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [5] } }
    },
    {
      "name": "f32_zero_and_infinities",
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [6],
          "data": { "kind": "values", "values": ["-Infinity", 0.0, 0.0, 1e-7, -1e-7, "Infinity"] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [6], "tolerance": 0 } }
    },
    {
      "name": "f16_values",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_MLFloat16"
      },
      "inputs": {
        "input": {
          "dtype": "float16",
          "shape": [6],
          "data": { "kind": "values", "values": [-4.0, -0.5, 0.0, 0.0, 0.5, 4.0] }
        }
      },
      "outputs": { "output": { "dtype": "float16", "shape": [6], "tolerance": 0 } }
    },
    {
      "name": "ort_int32_sequence",
      "provenance": { "source": "onnxruntime/test/providers/cpu/math/sign_test.cc", "test": "MathOpTest.Sign_int64" },
      "inputs": {
        "input": { "dtype": "int32", "shape": [7], "data": { "kind": "values", "values": [-5, -4, -3, -2, -1, 0, 1] } }
      },
      "outputs": { "output": { "dtype": "int32", "shape": [7], "tolerance": 0 } }
    },
    {
      "name": "ort_uint32_sequence",
      "provenance": { "source": "onnxruntime/test/providers/cpu/math/sign_test.cc", "test": "MathOpTest.Sign_uint64" },
      "inputs": {
        "input": { "dtype": "uint32", "shape": [7], "data": { "kind": "values", "values": [0, 1, 2, 3, 4, 5, 6] } }
      },
      "outputs": { "output": { "dtype": "uint32", "shape": [7], "tolerance": 0 } }
    },
    {
      "name": "ort_int8_sequence",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_int64",
        "notes": "Uses the same signed integer sequence semantics as MathOpTest.Sign_int64 with logical int8 storage."
      },
      "inputs": {
        "input": { "dtype": "int8", "shape": [7], "data": { "kind": "values", "values": [-5, -4, -3, -2, -1, 0, 1] } }
      },
      "outputs": { "output": { "dtype": "int8", "shape": [7], "tolerance": 0 } }
    },
    {
      "name": "ort_uint8_sequence",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_uint64",
        "notes": "Uses the same unsigned integer sequence semantics as MathOpTest.Sign_uint64 with logical uint8 storage."
      },
      "inputs": {
        "input": { "dtype": "uint8", "shape": [7], "data": { "kind": "values", "values": [0, 1, 2, 3, 4, 5, 6] } }
      },
      "outputs": { "output": { "dtype": "uint8", "shape": [7], "tolerance": 0 } }
    },
    {
      "name": "onnx_backend_float32_range",
      "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_sign" },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [11],
          "data": { "kind": "values", "values": [-5.0, -4.0, -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [11], "tolerance": 0 } }
    },
    {
      "name": "onnx_backend_sign",
      "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_sign" },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [11],
          "data": { "kind": "values", "values": [-5.0, -4.0, -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [11], "tolerance": 0.00001 } }
    },
    {
      "name": "vec4_f32_lanes",
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [8],
          "data": { "kind": "values", "values": [-5.0, -0.1, 0.0, 0.1, 5.0, "-Infinity", "Infinity", 2.0] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [8], "tolerance": 0 } }
    },
    {
      "name": "vec4_f16_lanes",
      "inputs": {
        "input": {
          "dtype": "float16",
          "shape": [8],
          "data": { "kind": "values", "values": [-4.0, -0.5, 0.0, 0.0, 0.5, 4.0, -2.0, 2.0] }
        }
      },
      "outputs": { "output": { "dtype": "float16", "shape": [8], "tolerance": 0 } }
    },
    {
      "name": "vec4_i32_lanes",
      "inputs": {
        "input": { "dtype": "int32", "shape": [8], "data": { "kind": "values", "values": [-5, -1, 0, 1, 5, -2, 2, 0] } }
      },
      "outputs": { "output": { "dtype": "int32", "shape": [8] } }
    },
    {
      "name": "vec4_u32_lanes",
      "inputs": {
        "input": { "dtype": "uint32", "shape": [8], "data": { "kind": "values", "values": [0, 1, 2, 3, 4, 5, 0, 7] } }
      },
      "outputs": { "output": { "dtype": "uint32", "shape": [8] } }
    },
    {
      "name": "vec4_i8_lanes",
      "inputs": {
        "input": {
          "dtype": "int8",
          "shape": [8],
          "data": { "kind": "values", "values": [-128, -5, -1, 0, 1, 5, 100, 127] }
        }
      },
      "outputs": { "output": { "dtype": "int8", "shape": [8] } }
    },
    {
      "name": "vec4_u8_lanes",
      "inputs": {
        "input": {
          "dtype": "uint8",
          "shape": [8],
          "data": { "kind": "values", "values": [0, 1, 2, 3, 128, 200, 254, 255] }
        }
      },
      "outputs": { "output": { "dtype": "uint8", "shape": [8] } }
    },
    {
      "name": "ort_float_nan_preserved",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_float",
        "notes": "Extends the ORT float Sign coverage with ORT CPU-verified NaN preservation."
