| { |
| "cases": [ |
| { |
| "name": "f32_values", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "values", "values": [-3.0, -1.0, 0.0, 0.5, 1.0, 3.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [6], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "large_inputs_no_nan", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "values", "values": [50.0, 100.0, 200.0, -100.0, 3.0, -3.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [6], "tolerance": 0.001 } } |
| }, |
| { |
| "name": "f32_extreme_finite_tail_and_saturation", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [9], |
| "data": { "kind": "values", "values": [-80.0, -40.0, -20.0, -10.0, 0.0, 10.0, 20.0, 40.0, 80.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [9], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "f32_negative_tail_preserves_tiny_values", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "Focused tail-stability extension of the ONNX Mish sweep: log1p-style softplus should preserve tiny finite negative outputs instead of rounding the softplus term to zero." |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [-19.0, -18.0, -17.0, -16.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4], "tolerance": 1e-10 } } |
| }, |
| { |
| "name": "f32_negative_tail_scalar_preserves_tiny_values", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "A non-multiple-of-four shape exercises log1p-style softplus on the scalar path for tiny finite negative-tail outputs." |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [-19.0, -18.0, -17.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3], "tolerance": 1e-10 } } |
| }, |
| { |
| "name": "f32_extreme_negative_tail_subnormal_softplus_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": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "Extreme negative Mish inputs depend on a subnormal softplus tail; after multiplying by x, the result can still be a meaningful finite value." |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [-80.0, -88.0, -90.0, -80.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4], "tolerance": 1e-44, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "f32_extreme_negative_tail_subnormal_softplus_scalar_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": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "On the scalar path, Mish inputs with a subnormal softplus term must still produce the finite expected product." |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [-80.0, -88.0, -90.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3], "tolerance": 1e-44, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "f32_rank2_mixed_tail_values", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "Mixed activation tensor with normal values and large negative tail values; stable softplus must preserve the small finite tail entries." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [-19.0, -2.0, 0.0, 2.0, -18.0, 4.0, -17.0, 8.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 4], "tolerance": 1e-10 } } |
| }, |
| { |
| "name": "f32_nan_propagates", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [5], |
| "data": { "kind": "values", "values": ["NaN", -2.0, 0.0, 2.0, "NaN"] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [5], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "f32_nonfinite_endpoints", |
| "provenance": { |
| "notes": "Nonfinite edge: -Infinity follows the literal formula into NaN, +Infinity stays +Infinity." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "values", "values": ["-Infinity", -1.0, 0.0, 1.0, "Infinity", "NaN"] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [6], "tolerance": 0.000001, "allowNaN": true } } |
| }, |
| { |
| "name": "rank0_scalar", |
| "inputs": { "x": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [-2.0] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "rank0_large_positive_scalar", |
| "inputs": { "x": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [80.0] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "f16_values", |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "values", "values": [-5.0, -1.0, 0.0, 1.0, 5.0, 10.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [6], "tolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_extreme_finite_tail_and_saturation", |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [7], |
| "data": { "kind": "values", "values": [-16.0, -12.0, -8.0, 0.0, 8.0, 12.0, 16.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [7], "tolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_negative_tail_preserves_subnormals", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "Float16 projection of the Mish negative-tail stability edge: log1p-style softplus keeps representable subnormal outputs for large negative inputs." |
| }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [4], "data": { "kind": "values", "values": [-19.0, -18.0, -17.0, -16.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [4], "tolerance": 1e-7 } } |
| }, |
| { |
| "name": "f16_negative_tail_scalar_preserves_subnormals", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "Scalar-path float16 projection of the Mish negative-tail stability edge." |
| }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [3], "data": { "kind": "values", "values": [-18.0, -17.0, -16.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [3], "tolerance": 1e-7 } } |
| }, |
| { |
| "name": "onnx_backend_empty_rank3", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/case/node/mish.py", |
| "test": "Mish.export", |
| "notes": "Elementwise empty tensor edge: preserve a zero middle dimension without reading input data." |
| }, |
| "inputs": { "x": { "dtype": "float32", "shape": [2, 0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 0, 3] } } |
| }, |
| { |
| "name": "onnx_backend_expanded_rank3_f16", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish_expanded", |
| "test": "test_mish_expanded", |
| "notes": "Compact float16 rank-3 projection of the ONNX expanded Mish formula." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 4], |
| "data": { "kind": "values", "values": [-12.0, -4.0, -1.0, 0.0, 0.5, 1.0, 4.0, 12.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 4], "tolerance": 0.002 } } |
| }, |
| { |
| "name": "onnx_backend_linspace_sweep", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_mish", |
| "test": "test_mish", |
| "notes": "Official ONNX backend Mish sweep from -10 to 10 represented with a compact linspace generator." |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [10000], "data": { "kind": "linspace", "start": -10.0, "end": 10.0 } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [10000], "tolerance": 0.000003 } } |
| }, |
| { |
| "name": "softplus_branch_boundary", |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [-9.0, -8.001, -8.0, -7.999] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4], "tolerance": 0.000001 } }, |
| "tolerance": 0.000001 |
| }, |
| { |
| "name": "tanh_safe_clamp_boundary", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [4], |
| "data": { "kind": "values", "values": [-10.001, -10.0, 10.0, 10.001] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4], "tolerance": 0.000001 } }, |
| "tolerance": 0.000001 |
| } |
| ] |
| } |
|
|
