| { |
| "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 } } |
| } |
| ] |
| } |
|
|
