| { |
| "op": "ai.onnx.ReduceMin", |
| "fixtureArrays": { |
| "rank3_axis2_last_keepdims_input_x": [4, -1, 2, -1, 8, 7, 6, 5, -3, -4, -4, 2, 0, 9, -8, 3, -2, -6, 1, 10, 5, -5, -7, 4] |
| }, |
| "cases": [ |
| { |
| "name": "all_axes_flat_positive_infinity_identity_8192", |
| "provenance": { |
| "notes": "The parallel full-reduction threshold must supersede the rank1 serial and row-reduction fallbacks, while preserving the true +Infinity identity." |
| }, |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [8192], "data": { "kind": "cycle", "values": ["Infinity"] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [], |
| "data": { "kind": "cycle", "values": ["Infinity"] }, |
| "tolerance": 0, |
| "relTolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "all_axes_flat_fullreduce_32x32x32_keepdims", |
| "attrs": { "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [32, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.013, "cosStep": 0.027, "scale": 0.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "f32_negative_subnormal_axis1_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 in f32; bit-exact subnormal preservation is unattainable on GPU." |
| }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReduceMin", |
| "notes": "A negative subnormal is the row minimum over zero; flushing it changes the selected value." |
| }, |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 3], "data": { "kind": "values", "values": [1e-40, 0.0, -1e-40] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1], "tolerance": 0 } } |
| }, |
| { |
| "name": "dispatch_cliff_axis1_16776961x1", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [16776961, 1], "data": { "kind": "linspace", "start": -5.0, "end": 5.0 } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [16776961], "tolerance": 0 } } |
| }, |
| { |
| "name": "degenerate_axis1_vec4_tail_17x1", |
| "provenance": { |
| "notes": "Compact correctness coverage for the vectorized singleton-axis copy plus its one-element scalar tail." |
| }, |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [17, 1], "data": { "kind": "linspace", "start": -8.0, "end": 8.0 } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [17], "tolerance": 0 } } |
| }, |
| { |
| "name": "degenerate_axis1_vec4_aligned_i32_16x1", |
| "provenance": { "notes": "Compact native-integer coverage for the aligned vectorized singleton-axis copy." }, |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "int32", "shape": [16, 1], "data": { "kind": "cycle", "values": [16777217, -16777219, 7, -3] } } |
| }, |
| "outputs": { "y": { "dtype": "int32", "shape": [16], "tolerance": 0 } } |
| }, |
| { |
| "name": "axis0", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 4], |
| "data": { "kind": "values", "values": [1.0, 9.0, 3.0, 4.0, -1.0, 2.0, 7.0, 8.0, 0.0, 5.0, -3.0, 6.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [4] } } |
| }, |
| { |
| "name": "axis0_tilecols_positive_infinity_identity_64x16", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [64, 16], "data": { "kind": "cycle", "values": ["Infinity"] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [16], |
| "data": { "kind": "cycle", "values": ["Infinity"] }, |
| "tolerance": 0, |
| "relTolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "int32_axis0_tiled_64x32", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "int32", |
| "shape": [64, 32], |
| "data": { |
| "kind": "cycle", |
| "values": [-16777216, -16777245, -16777274, -16777236, -16777265, -16777227, -16777256, -16777218, -16777247, -16777276, -16777238, -16777267, -16777229, -16777258, -16777220, -16777249, -16777278, -16777240, -16777269, -16777231, -16777260, -16777222, -16777251, -16777280, -16777242, -16777271, -16777233, -16777262, -16777224, -16777253, -16777282, -16777244, -16777273, -16777235, -16777264, -16777226, -16777255, -16777217, -16777246, -16777275, -16777237, -16777266, -16777228, -16777257, -16777219, -16777248, -16777277, -16777239, -16777268, -16777230, -16777259, -16777221, -16777250, -16777279, -16777241, -16777270, -16777232, -16777261, -16777223, -16777252, -16777281, -16777243, -16777272, -16777234, -16777263, -16777225, -16777254] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "int32", "shape": [32], "tolerance": 0 } } |
| }, |
| { |
| "name": "axis1", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 4], |
| "data": { "kind": "values", "values": [1.0, 9.0, 3.0, 4.0, -1.0, 2.0, 7.0, 8.0, 0.0, 5.0, -3.0, 6.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3] } } |
| }, |
| { |
| "name": "ort_axis1_nan_seed_comparison_gpu_gap", |
| "skipGpu": { |
| "category": "todo", |
| "reason": "The parallel min/max reduction routes do not yet preserve the reference's first-element NaN incumbent semantics; explicit NaN tracking is implementable in WGSL." |
| }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin", |
| "notes": "NaN extension: ORT seeds ReduceMin from the first reduced element, so a leading NaN remains the result while later NaNs are ignored after a finite incumbent." |
| }, |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 4], |
| "data": { "kind": "values", "values": ["NaN", 1.0, -2.0, 0.0, 1.0, "NaN", -2.0, 0.0, 1.0, -2.0, "NaN", 0.0] } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [3], |
| "data": { "kind": "values", "values": ["NaN", -2.0, -2.0] }, |
| "tolerance": 0, |
| "allowNaN": true |
| } |
| } |
| }, |
| { |
| "name": "axis0_empty_rows_positive_infinity_identity_f32", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { |
| "y": { "dtype": "float32", "shape": [3], "data": { "kind": "cycle", "values": ["Infinity"] }, "tolerance": 0 } |
| } |
| }, |
| { |
