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curl -L -o test.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.BitCast/resolve/v1/build/webgpu/test.json
13.2 kB
| { | |
| "cases": [ | |
| { | |
| "name": "float32_to_int32", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Float32ToInt32" | |
| }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.0, 1.0, -1.0, 0.5] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [4] } } | |
| }, | |
| { | |
| "name": "int32_to_float32", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Int32ToFloat32" | |
| }, | |
| "attrs": { "to": 1 }, | |
| "inputs": { | |
| "input": { "dtype": "int32", "shape": [3], "data": { "kind": "values", "values": [0, 1065353216, 1073741824] } } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [3] } } | |
| }, | |
| { | |
| "name": "uint32_to_float32", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.UInt32ToFloat32" | |
| }, | |
| "attrs": { "to": 1 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "uint32", | |
| "shape": [3], | |
| "data": { "kind": "values", "values": [0, 1065353216, 1073741824] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [3] } } | |
| }, | |
| { | |
| "name": "float32_to_uint32_rank2", | |
| "attrs": { "to": 12 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [2, 3], | |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "uint32", "shape": [2, 3] } } | |
| }, | |
| { | |
| "name": "scalar_float32_to_int32", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.ScalarTensor" | |
| }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { "input": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [42.0] } } }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [] } } | |
| }, | |
| { | |
| "name": "ort_float32_to_int32_rank2", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Float32ToInt32_2D" | |
| }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [2, 3], | |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [2, 3] } } | |
| }, | |
| { | |
| "name": "ort_empty_float32_to_int32", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.EmptyTensor" | |
| }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { "input": { "dtype": "float32", "shape": [0], "data": { "kind": "values", "values": [] } } }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [0] } } | |
| }, | |
| { | |
| "name": "ort_float32_to_int32_rank3", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Float32ToInt32_3D" | |
| }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [2, 2, 3], | |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [2, 2, 3] } } | |
| }, | |
| { | |
| "name": "ort_float32_to_float32_identity", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Float32ToFloat32" | |
| }, | |
| "attrs": { "to": 1 }, | |
| "inputs": { | |
| "input": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [1.0, 2.0, 3.0] } } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [3] } } | |
| }, | |
| { | |
| "name": "onnx_backend_uint32_to_int32_high_bits", | |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_bitcast_uint32_to_int32" }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "uint32", | |
| "shape": [3], | |
| "data": { "kind": "values", "values": [4294967295, 2147483648, 2147483647] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [3], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "onnx_backend_float32_to_int32", | |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_bitcast_float32_to_int32" }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [1.0, -2.5, 3.75] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [3], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "onnx_backend_float32_to_int32_rank2", | |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_bitcast_2d_float32_to_int32" }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [2, 3], | |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [2, 3], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "onnx_backend_scalar_float32_to_int32", | |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_bitcast_scalar_float32_to_int32" }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { "input": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [1.0] } } }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "onnx_backend_int32_to_float32", | |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_bitcast_int32_to_float32" }, | |
| "attrs": { "to": 1 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "int32", | |
| "shape": [3], | |
| "data": { "kind": "values", "values": [1065353216, -1071644672, 1081081856] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [3], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "float32_to_uint32_special_bits", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Float32ToInt32", | |
| "notes": "Exercises the same byte-reinterpretation semantics on signed zero and infinities, with uint32 output so high bits are explicit." | |
| }, | |
| "attrs": { "to": 12 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [6], | |
| "data": { "kind": "values", "values": [0.0, -0.0, 1.0, -2.5, "Infinity", "-Infinity"] } | |
| } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "uint32", | |
| "shape": [6], | |
| "tolerance": 0, | |
