ai.onnx.Or / build /webgpu /test.json
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{
"op": "ai.onnx.Or",
"cases": [
{
"name": "same_shape_vec4_nonzero",
"inputs": {
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},
"outputs": {
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"tolerance": 0,
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}
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},
{
"name": "broadcast",
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"b": { "dtype": "bool", "shape": [3], "data": { "kind": "values", "values": [1, 0, 0] } }
},
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{
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{
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},
{
"name": "zero_sized_broadcast",
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},
{
"name": "ort_bool_vector",
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"source": "onnxruntime/test/providers/cpu/math/element_wise_ops_test.cc",
"test": "MathOpTest.Or"
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{
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{
"name": "onnx_backend_bcast3v2d",
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"source": "cmake/external/onnx/onnx/backend/test/data/node/test_or_bcast3v2d",
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{
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{
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{
"name": "onnx_backend_or_bcast4v4d",
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"source": "cmake/external/onnx/onnx/backend/test/data/node/test_or_bcast4v4d",
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{
"name": "onnx_backend_or3d",
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{
"name": "ort_bool_exact_bcast3v2d",
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"source": "onnxruntime/test/providers/cpu/math/element_wise_ops_test.cc",
"test": "MathOpTest.Xor_bcast3v2d",
"notes": "Uses ORT's bool 3D-vs-2D broadcast geometry with Or's truth table."
},
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{
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"a": { "dtype": "bool", "shape": [9], "data": { "kind": "values", "values": [0, 1, 1, 0, 1, 0, 1, 1, 0] } },
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{
"name": "scalar_broadcast_to_vector",
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"a": { "dtype": "bool", "shape": [], "data": { "kind": "values", "values": [1] } },
"b": { "dtype": "bool", "shape": [6], "data": { "kind": "values", "values": [0, 1, 0, 1, 0, 1] } }
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"outputs": { "c": { "dtype": "bool", "shape": [6], "tolerance": 0 } }
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{
"name": "rank7_broadcast",
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"shape": [2, 1, 2, 1, 2, 1, 2],
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},
{
"name": "bool_cross_broadcast_16x257_perf_compact",
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"notes": "Compact sibling for the 2D Or broadcast benchmark; [1, cols] by [rows, 1] preserves cross-broadcast address arithmetic with an unaligned inner extent."
},
"inputs": {
"a": { "dtype": "bool", "shape": [1, 257], "data": { "kind": "cycle", "values": [0, 1, 0, 1] } },
"b": { "dtype": "bool", "shape": [16, 1], "data": { "kind": "cycle", "values": [1, 0, 1, 0] } }
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}