| "name": "axis1_empty_cols_positive_infinity_identity_f32", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [2, 0], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { |
| "y": { "dtype": "float32", "shape": [2], "data": { "kind": "cycle", "values": ["Infinity"] }, "tolerance": 0 } |
| } |
| }, |
| { |
| "name": "axis1_keepdims", |
| "attrs": { "axes": [1], "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 4], |
| "data": { "kind": "values", "values": [4.0, -1.0, 2.0, -1.0, 8.0, 7.0, 6.0, 5.0, -3.0, -4.0, -4.0, 2.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "axis1_all_positive_infinity_returns_positive_infinity", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 4], |
| "data": { |
| "kind": "values", |
| "values": ["Infinity", "Infinity", "Infinity", "Infinity", "Infinity", 7.0, "Infinity", 9.0, 3.0, "Infinity", 5.0, "Infinity"] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_mixed_infinities_axis1", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceInfMin" |
| }, |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [6, 2], |
| "data": { |
| "kind": "values", |
| "values": [1.0, "Infinity", "Infinity", 4.0, "Infinity", "-Infinity", "-Infinity", "Infinity", 1.0, "-Infinity", "-Infinity", 4.0] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [6], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank3_axis2_last_keepdims", |
| "attrs": { "axes": [2], "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 3, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/rank3_axis2_last_keepdims_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 3, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "rank4_axis1_channel_no_keepdims", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 3, 2, 2], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/rank3_axis2_last_keepdims_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 2, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "rank1_axis0_scalar_output", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [7], |
| "data": { "kind": "values", "values": [4.0, -8.0, 2.0, -8.0, 0.0, 5.0, -1.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_int32_axis0_no_keepdims", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_int32", |
| "notes": "Single-axis subset adapted from ORT's multi-axis integer reduction fixture because this framework models one reduction axis per case." |
| }, |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "int32", |
| "shape": [3, 2, 2], |
| "data": { "kind": "values", "values": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "int32", "shape": [2, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "int32_axis1_exact_above_float24", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "int32", |
| "shape": [2, 3], |
| "data": { "kind": "values", "values": [16777217, 16777216, 5, -16777216, -16777217, 3] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "int32", "shape": [2], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_axis1_rank3_no_keepdims", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_do_not_keepdims" |
| }, |
| "attrs": { "axes": [1], "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": [3, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_axis1_rank3_keepdims", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_keepdims" |
| }, |
| "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": 0.000001 } } |
| }, |
| { |
| "name": "ort_axis0_rank1_scalar", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_do_not_keepdims_2" |
| }, |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [5.0, 1.0, 20.0] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_float_axes02_rank3_keepdims1", |
| "attrs": { "axes": [0, 2], "keepdims": 1 }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin", |
| "notes": "Direct multi-axis reduction from ORT." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 2, 2], |
| "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": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 2, 1], |
| "data": { "kind": "values", "values": [1.0, 3.0] }, |
| "tolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "ort_rank0_scalar", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin0DTensor" |
| }, |
| "inputs": { "x": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [2.0] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [], "tolerance": 0 } } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_do_not_keepdims_example", |
| "attrs": { "keepdims": 0, "axes": [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, 2] } }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_do_not_keepdims_example", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_do_not_keepdims_random", |
| "attrs": { "keepdims": 0, "axes": [1] }, |
| "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] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3, 2] } }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_do_not_keepdims_random", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_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_min_empty_set", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_keepdims_example", |
| "attrs": { "keepdims": 1, "axes": [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] } }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_keepdims_example", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_keepdims_random", |
| "attrs": { "keepdims": 1, "axes": [1] }, |
| "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] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 2] } }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_keepdims_random", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_negative_axes_keepdims_example", |
