| { |
| "fixtureArrays": { |
| "ort_2d_nine_inputs_axis0_variadic_output_c": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] |
| }, |
| "cases": [ |
| { |
| "name": "int16_max_arity_boundaries", |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [-32768] } }, |
| "b": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [-1] } }, |
| "d": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [0] } }, |
| "e": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "f": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [32767] } }, |
| "g": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [-32767] } }, |
| "h": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [32766] } }, |
| "i": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [-2] } }, |
| "j": { "dtype": "int16", "shape": [1], "data": { "kind": "values", "values": [2] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "int16", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [-32768, -1, 0, 1, 32767, -32767, 32766, -2, 2] } |
| } |
| } |
| }, |
| { |
| "name": "max_arity_float16_positions", |
| "provenance": { |
| "notes": "Synthetic nine-input float16 Concat contract fixture; every bounded input position contributes one distinguishable output element." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [2.0] } }, |
| "d": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [3.0] } }, |
| "e": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [4.0] } }, |
| "f": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [5.0] } }, |
| "g": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [6.0] } }, |
| "h": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [7.0] } }, |
| "i": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [8.0] } }, |
| "j": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [9.0] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "float16", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] } |
| } |
| } |
| }, |
| { |
| "name": "max_arity_int32_positions", |
| "provenance": { |
| "notes": "Synthetic nine-input int32 Concat contract fixture; every bounded input position contributes one distinguishable output element." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [2] } }, |
| "d": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [3] } }, |
| "e": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [4] } }, |
| "f": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [5] } }, |
| "g": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [6] } }, |
| "h": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [7] } }, |
| "i": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [8] } }, |
| "j": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [9] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "int32", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1, 2, 3, 4, 5, 6, 7, 8, 9] } |
| } |
| } |
| }, |
| { |
| "name": "max_arity_int8_positions", |
| "provenance": { |
| "notes": "Synthetic nine-input int8 Concat contract fixture; every bounded input position contributes one distinguishable output element." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [2] } }, |
| "d": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [3] } }, |
| "e": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [4] } }, |
| "f": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [5] } }, |
| "g": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [6] } }, |
| "h": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [7] } }, |
| "i": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [8] } }, |
| "j": { "dtype": "int8", "shape": [1], "data": { "kind": "values", "values": [9] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "int8", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1, 2, 3, 4, 5, 6, 7, 8, 9] } |
| } |
| } |
| }, |
| { |
| "name": "max_arity_uint32_positions", |
| "provenance": { |
| "notes": "Synthetic nine-input uint32 Concat contract fixture; every bounded input position contributes one distinguishable output element." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [2] } }, |
| "d": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [3] } }, |
| "e": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [4] } }, |
| "f": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [5] } }, |
| "g": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [6] } }, |
| "h": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [7] } }, |
| "i": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [8] } }, |
| "j": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [9] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "uint32", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1, 2, 3, 4, 5, 6, 7, 8, 9] } |
| } |
| } |
| }, |
| { |
| "name": "max_arity_uint8_positions", |
| "provenance": { |
| "notes": "Synthetic nine-input uint8 Concat contract fixture; every bounded input position contributes one distinguishable output element." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [2] } }, |
| "d": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [3] } }, |
| "e": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [4] } }, |
| "f": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [5] } }, |
| "g": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [6] } }, |
| "h": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [7] } }, |
| "i": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [8] } }, |
| "j": { "dtype": "uint8", "shape": [1], "data": { "kind": "values", "values": [9] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "uint8", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1, 2, 3, 4, 5, 6, 7, 8, 9] } |
| } |
| } |
| }, |
| { |
| "name": "max_arity_bool_positions", |
| "provenance": { |
