{
  "op": "ai.onnx.ReduceLogSumExp",
  "cases": [
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      "attrs": { "axes": [1, 2], "keepdims": 1 },
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          "shape": [3, 16, 16],
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      "name": "all_axes_flat_rank1_boundary_8192",
      "provenance": {
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      },
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": { "x": { "dtype": "float32", "shape": [8192], "data": { "kind": "constant", "value": 1.0 } } },
      "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0.0001 } }
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      "attrs": { "keepdims": 1 },
      "inputs": {
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          "shape": [32, 32, 32],
          "data": { "kind": "fillFloat32", "sinStep": 0.013, "cosStep": 0.027, "scale": 0.5 }
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      "name": "dispatch_cliff_rank3_axis1",
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      "inputs": {
        "x": { "dtype": "float32", "shape": [4097, 1, 4097], "data": { "kind": "linspace", "start": -1.0, "end": 1.0 } }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [4097, 4097], "tolerance": 0.0001 } }
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      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": {
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          "shape": [2, 3],
          "data": { "kind": "values", "values": [-1.0, 2.0, -3.0, 4.0, -5.0, 6.0] }
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      "name": "axis0_tiled_64x32",
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [64, 32],
          "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.07, "scale": 0.2 }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [32], "tolerance": 0.00002 } }
    },
    {
      "name": "axis0_positive_infinity_returns_infinity",
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2],
          "data": { "kind": "values", "values": ["Infinity", -1.0, 2.0, "Infinity", 3.0, 4.0] }
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      },
      "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0 } }
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      "name": "axis0_nan_overrides_positive_infinity",
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2],
          "data": { "kind": "values", "values": ["NaN", "Infinity", "Infinity", 2.0, 3.0, 4.0] }
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      "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0, "allowNaN": true } }
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      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
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          "shape": [2, 3],
          "data": { "kind": "values", "values": [-1.0, 2.0, -3.0, 4.0, -5.0, 6.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0.000001 } }
    },
    {
      "name": "axis1_positive_infinity_returns_infinity",
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 3],
          "data": {
            "kind": "values",
            "values": ["Infinity", 1.0, 2.0, "Infinity", "Infinity", -1.0, "-Infinity", "-Infinity", "-Infinity"]
          }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [3], "tolerance": 0 } }
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    {
      "name": "axis1_nan_overrides_positive_infinity",
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 3],
          "data": { "kind": "values", "values": ["NaN", "Infinity", 1.0, "Infinity", 2.0, 3.0, "NaN", 1.0, 2.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [3], "tolerance": 0, "allowNaN": true } }
    },
    {
      "name": "axis1_empty_cols_negative_infinity",
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": { "x": { "dtype": "float32", "shape": [2, 0], "data": { "kind": "values", "values": [] } } },
      "outputs": {
        "y": {
          "dtype": "float32",
          "shape": [2],
          "tolerance": 0,
          "data": { "kind": "values", "values": ["-Infinity", "-Infinity"] }
        }
      }
    },
    {
      "name": "axis0_empty_rows_negative_infinity",
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": { "x": { "dtype": "float32", "shape": [0, 3], "data": { "kind": "values", "values": [] } } },
      "outputs": {
        "y": {
          "dtype": "float32",
          "shape": [3],
          "tolerance": 0,
          "data": { "kind": "values", "values": ["-Infinity", "-Infinity", "-Infinity"] }
        }
      }
    },
    {
      "name": "f16_empty_reduction_negative_infinity",
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": { "x": { "dtype": "float16", "shape": [1, 0], "data": { "kind": "values", "values": [] } } },
      "outputs": {
        "y": { "dtype": "float16", "shape": [1], "tolerance": 0, "data": { "kind": "values", "values": ["-Infinity"] } }
      }
    },
    {
      "name": "axis1_zero_rows_noop",
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": { "x": { "dtype": "float32", "shape": [0, 3], "data": { "kind": "values", "values": [] } } },
      "outputs": { "y": { "dtype": "float32", "shape": [0], "tolerance": 0 } }
    },
    {
      "name": "axis1_keepdims",
      "attrs": { "axes": [1], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [2, 3],
          "data": { "kind": "values", "values": [-1.0, 2.0, -3.0, 4.0, -5.0, 6.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [2, 1], "tolerance": 0.000001 } }
    },
    {
      "name": "rank3_axis1_middle_keepdims",
      "attrs": { "axes": [1], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [2, 3, 4],
          "data": {
            "kind": "values",
            "values": [-1.0, 2.0, -3.0, 4.0, 5.0, -6.0, 0.0, -8.0, 0.5, -0.25, 1.5, -2.5, 7.0, -8.0, 9.0, -10.0, -0.75, 1.25, -1.75, 2.25, 3.0, -4.0, 5.0, -6.0]
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        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [2, 1, 4], "tolerance": 0.000001 } }
    },
    {
      "name": "rank3_axis1_positive_infinity_keepdims",
      "attrs": { "axes": [1], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [2, 3, 2],
          "data": {
            "kind": "values",
            "values": ["Infinity", 1.0, 2.0, 3.0, 4.0, 5.0, 1.0, 2.0, "Infinity", "-Infinity", 3.0, 4.0]
          }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [2, 1, 2], "tolerance": 0.000001 } }
    },
    {
      "name": "rank3_axis1_nan_overrides_positive_infinity",
      "attrs": { "axes": [1], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [1, 3, 2],
          "data": { "kind": "values", "values": ["NaN", "Infinity", "Infinity", 3.0, 4.0, 5.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2], "tolerance": 0, "allowNaN": true } }
    },
    {
      "name": "rank1_axis0_keepdims",
      "attrs": { "axes": [-1], "keepdims": 1 },
      "inputs": {
        "x": { "dtype": "float32", "shape": [5], "data": { "kind": "values", "values": [-8.0, -2.0, 0.0, 1.0, 3.0] } }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [1], "tolerance": 0.000001 } }
    },
    {
      "name": "ort_axis0_rank1_scalar",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_do_not_keepdims_2"