      },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [4],
          "data": { "kind": "values", "values": ["NaN", "-Infinity", 0.0, "Infinity"] }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [4], "tolerance": 0, "allowNaN": true } }
    },
    {
      "name": "ort_float_nan_preserved_scalar",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/math/sign_test.cc",
        "test": "MathOpTest.Sign_float",
        "notes": "Scalar-path companion for ORT CPU-verified NaN preservation."
      },
      "inputs": {
        "input": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": ["NaN", -2.0, 2.0] } }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [3], "tolerance": 0, "allowNaN": true } }
    },
    {
      "name": "empty_input_zero_dim",
      "inputs": { "input": { "dtype": "float32", "shape": [0], "data": { "kind": "values", "values": [] } } },
      "outputs": { "output": { "dtype": "float32", "shape": [0], "tolerance": 0 } }
    },
    {
      "name": "f32_rank0_scalar",
      "inputs": { "input": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [-3.5] } } },
      "outputs": { "output": { "dtype": "float32", "shape": [], "tolerance": 0 } }
    },
    {
      "name": "f32_rank2_3x5",
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [3, 5],
          "data": {
            "kind": "values",
            "values": [-7.0, -0.5, 0.0, 0.5, 7.0, -1e-7, 1e-7, -100.0, 100.0, 0.0, -2.0, -1.0, 1.0, 2.0, 3.0]
          }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [3, 5], "tolerance": 0 } }
    },
    {
      "name": "f16_rank2_realistic",
      "inputs": {
        "input": {
          "dtype": "float16",
          "shape": [4, 16],
          "data": {
            "kind": "values",
            "values": [-8.0, -4.0, -2.0, -1.0, -0.5, -0.25, -0.125, -0.0625, 0.0, 0.0625, 0.125, 0.25, 0.5, 1.0, 2.0, 4.0, -7.5, -3.5, -1.5, -0.75, -0.375, -0.1875, -0.09375, -0.046875, 0.046875, 0.09375, 0.1875, 0.375, 0.75, 1.5, 3.5, 7.5, 0.0, 0.0, -6.0, 6.0, -5.0, 5.0, -3.0, 3.0, -2.5, 2.5, -1.25, 1.25, -0.625, 0.625, -0.3125, 0.3125, 8.0, -8.0, 4.0, -4.0, 2.0, -2.0, 1.0, -1.0, 0.5, -0.5, 0.25, -0.25, 0.125, -0.125, 0.0625, -0.0625]
          }
        }
      },
      "outputs": { "output": { "dtype": "float16", "shape": [4, 16], "tolerance": 0 } }
    },
    {
      "name": "f16_nan_preserved_scalar_path",
      "inputs": {
        "input": {
          "dtype": "float16",
          "shape": [5],
          "data": { "kind": "values", "values": ["NaN", -2.0, 0.0, 2.0, "NaN"] }
        }
      },
      "outputs": { "output": { "dtype": "float16", "shape": [5], "tolerance": 0, "allowNaN": true } }
    },
    {
      "name": "int8_min_value_sign_scalar_path",
      "inputs": {
        "input": { "dtype": "int8", "shape": [5], "data": { "kind": "values", "values": [-128, -1, 0, 1, 127] } }
      },
      "outputs": { "output": { "dtype": "int8", "shape": [5], "tolerance": 0 } }
    },
    {
      "name": "f32_scalar_tail_4095",
      "provenance": {
        "notes": "Compact sibling for the large f32 Sign scalar-fallback benchmark; odd numel forces the elementwise path while preserving exact sign semantics."
      },
      "inputs": {
        "input": {
          "dtype": "float32",
          "shape": [4095],
          "data": { "kind": "fillFloat32", "sinStep": 0.013, "cosStep": 0.027, "scale": 3.0 }
        }
      },
      "outputs": { "output": { "dtype": "float32", "shape": [4095], "tolerance": 0 } }
    }
  ]
}