| "attrs": { "keepdims": 1, "axes": [-2] }, |
| "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] } }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_negative_axes_keepdims_example", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_negative_axes_keepdims_random", |
| "attrs": { "keepdims": 1, "axes": [-2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 2, 2], |
| "data": { |
| "kind": "values", |
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| "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 2] } }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_negative_axes_keepdims_random", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| } |
| }, |
| { |
| "name": "ort_int32_empty_axis0_keepdims_max_identity", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_int32_EmptySet", |
| "notes": "The ONNX int64 axes input is materialized as this compile-time axes list." |
| }, |
| "attrs": { "axes": [0], "keepdims": 1 }, |
| "inputs": { "x": { "dtype": "int32", "shape": [0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { "y": { "dtype": "int32", "shape": [1, 3], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_empty_set_default_axes_keepdims_f32", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.empty_set_ReduceMin", |
| "notes": "An omitted axes input reduces all dimensions when noop_with_empty_axes is 0." |
| }, |
| "attrs": { "keepdims": 1 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [2, 0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 1], |
| "data": { "kind": "values", "values": ["Infinity"] }, |
| "tolerance": 0 |
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| } |
| }, |
| { |
| "name": "onnx_backend_reduce_min_default_axes_keepdims_example", |
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| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_default_axes_keepdims_example" |
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| "attrs": { "keepdims": 1 }, |
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| "x": { |
| "dtype": "float32", |
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| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_default_axes_rank3_no_keepdims_scalar", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_default_axes_do_not_keep_dims", |
| "notes": "Default axes reduce all input dimensions to a rank-0 scalar when keepdims=0." |
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| "attrs": { "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
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| }, |
| { |
| "name": "onnx_backend_reduce_min_default_axes_keepdims_random", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_reduce_min_default_axes_keepdims_random" |
| }, |
| "attrs": { "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 2, 2], |
| "data": { |
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| { |
| "name": "subgroup_vec4_last_axis_2x256", |
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| "inputs": { |
| "x": { |
| "dtype": "float32", |
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| "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0 } } |
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| { |
| "name": "subgroup_scalar_last_axis_2x65", |
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| "x": { |
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| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.11 } |
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| "outputs": { "y": { "dtype": "float32", "shape": [2], "tolerance": 0 } } |
| }, |
| { |
| "name": "subgroup_vec4_int32_above_float24", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "int32", |
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| "outputs": { |
| "y": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [16777217, -16777220] } } |
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| }, |
| { |
| "name": "ort_bool_axis0_keepdims0", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "test_bool_ReduceMin_9" |
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| "x": { |
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| "data": { "kind": "values", "values": [0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1] } |
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| "outputs": { |
| "y": { "dtype": "bool", "shape": [3, 2], "data": { "kind": "values", "values": [0, 0, 0, 1, 0, 1] } } |
| } |
| }, |
| { |
| "name": "ort_bool_axis2_keepdims1", |
| "attrs": { "axes": [2], "keepdims": 1 }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "test_bool_ReduceMin_15" |
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| "inputs": { |
| "x": { |
| "dtype": "bool", |
| "shape": [2, 3, 2], |
| "data": { "kind": "values", "values": [0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1] } |
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| "outputs": { |
| "y": { "dtype": "bool", "shape": [2, 3, 1], "data": { "kind": "values", "values": [0, 1, 0, 0, 0, 0] } } |
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| }, |
| { |
| "name": "ort_bool_all_axes_keepdims1", |
| "attrs": { "keepdims": 1 }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "test_bool_ReduceMin_19", |
| "notes": "The fixture now uses the standard Boolean route introduced by ONNX ReduceMin-20." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "bool", |
| "shape": [2, 3, 2], |
| "data": { "kind": "values", "values": [0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1] } |
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| "outputs": { |