| "notes": "Synthetic nine-input bool Concat contract fixture; every bounded input position contributes a unique non-constant bit pattern." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [1, 0, 0, 0] } }, |
| "b": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [0, 1, 0, 0] } }, |
| "d": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [0, 0, 1, 0] } }, |
| "e": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [0, 0, 0, 1] } }, |
| "f": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [1, 1, 0, 0] } }, |
| "g": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [1, 0, 1, 0] } }, |
| "h": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [1, 0, 0, 1] } }, |
| "i": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [0, 1, 1, 0] } }, |
| "j": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [0, 1, 0, 1] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "bool", |
| "shape": [36], |
| "tolerance": 0, |
| "data": { |
| "kind": "values", |
| "values": [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1] |
| } |
| } |
| } |
| }, |
| { |
| "name": "single_input_is_identity", |
| "provenance": { |
| "notes": "ONNX Concat is variadic with min_arity=1; this pins the legal single-input identity case." |
| }, |
| "attrs": { "axis": -1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 3], |
| "data": { "kind": "values", "values": [-3.5, 0.0, 2.25, 8.0, -1.0, 4.5] } |
| } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "float32", |
| "shape": [2, 3], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [-3.5, 0.0, 2.25, 8.0, -1.0, 4.5] } |
| } |
| } |
| }, |
| { |
| "name": "axis0", |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 3], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 3], |
| "data": { "kind": "fillFloat32", "sinStep": 0.31, "cosStep": 0.07 } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "axis1_rank3", |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 2, 3], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.23 } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [2, 1, 3], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11 } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [2, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "axis1_odd_width_two_inputs_vec4_sibling", |
| "provenance": { |
| "notes": "Compact axis-1 concatenation with odd input widths and a vec4-aligned output row exercises mixed alignment without benchmark-scale tensors." |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [4, 5], |
| "data": { "kind": "fillFloat32", "sinStep": 0.071, "cosStep": 0.113, "scale": 0.5 } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [4, 3], |
| "data": { "kind": "fillFloat32", "sinStep": 0.097, "cosStep": 0.041, "scale": 0.25 } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [4, 8], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "axis1_rank3_three_inputs", |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 1, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [2, 2, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.23 } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [2, 1, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.31, "cosStep": 0.07 } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [2, 4, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "axis1_rank3_four_inputs", |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1, 1, 2], "data": { "kind": "values", "values": [0.0, 1.0] } }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 2, 2], |
| "data": { "kind": "values", "values": [10.0, 11.0, 20.0, 21.0] } |
| }, |
| "d": { "dtype": "float32", "shape": [1, 1, 2], "data": { "kind": "values", "values": [30.0, 31.0] } }, |
| "e": { |
| "dtype": "float32", |
| "shape": [1, 3, 2], |
| "data": { "kind": "values", "values": [40.0, 41.0, 50.0, 51.0, 60.0, 61.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 7, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_bool_1d_three_inputs", |
| "attrs": { "axis": 0 }, |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_int32", |
| "notes": "Exercises one-dimensional, three-input concatenation with an ONNX-valid bool payload." |
| }, |
| "inputs": { |
| "a": { "dtype": "bool", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "bool", "shape": [2], "data": { "kind": "values", "values": [0, 1] } }, |
| "d": { "dtype": "bool", "shape": [4], "data": { "kind": "values", "values": [1, 0, 0, 1] } } |
| }, |
| "outputs": { "c": { "dtype": "bool", "shape": [7], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank6_axis2_two_inputs", |
| "attrs": { "axis": 2 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 2, 1, 1, 1, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 1, 1, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.31, "cosStep": 0.07 } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 2, 3, 1, 1, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "uint32_axis_minus_one", |
| "attrs": { "axis": -1 }, |
| "inputs": { |
| "a": { "dtype": "uint32", "shape": [2, 1], "data": { "kind": "values", "values": [7, 11] } }, |
| "b": { "dtype": "uint32", "shape": [2, 2], "data": { "kind": "values", "values": [13, 17, 19, 23] } } |
| }, |
| "outputs": { "c": { "dtype": "uint32", "shape": [2, 3], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_1d_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_1" |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [2.0, 3.0] } }, |
| "d": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [4.0, 5.0, 6.0, 7.0] } } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [7], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_1d_three_inputs_negative_axis", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_int32_negative_axis", |