      },
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": { "x": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [1.0, 2.0, 3.0] } } },
      "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0.00001 } }
    },
    {
      "name": "ort_rank0_scalar",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp0DTensor"
      },
      "inputs": { "x": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [2.0] } } },
      "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0 } }
    },
    {
      "name": "ort_axis0_singleton_no_keepdims_noop",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_float_no_reduction"
      },
      "attrs": { "axes": [0], "keepdims": 0 },
      "inputs": {
        "x": { "dtype": "float32", "shape": [1, 2, 2], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [2, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "ort_axis0_singleton_keepdims_noop",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_float_no_reduction_keepdims"
      },
      "attrs": { "axes": [0], "keepdims": 1 },
      "inputs": {
        "x": { "dtype": "float32", "shape": [1, 2, 2], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "ort_all_negative_infinity_keepdims",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_AllNegInf"
      },
      "attrs": { "axes": [0], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [5],
          "data": { "kind": "values", "values": ["-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity"] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [1], "tolerance": 0 } }
    },
    {
      "name": "ort_all_negative_infinity_no_keepdims",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_AllNegInf_NoKeepDims"
      },
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [2, 3],
          "data": {
            "kind": "values",
            "values": ["-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity"]
          }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0 } }
    },
    {
      "name": "ort_negative_infinity_and_finite",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_MixedNegInfAndFinite"
      },
      "attrs": { "axes": [0], "keepdims": 1 },
      "inputs": {
        "x": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": ["-Infinity", 0.0] } }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [1], "tolerance": 0 } }
    },
    {
      "name": "ort_positive_infinity_keepdims",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_PosInf"
      },
      "attrs": { "axes": [0], "keepdims": 1 },
      "inputs": { "x": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": ["Infinity", 0.0] } } },
      "outputs": { "y": { "dtype": "float32", "shape": [1], "tolerance": 0 } }
    },
    {
      "name": "onnx_backend_reduce_log_sum_exp_empty_set",
      "attrs": { "keepdims": 1, "axes": [1] },
      "inputs": { "x": { "dtype": "float32", "shape": [2, 0, 4], "data": { "kind": "values", "values": [] } } },
      "outputs": { "y": { "dtype": "float32", "shape": [2, 1, 4] } },
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_empty_set",
        "notes": "The ONNX int64 axes input is materialized as this compile-time axes list."
      }
    },
    {
      "name": "onnx_backend_keepdims_example_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_example",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "axes": [1], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": { "kind": "values", "values": [5.0, 1.0, 20.0, 2.0, 30.0, 1.0, 40.0, 2.0, 55.0, 1.0, 60.0, 2.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "onnx_backend_negative_axis_keepdims_example_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_example",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "axes": [-2], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": { "kind": "values", "values": [5.0, 1.0, 20.0, 2.0, 30.0, 1.0, 40.0, 2.0, 55.0, 1.0, 60.0, 2.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "onnx_backend_do_not_keepdims_example_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_example",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
        "x": {
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      },
      "outputs": { "y": { "dtype": "float32", "shape": [3, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "onnx_backend_keepdims_random_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_random",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "axes": [1], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": {
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      },
      "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "onnx_backend_negative_axis_keepdims_random_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_random",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "axes": [-2], "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": {
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      },
      "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "onnx_backend_do_not_keepdims_random_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_random",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": {
            "kind": "values",
            "values": [0.9762700796127319, 4.3037872314453125, 2.055267572402954, 0.8976636528968811, -1.5269039869308472, 2.917882204055786, -1.248255729675293, 7.835460186004639, 9.273255348205566, -2.331169605255127, 5.834500789642334, 0.577898383140564]
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        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [3, 2], "tolerance": 0.00001 } }
    },
    {
      "name": "onnx_backend_default_axes_keepdims_example_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_default_axes_keepdims_example",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": { "kind": "values", "values": [5.0, 1.0, 20.0, 2.0, 30.0, 1.0, 40.0, 2.0, 55.0, 1.0, 60.0, 2.0] }
        }
      },
      "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1], "tolerance": 0.00001 } }
    },
    {
      "name": "ort_default_axes_rank3_no_keepdims_scalar",
      "provenance": {
        "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc",
        "test": "ReductionOpTest.ReduceLogSumExp_default_axes_do_not_keep_dims",
        "notes": "Default axes reduce all input dimensions to a rank-0 scalar when keepdims=0."
      },
      "attrs": { "keepdims": 0 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
          "data": { "kind": "values", "values": [5.0, 1.0, 20.0, 2.0, 30.0, 1.0, 40.0, 2.0, 55.0, 1.0, 60.0, 2.0] }
        }
      },
      "outputs": {
        "y": {
          "dtype": "float32",
          "shape": [],
          "data": { "kind": "values", "values": [60.00671387] },
          "tolerance": 0.00001
        }
      }
    },
    {
      "name": "onnx_backend_default_axes_keepdims_random_f32_projection",
      "provenance": {
        "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_log_sum_exp_default_axes_keepdims_random",
        "notes": "Official ONNX backend tensor is float64; projected to float32 to match this framework dtype support."
      },
      "attrs": { "keepdims": 1 },
      "inputs": {
        "x": {
          "dtype": "float32",
          "shape": [3, 2, 2],
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