| "y": { "dtype": "bool", "shape": [1, 1, 1], "data": { "kind": "values", "values": [0] }, "tolerance": 0 } |
| } |
| }, |
| { |
| "name": "ort_bool_all_axes_keepdims0_scalar", |
| "attrs": { "keepdims": 0 }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "test_bool_ReduceMin_17", |
| "notes": "The fixture now uses the standard Boolean route introduced by ONNX ReduceMin-20." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "bool", |
| "shape": [2, 3, 2], |
| "data": { "kind": "values", "values": [0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1] } |
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| "outputs": { "y": { "dtype": "bool", "shape": [], "data": { "kind": "values", "values": [0] }, "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_noop_empty_axes_identity", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/reduction/reduction_ops_test.cc", |
| "test": "ReductionOpTest.ReduceMin_noop_axes_input_initializer_opset_18", |
| "notes": "The omitted axes input exercises empty-axes behavior." |
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| "attrs": { "keepdims": 0, "noop_with_empty_axes": 1 }, |
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| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank3_lastaxis_cols1024_tree_f32", |
| "attrs": { "axes": [2], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 2, 1024], |
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| "outputs": { "y": { "dtype": "float32", "shape": [2, 2], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "rank3_lastaxis_cols1024_tree_i32", |
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| "inputs": { |
| "x": { |
| "dtype": "int32", |
| "shape": [2, 2, 1024], |
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| "outputs": { "y": { "dtype": "int32", "shape": [2, 2], "tolerance": 0.00001 } } |
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| { |
| "name": "axis0_splitk_positive_infinity_identity_8192x2", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { "x": { "dtype": "float32", "shape": [8192, 2], "data": { "kind": "cycle", "values": ["Infinity"] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
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| { |
| "name": "axis0_splitk_8192x48_keepdims", |
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| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [8192, 48], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.07, "scale": 0.2 } |
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| "outputs": { "y": { "dtype": "float32", "shape": [1, 48], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "int32_rank4_axis0_no_keepdims", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
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| { |
| "name": "f32_rank4_axis2_mid_no_keepdims", |
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| "inputs": { |
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| { |
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| { |
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| { |
| "name": "uint32_axis0_tiled_64x32", |
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| { |
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| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "int32", "shape": [15] } } |
| }, |
| { |
| "name": "all_axes_flat_fullreduce_101x103_nonmul4_keepdims", |
| "provenance": { |
| "notes": "numel=10403 (%4=3, >=8192) full-reduce: previously fell to the single-lane reduce-serial-axis kernel; now stays on all_axes_flat (f32 binding, manual vec4 groups + 3-element scalar tail). Cross-checks the flat path against the serial all_axes_keepdims reference — a dropped tail would change the result." |
| }, |
| "attrs": { "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [101, 103], |
| "data": { "kind": "fillFloat32", "sinStep": 0.013, "cosStep": 0.027, "scale": 0.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1], "tolerance": 0.01, "relTolerance": 0.0001 } } |
| }, |
| { |
| "name": "contiguous_suffix_axes12_parallel", |
| "provenance": { |
| "notes": "Contiguous axes {1,2} exercise the shared cooperative suffix reduction instead of one serial lane per output." |
| }, |
| "attrs": { "axes": [1, 2], "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [3, 16, 16], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.07, "scale": 0.2 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [3, 1, 1], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "axis_split_rank3_axis1_2x8192x4", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [2, 8192, 4], "data": { "kind": "cycle", "values": ["Infinity"] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "cycle", "values": ["Infinity"] }, |
| "tolerance": 0, |
| "relTolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "f16_axis_split_tiled_narrow_2x8192x4", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [2, 8192, 4], "data": { "kind": "cycle", "values": ["Infinity"] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float16", |
| "shape": [2, 4], |
| "data": { "kind": "cycle", "values": ["Infinity"] }, |
| "tolerance": 0, |
| "relTolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "axis_split_rank3_axis1_wide_2x8192x32", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [2, 8192, 32], "data": { "kind": "cycle", "values": ["Infinity"] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [2, 32], |
| "data": { "kind": "cycle", "values": ["Infinity"] }, |
| "tolerance": 0, |
| "relTolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "f16_axis_split_wide_2x8192x32", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [2, 8192, 32], "data": { "kind": "cycle", "values": ["Infinity"] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float16", |