| "data": { "kind": "values", "values": [0, 2147483648, 1065353216, 3223322624, 2139095040, 4286578688] } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "uint32_to_float32_special_bits", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.UInt32ToFloat32", | |
| "notes": "Pins down non-finite and signed-zero payloads so BitCast cannot silently become numeric conversion." | |
| }, | |
| "attrs": { "to": 1 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "uint32", | |
| "shape": [7], | |
| "data": { | |
| "kind": "values", | |
| "values": [0, 2147483648, 2139095040, 4286578688, 1065353216, 3223322624, 2143289344] | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "float32", | |
| "shape": [7], | |
| "tolerance": 0, | |
| "allowNaN": true, | |
| "data": { "kind": "values", "values": [0.0, 0.0, "Infinity", "-Infinity", 1.0, -2.5, "NaN"] } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "int8_identity_pairwise_route", | |
| "provenance": { | |
| "notes": "Identity reinterpretation exercises signed 8-bit input and output selection independently while preserving every payload bit." | |
| }, | |
| "attrs": { "to": 3 }, | |
| "inputs": { | |
| "input": { "dtype": "int8", "shape": [4], "data": { "kind": "values", "values": [-1, -128, 127, 0] } } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "int8", | |
| "shape": [4], | |
| "tolerance": 0, | |
| "data": { "kind": "values", "values": [-1, -128, 127, 0] } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "int8_to_uint8_vectorized", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Int8ToUInt8", | |
| "notes": "Four elements exercise vectorized signed-to-unsigned byte reinterpretation while preserving every payload bit." | |
| }, | |
| "attrs": { "to": 2 }, | |
| "inputs": { | |
| "input": { "dtype": "int8", "shape": [4], "data": { "kind": "values", "values": [0, -1, 127, -128] } } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "uint8", | |
| "shape": [4], | |
| "tolerance": 0, | |
| "data": { "kind": "values", "values": [0, 255, 127, 128] } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "ort_int8_to_uint8", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.Int8ToUInt8" | |
| }, | |
| "attrs": { "to": 2 }, | |
| "inputs": { | |
| "input": { "dtype": "int8", "shape": [5], "data": { "kind": "values", "values": [0, 1, -1, 127, -128] } } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "uint8", | |
| "shape": [5], | |
| "tolerance": 0, | |
| "data": { "kind": "values", "values": [0, 1, 255, 127, 128] } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "ort_uint8_to_int8", | |
| "provenance": { | |
| "source": "onnxruntime/test/providers/cpu/tensor/bitcast_op_test.cc", | |
| "test": "BitCastTest.UInt8ToInt8" | |
| }, | |
| "attrs": { "to": 3 }, | |
| "inputs": { | |
| "input": { "dtype": "uint8", "shape": [5], "data": { "kind": "values", "values": [0, 1, 127, 128, 255] } } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "int8", | |
| "shape": [5], | |
| "tolerance": 0, | |
| "data": { "kind": "values", "values": [0, 1, 127, -128, -1] } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "float32_to_int32_rank6", | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [2, 2, 2, 2, 2, 2], | |
| "data": { "kind": "linspace", "start": -1.0, "end": 1.0 } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [2, 2, 2, 2, 2, 2], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "float32_to_int32_rank7", | |
| "provenance": { | |
| "source": "ONNX BitCast-26 contract and ONNX Runtime's CPU provider", | |
| "notes": "BitCast preserves arbitrary tensor rank and only reinterprets same-width element bits." | |
| }, | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [1, 1, 1, 1, 1, 1, 4], | |
| "data": { "kind": "values", "values": [0.0, 1.0, -1.0, 0.5] } | |
| } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "int32", | |
| "shape": [1, 1, 1, 1, 1, 1, 4], | |
| "data": { "kind": "values", "values": [0, 1065353216, -1082130432, 1056964608] }, | |
| "tolerance": 0 | |
| } | |
| } | |
| }, | |
| { | |
| "name": "int32_to_float32_numel_not_mult4", | |
| "attrs": { "to": 1 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "int32", | |
| "shape": [5], | |
| "data": { "kind": "values", "values": [0, 1065353216, 1073741824, -1082130432, 1086324736] } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [5], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "float32_to_int32_rank8", | |
| "attrs": { "to": 6 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "float32", | |
| "shape": [2, 1, 1, 1, 1, 1, 2, 4], | |
| "data": { "kind": "linspace", "start": -4.0, "end": 11.0 } | |
| } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [2, 1, 1, 1, 1, 1, 2, 4], "tolerance": 0 } } | |
| }, | |
| { | |
| "name": "uint8_to_int8_vec4_packed", | |
| "provenance": { | |
| "notes": "Eight uint8 elements exercise the packed uint8-to-int8 reinterpretation. Values straddle 128 in every vec4 lane, making sign extension visible lane by lane." | |
| }, | |
| "attrs": { "to": 3 }, | |
| "inputs": { | |
| "input": { | |
| "dtype": "uint8", | |
| "shape": [8], | |
| "data": { "kind": "values", "values": [0, 1, 127, 128, 129, 200, 254, 255] } | |
| } | |
| }, | |
| "outputs": { | |
| "output": { | |
| "dtype": "int8", | |
| "shape": [8], | |
| "tolerance": 0, | |
| "data": { "kind": "values", "values": [0, 1, 127, -128, -127, -56, -2, -1] } | |
| } | |
| } | |
| } | |
| ] | |
| } | |