| "notes": "Same negative-axis rank-1 concat behavior adapted to float32." |
| }, |
| "attrs": { "axis": -1 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [2.0, 3.0] } }, |
| "d": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [4.0, 5.0, 6.0, 7.0] } } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [7], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_2d_axis1_three_inputs_float16", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_2" |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "float16", "shape": [4, 1], "data": { "kind": "values", "values": [11.0, 21.0, 31.0, 41.0] } }, |
| "b": { |
| "dtype": "float16", |
| "shape": [4, 2], |
| "data": { "kind": "values", "values": [12.0, 13.0, 22.0, 23.0, 32.0, 33.0, 42.0, 43.0] } |
| }, |
| "d": { "dtype": "float16", "shape": [4, 1], "data": { "kind": "values", "values": [14.0, 24.0, 34.0, 44.0] } } |
| }, |
| "outputs": { "c": { "dtype": "float16", "shape": [4, 4], "tolerance": 0.001 } } |
| }, |
| { |
| "name": "ort_2d_axis0_three_inputs_float32", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_1" |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1, 4], "data": { "kind": "values", "values": [11.0, 12.0, 13.0, 14.0] } }, |
| "b": { "dtype": "float32", "shape": [1, 4], "data": { "kind": "values", "values": [21.0, 22.0, 23.0, 24.0] } }, |
| "d": { "dtype": "float32", "shape": [1, 4], "data": { "kind": "values", "values": [31.0, 32.0, 33.0, 34.0] } } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [3, 4], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_2d_axis0_three_inputs_float16", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_1", |
| "notes": "Float16 instantiation of ORT's typed axis-0 2D concat case." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float16", "shape": [1, 4], "data": { "kind": "values", "values": [11.0, 12.0, 13.0, 14.0] } }, |
| "b": { "dtype": "float16", "shape": [1, 4], "data": { "kind": "values", "values": [21.0, 22.0, 23.0, 24.0] } }, |
| "d": { "dtype": "float16", "shape": [1, 4], "data": { "kind": "values", "values": [31.0, 32.0, 33.0, 34.0] } } |
| }, |
| "outputs": { "c": { "dtype": "float16", "shape": [3, 4], "tolerance": 0.001 } } |
| }, |
| { |
| "name": "ort_2d_axis0_two_inputs_float32", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_5", |
| "notes": "Float32 projection of ORT's double two-input axis-0 concat case." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 2], |
| "data": { "kind": "values", "values": [111.0, 112.0, 121.0, 122.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [2, 2], |
| "data": { "kind": "values", "values": [211.0, 212.0, 221.0, 222.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [4, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_2d_axis1_dynamic_shape_projection", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_4", |
| "notes": "Projects ORT's symbolic-dimension case to concrete JSON tensor shapes while preserving the axis-1 concat inputs." |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [4, 1], "data": { "kind": "values", "values": [11.0, 21.0, 31.0, 41.0] } }, |
| "b": { |
| "dtype": "float32", |
| "shape": [4, 2], |
| "data": { "kind": "values", "values": [12.0, 13.0, 22.0, 23.0, 32.0, 33.0, 42.0, 43.0] } |
| }, |
| "d": { "dtype": "float32", "shape": [4, 1], "data": { "kind": "values", "values": [14.0, 24.0, 34.0, 44.0] } } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [4, 4], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_3d_axis0_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_1" |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 121.0, 122.0, 123.0, 131.0, 132.0, 133.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [211.0, 212.0, 213.0, 221.0, 222.0, 223.0, 231.0, 232.0, 233.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [311.0, 312.0, 313.0, 321.0, 322.0, 323.0, 331.0, 332.0, 333.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [3, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_3d_negative_axis0_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_1_negative_axis" |
| }, |
| "attrs": { "axis": -3 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 121.0, 122.0, 123.0, 131.0, 132.0, 133.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [211.0, 212.0, 213.0, 221.0, 222.0, 223.0, 231.0, 232.0, 233.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [311.0, 312.0, 313.0, 321.0, 322.0, 323.0, 331.0, 332.0, 333.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [3, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_3d_axis1_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_2" |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [3, 1, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 211.0, 212.0, 213.0, 311.0, 312.0, 313.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [3, 1, 3], |
| "data": { "kind": "values", "values": [121.0, 122.0, 123.0, 221.0, 222.0, 223.0, 321.0, 322.0, 323.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [3, 1, 3], |
| "data": { "kind": "values", "values": [131.0, 132.0, 133.0, 231.0, 232.0, 233.0, 331.0, 332.0, 333.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [3, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_3d_axis1_two_inputs_equal", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_3" |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [2, 2, 2], |
| "data": { "kind": "values", "values": [9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [2, 4, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_3d_axis2_uneven_widths", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_4" |
| }, |
| "attrs": { "axis": 2 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 3, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 121.0, 122.0, 123.0, 131.0, 132.0, 133.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 3, 4], |
