| { |
| "cases": [ |
| { |
| "name": "f32_values", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "values", "values": [-2.7, -1.2, -0.1, 0.0, 1.2, 2.9] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [6] } } |
| }, |
| { |
| "name": "rank0_negative_fraction", |
| "inputs": { "x": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [-1.25] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [] } } |
| }, |
| { |
| "name": "nonfinite_and_integer_values", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "values", "values": ["-Infinity", -2.0, 0.0, 1e-7, "Infinity", "NaN"] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [6], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "f32_subnormal_boundary_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/element_wise_ops_test.cc", |
| "test": "MathOpTest.Ceil", |
| "notes": "Positive subnormal inputs are strictly greater than zero, so Ceil must round them up to one; flushing them to zero changes the boundary result." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [4], |
| "data": { "kind": "values", "values": [-1e-40, 0.0, 1e-40, 1.0000001] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4], "tolerance": 0 } } |
| }, |
| { |
| "name": "f32_subnormal_boundary_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": "onnxruntime/test/providers/cpu/math/element_wise_ops_test.cc", |
| "test": "MathOpTest.Ceil", |
| "notes": "Unaligned scalar-path input exercises Ceil at the positive subnormal boundary." |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [-1e-40, 0.0, 1e-40] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3], "tolerance": 0 } } |
| }, |
| { |
| "name": "zero_size_noop", |
| "inputs": { "x": { "dtype": "float32", "shape": [0, 2], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [0, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "f16_fractional_nonfinite_values", |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "values", "values": ["-Infinity", -1.5, -0.5, -0.0001, 0.0001, 1.5, "Infinity", "NaN"] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [8], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "ort_float_2x2", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/math/element_wise_ops_test.cc", |
| "test": "MathOpTest.Ceil" |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [2, 2], "data": { "kind": "values", "values": [-1.5, 0.2, -0.5, 10.3] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [2, 2], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [-1.0, 1.0, 0.0, 11.0] } |
| } |
| } |
| }, |
| { |
| "name": "onnx_backend_example", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_ceil_example", |
| "test": "test_ceil_example" |
| }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [-1.5, 1.2000000476837158] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0 } } |
| }, |
| { |
| "name": "onnx_backend_ceil", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_ceil" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 4, 5], |
| "data": { |
| "kind": "values", |
| "values": [1.764052391052246, 0.40015721321105957, 0.978738009929657, 2.2408931255340576, 1.8675580024719238, -0.9772778749465942, 0.9500884413719177, -0.15135720372200012, -0.10321885347366333, 0.4105985164642334, 0.14404356479644775, 1.4542734622955322, 0.7610377073287964, 0.12167501449584961, 0.44386324286460876, 0.3336743414402008, 1.4940791130065918, -0.2051582634449005, 0.3130677044391632, -0.8540957570075989, -2.5529897212982178, 0.653618574142456, 0.8644362092018127, -0.7421650290489197, 2.269754648208618, -1.4543657302856445, 0.04575851559638977, -0.18718385696411133, 1.5327792167663574, 1.4693588018417358, 0.154947429895401, 0.37816253304481506, -0.8877857327461243, -1.980796456336975, -0.34791216254234314, 0.15634897351264954, 1.2302906513214111, 1.202379822731018, -0.38732680678367615, -0.302302747964859, -1.0485529899597168, -1.420017957687378, -1.7062702178955078, 1.950775384902954, -0.5096521973609924, -0.4380742907524109, -1.2527953386306763, 0.7774903774261475, -1.6138978004455566, -0.21274028718471527, -0.8954665660858154, 0.38690251111984253, -0.5108051300048828, -1.18063223361969, -0.02818222902715206, 0.4283318817615509, 0.06651721894741058, 0.30247190594673157, -0.6343221068382263, -0.3627411723136902] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3, 4, 5], "tolerance": 0 } } |
| }, |
| { |
| "name": "onnx_backend_ceil_example", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_ceil_example" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [-1.5, 1.2000000476837158] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "f16_exact_integer_and_nonfinite", |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "values", "values": ["-Infinity", -65504.0, -1.0, 0.0, 1.0, 65504.0, "Infinity", "NaN"] } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "values", "values": ["-Infinity", -65504.0, -1.0, 0.0, 1.0, 65504.0, "Infinity", "NaN"] }, |
| "tolerance": 0, |
| "allowNaN": true |
| } |
| } |
| }, |
| { |
| "name": "f32_near_half_integer_vec4_boundary", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "values", "values": [-2.0001, -1.9999, -0.5001, -0.4999, 0.4999, 0.5001, 1.9999, 2.0001] } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "values", "values": [-2.0, -1.0, 0.0, 0.0, 1.0, 1.0, 2.0, 3.0] }, |
| "tolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "f32_vec4_sustained_4096", |
| "provenance": { |
| "notes": "A compact, four-element-aligned float32 input spans a sustained range of fractional values." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [4096], |
| "data": { "kind": "fillFloat32", "sinStep": 0.017, "cosStep": 0.011, "scale": 10.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4096], "tolerance": 0 } } |
| } |
| ] |
| } |
|
|