| "shape": [2, 32], |
| "data": { "kind": "cycle", "values": ["Infinity"] }, |
| "tolerance": 0, |
| "relTolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "f16_rank3_axis1_serial", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "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": "float16", "shape": [3, 2], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_last_axis_serial_fallback", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [2, 65], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.11 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [2], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_all_axes", |
| "attrs": { "keepdims": 1 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [32, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.013, "cosStep": 0.027, "scale": 0.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 1, 1], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_axis0_splitk_8192x8", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [8192, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [8], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_last_axis_vec4_8x1024", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [8, 1024], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [8], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_last_axis_scalar_8x1023", |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [8, 1023], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [8], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_all_axes_flat_65543", |
| "attrs": { "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [65543], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_suffix_vec4_4x8x128", |
| "attrs": { "axes": [1, 2], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [4, 8, 128], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [4], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_suffix_scalar_4x7x37", |
| "attrs": { "axes": [1, 2], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [4, 7, 37], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [4], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_axis0_tilecols_4096x64", |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [4096, 64], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 4.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [64], "tolerance": 0.05, "relTolerance": 0.002 } } |
| }, |
| { |
| "name": "noop_empty_axes_under_x4_copy_floor", |
| "provenance": { |
| "notes": "Identity-shaped noop_with_empty_axes reduction below the four-element floor of the vec4 degenerate copy, which otherwise outranks the noop route on every identity case (the ORT [1,2,2] fixture has exactly four elements)." |
| }, |
| "attrs": { "keepdims": 0, "noop_with_empty_axes": 1 }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 3], "data": { "kind": "values", "values": [3.0, -1.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 3], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_int8_axis1_extrema", |
| "provenance": { |
| "source": "ONNX Runtime CPUExecutionProvider", |
| "notes": "Covers the signed narrow-integer reduction route." |
| }, |
| "attrs": { "axes": [1], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "int8", "shape": [2, 3], "data": { "kind": "values", "values": [-128, -5, 127, 12, -3, 11] } } |
| }, |
| "outputs": { |
| "y": { "dtype": "int8", "shape": [2], "tolerance": 0, "data": { "kind": "values", "values": [-128, -3] } } |
| } |
| }, |
| { |
| "name": "ort_uint8_axis0_extrema", |
| "provenance": { |
| "source": "ONNX Runtime CPUExecutionProvider", |
| "notes": "Covers the unsigned narrow-integer reduction route." |
| }, |
| "attrs": { "axes": [0], "keepdims": 0 }, |
| "inputs": { |
| "x": { "dtype": "uint8", "shape": [2, 3], "data": { "kind": "values", "values": [1, 200, 255, 250, 3, 4] } } |
| }, |
| "outputs": { |
| "y": { "dtype": "uint8", "shape": [3], "tolerance": 0, "data": { "kind": "values", "values": [1, 3, 4] } } |
| } |
| }, |
| { |
| "name": "ort_int8_empty_axis1_highest_identity", |
| "provenance": { |
| "source": "ONNX Runtime CPUExecutionProvider", |
| "notes": "An empty INT8 minimum is the logical dtype maximum (127), not the physical i32 storage maximum." |
| }, |
| "attrs": { "axes": [1], "keepdims": 1 }, |
| "inputs": { "x": { "dtype": "int8", "shape": [2, 0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "int8", |
| "shape": [2, 1, 3], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [127, 127, 127, 127, 127, 127] } |
| } |
| } |
| }, |
| { |
| "name": "ort_uint8_empty_axis1_highest_identity", |
| "provenance": { |
| "source": "ONNX Runtime CPUExecutionProvider", |
| "notes": "An empty UINT8 minimum is the logical dtype maximum (255), not the physical u32 storage maximum." |
| }, |
| "attrs": { "axes": [1], "keepdims": 1 }, |
| "inputs": { "x": { "dtype": "uint8", "shape": [2, 0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "uint8", |
| "shape": [2, 1, 3], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [255, 255, 255, 255, 255, 255] } |
| } |
| } |
| }, |
| { |
| "name": "onnx_v20_bool_empty_axis1_true_identity", |
| "provenance": { |
| "source": "https://onnx.ai/onnx/operators/onnx__ReduceMin.html", |
| "notes": "An empty Boolean minimum is true, the logical dtype maximum." |
| }, |
| "attrs": { "axes": [1], "keepdims": 1 }, |
| "inputs": { "x": { "dtype": "bool", "shape": [2, 0, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { |
| "y": { |
| "dtype": "bool", |
| "shape": [2, 1, 3], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1, 1, 1, 1, 1, 1] } |
| } |
| } |
| } |
| ] |
| } |
|
|