| "data": { |
| "kind": "values", |
| "values": [211.0, 212.0, 213.0, 214.0, 221.0, 222.0, 223.0, 224.0, 231.0, 232.0, 233.0, 234.0] |
| } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 3, 5], |
| "data": { |
| "kind": "values", |
| "values": [311.0, 312.0, 313.0, 314.0, 315.0, 321.0, 322.0, 323.0, 324.0, 325.0, 331.0, 332.0, 333.0, 334.0, 335.0] |
| } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 3, 12], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_3d_axis1_uneven_heights", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_5" |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 3, 2], |
| "data": { "kind": "values", "values": [111.0, 112.0, 121.0, 122.0, 131.0, 132.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 2, 2], |
| "data": { "kind": "values", "values": [211.0, 212.0, 221.0, 222.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 4, 2], |
| "data": { "kind": "values", "values": [311.0, 312.0, 321.0, 322.0, 331.0, 332.0, 341.0, 342.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 9, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_4d_axis1_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat4D_1" |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 121.0, 122.0, 123.0, 131.0, 132.0, 133.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [211.0, 212.0, 213.0, 221.0, 222.0, 223.0, 231.0, 232.0, 233.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [311.0, 312.0, 313.0, 321.0, 322.0, 323.0, 331.0, 332.0, 333.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 3, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_4d_negative_axis1_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat4D_1_negative_axis" |
| }, |
| "attrs": { "axis": -3 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 121.0, 122.0, 123.0, 131.0, 132.0, 133.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [211.0, 212.0, 213.0, 221.0, 222.0, 223.0, 231.0, 232.0, 233.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [311.0, 312.0, 313.0, 321.0, 322.0, 323.0, 331.0, 332.0, 333.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 3, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_4d_axis2_three_inputs", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat4D_2" |
| }, |
| "attrs": { "axis": 2 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [1, 3, 1, 3], |
| "data": { "kind": "values", "values": [111.0, 112.0, 113.0, 211.0, 212.0, 213.0, 311.0, 312.0, 313.0] } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [1, 3, 1, 3], |
| "data": { "kind": "values", "values": [121.0, 122.0, 123.0, 221.0, 222.0, 223.0, 321.0, 322.0, 323.0] } |
| }, |
| "d": { |
| "dtype": "float32", |
| "shape": [1, 3, 1, 3], |
| "data": { "kind": "values", "values": [131.0, 132.0, 133.0, 231.0, 232.0, 233.0, 331.0, 332.0, 333.0] } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 3, 3, 3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_1d_trailing_empty_input", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_2" |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [2.0, 3.0] } }, |
| "d": { "dtype": "float32", "shape": [0], "data": { "kind": "values", "values": [] } } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [3], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_2d_all_inputs_zero_width", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_3" |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1, 0], "data": { "kind": "values", "values": [] } }, |
| "b": { "dtype": "float32", "shape": [1, 0], "data": { "kind": "values", "values": [] } }, |
| "d": { "dtype": "float32", "shape": [1, 0], "data": { "kind": "values", "values": [] } } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [1, 0], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_1d_three_inputs_int32", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_int32" |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [2, 3] } }, |
| "d": { "dtype": "int32", "shape": [4], "data": { "kind": "values", "values": [4, 5, 6, 7] } } |
| }, |
| "outputs": { "c": { "dtype": "int32", "shape": [7], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_1d_four_inputs_int32", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_int32_4inputs" |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } }, |
| "b": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [2, 3] } }, |
| "d": { "dtype": "int32", "shape": [4], "data": { "kind": "values", "values": [4, 5, 6, 7] } }, |
| "e": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [8, 9] } } |
| }, |
| "outputs": { "c": { "dtype": "int32", "shape": [9], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_1d_nine_inputs_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_exceed_maxStorageBuffersPerShaderStage", |
| "notes": "Nine one-dimensional float32 inputs exercise variadic concatenation." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [2.0] } }, |
| "d": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [3.0] } }, |
| "e": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [4.0] } }, |
| "f": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [5.0] } }, |
| "g": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [6.0] } }, |
| "h": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [7.0] } }, |
| "i": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [8.0] } }, |
| "j": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [9.0] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "float32", |
| "shape": [9], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] } |
| } |
| } |
| }, |
| { |
| "name": "ort_2d_nine_inputs_axis0_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_exceed_maxStorageBuffersPerShaderStage_axis0", |
| "notes": "Nine two-dimensional float32 inputs exercise variadic concatenation along axis 0." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [1.0, 2.0] } }, |
| "b": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [3.0, 4.0] } }, |
| "d": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [5.0, 6.0] } }, |
| "e": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [7.0, 8.0] } }, |
| "f": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [9.0, 10.0] } }, |
| "g": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [11.0, 12.0] } }, |
| "h": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [13.0, 14.0] } }, |
| "i": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [15.0, 16.0] } }, |
| "j": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [17.0, 18.0] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "float32", |
| "shape": [9, 2], |
| "tolerance": 0, |
| "data": { |
| "kind": "values", |
| "values": { "$ref": "#/fixtureArrays/ort_2d_nine_inputs_axis0_variadic_output_c" } |
| } |
| } |
| } |
| }, |
| { |
| "name": "ort_2d_nine_inputs_axis1_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat2D_exceed_maxStorageBuffersPerShaderStage_axis1", |
| "notes": "Nine two-dimensional float32 inputs exercise variadic concatenation along axis 1." |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [1.0, 2.0] } }, |
| "b": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [3.0, 4.0] } }, |
| "d": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [5.0, 6.0] } }, |
| "e": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [7.0, 8.0] } }, |
| "f": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [9.0, 10.0] } }, |
| "g": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [11.0, 12.0] } }, |
| "h": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [13.0, 14.0] } }, |
| "i": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [15.0, 16.0] } }, |
| "j": { "dtype": "float32", "shape": [1, 2], "data": { "kind": "values", "values": [17.0, 18.0] } } |
| }, |
| "outputs": { |
| "c": { |
| "dtype": "float32", |
| "shape": [1, 18], |
| "tolerance": 0, |
| "data": { |
| "kind": "values", |
| "values": { "$ref": "#/fixtureArrays/ort_2d_nine_inputs_axis0_variadic_output_c" } |
| } |
| } |
| } |
| }, |
| { |
| "name": "ort_3d_nine_inputs_axis1_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_exceed_maxStorageBuffersPerShaderStage", |
| "notes": "Nine three-dimensional float32 inputs exercise variadic concatenation along axis 1." |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [2, 1, 1], "data": { "kind": "values", "values": [1.0, 2.0] } }, |
| "b": { "dtype": "float32", "shape": [2, 1, 1], "data": { "kind": "values", "values": [3.0, 4.0] } }, |
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| "name": "onnx_backend_concat_1d_axis_negative_1", |
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| { |
| "name": "onnx_backend_concat_2d_axis_0", |
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| "name": "onnx_backend_concat_2d_axis_1", |
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| "name": "onnx_backend_concat_2d_axis_negative_1", |
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| { |
| "name": "onnx_backend_concat_2d_axis_negative_2", |
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| "outputs": { "c": { "dtype": "float32", "shape": [4, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "onnx_backend_concat_3d_axis_0", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_concat_3d_axis_0" }, |
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| { |
| "name": "onnx_backend_concat_3d_axis_1", |
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| "outputs": { "c": { "dtype": "float32", "shape": [2, 4, 2], "tolerance": 0 } } |
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| { |
| "name": "onnx_backend_concat_3d_axis_2", |
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| "outputs": { "c": { "dtype": "float32", "shape": [2, 2, 4], "tolerance": 0 } } |
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| { |
| "name": "onnx_backend_concat_3d_axis_negative_1", |
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| "attrs": { "axis": -1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 2, 2], |
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| "dtype": "float32", |
| "shape": [2, 2, 2], |
| "data": { "kind": "values", "values": [9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0] } |
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| "outputs": { "c": { "dtype": "float32", "shape": [2, 2, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "onnx_backend_concat_3d_axis_negative_2", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_concat_3d_axis_negative_2" }, |
| "attrs": { "axis": -2 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 2, 2], |
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| "data": { "kind": "values", "values": [9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0] } |
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| "outputs": { "c": { "dtype": "float32", "shape": [2, 4, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "onnx_backend_concat_3d_axis_negative_3", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_concat_3d_axis_negative_3" }, |
| "attrs": { "axis": -3 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 2, 2], |
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| "dtype": "float32", |
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| "data": { "kind": "values", "values": [9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0] } |
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| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [4, 2, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_int8_1d_negative_axis_edge_values", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_int32_negative_axis", |
| "notes": "Same negative-axis concat pattern with logical int8 edge values." |
| }, |
| "attrs": { "axis": -1 }, |
| "inputs": { |
| "a": { "dtype": "int8", "shape": [3], "data": { "kind": "values", "values": [-128, -1, 0] } }, |
| "b": { "dtype": "int8", "shape": [3], "data": { "kind": "values", "values": [1, 2, 127] } } |
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| "outputs": { "c": { "dtype": "int8", "shape": [6], "tolerance": 0 } } |
| }, |
| { |
| "name": "uint8_3d_axis1_edge_values", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat3D_1", |
| "notes": "Axis-1 3D concat with logical uint8 edge values." |
| }, |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { "dtype": "uint8", "shape": [1, 2, 2], "data": { "kind": "values", "values": [0, 1, 2, 3] } }, |
| "b": { "dtype": "uint8", "shape": [1, 1, 2], "data": { "kind": "values", "values": [254, 255] } } |
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| "outputs": { "c": { "dtype": "uint8", "shape": [1, 3, 2], "tolerance": 0 } } |
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| { |
| "name": "block_vec4_axis0_two_f32", |
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| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [2, 6], |
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| "b": { |
| "dtype": "float32", |
| "shape": [4, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.29 } |
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| "outputs": { "c": { "dtype": "float32", "shape": [6, 6], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "block_vec4_axis1_two_f32_rank3", |
| "attrs": { "axis": 1 }, |
| "inputs": { |
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| "dtype": "float32", |
| "shape": [2, 2, 4], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
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| "b": { |
| "dtype": "float32", |
| "shape": [2, 3, 4], |
| "data": { "kind": "fillFloat32", "sinStep": 0.31, "cosStep": 0.07 } |
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| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [2, 5, 4], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "block_vec4_negative_axis_two_f32", |
| "attrs": { "axis": -2 }, |
| "inputs": { |
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| "dtype": "float32", |
| "shape": [3, 2, 2], |
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| "dtype": "float32", |
| "shape": [3, 4, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.11 } |
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| "outputs": { "c": { "dtype": "float32", "shape": [3, 6, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "block_vec4_axis1_three_f16", |
| "attrs": { "axis": 1 }, |
| "inputs": { |
| "a": { |
| "dtype": "float16", |
| "shape": [2, 2, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.21, "cosStep": 0.13 } |
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| "b": { |
| "dtype": "float16", |
| "shape": [2, 4, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.29 } |
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| "d": { |
| "dtype": "float16", |
| "shape": [2, 2, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23 } |
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| "outputs": { "c": { "dtype": "float16", "shape": [2, 8, 2], "tolerance": 0.001 } } |
| }, |
| { |
| "name": "block_vec4_axis0_four_u32_rank1", |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "uint32", "shape": [4], "data": { "kind": "cycle", "values": [3, 9, 1, 7] } }, |
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| "d": { "dtype": "uint32", "shape": [4], "data": { "kind": "cycle", "values": [6, 0, 13, 2] } }, |
| "e": { "dtype": "uint32", "shape": [12], "data": { "kind": "cycle", "values": [1, 15, 3, 10, 12, 9, 2] } } |
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| "outputs": { "c": { "dtype": "uint32", "shape": [28], "tolerance": 0 } } |
| }, |
| { |
| "name": "block_vec4_axis0_two_f32_large", |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { |
| "dtype": "float32", |
| "shape": [64, 128], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.17 } |
| }, |
| "b": { |
| "dtype": "float32", |
| "shape": [32, 128], |
| "data": { "kind": "fillFloat32", "sinStep": 0.29, "cosStep": 0.11 } |
| } |
| }, |
| "outputs": { "c": { "dtype": "float32", "shape": [96, 128], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_1d_five_inputs_empty_middle_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.Concat1D_exceed_maxStorageBuffersPerShaderStage", |
| "notes": "Exercises variadic concatenation with five inputs, including an empty middle input." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [1.0, 2.0] } }, |
| "b": { "dtype": "float32", "shape": [0], "data": { "kind": "values", "values": [] } }, |
| "d": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [3.0] } }, |
| "e": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [4.0, 5.0] } }, |
| "f": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [6.0] } } |
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| "outputs": { |
| "c": { |
| "dtype": "float32", |
| "shape": [6], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } |
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| } |
| }, |
| { |
| "name": "ort_1d_six_inputs_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.ConcatN_variadic", |
| "notes": "Exercises the 6-input variadic Concat variant (compact float32 projection)." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [2.0] } }, |
| "d": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [3.0] } }, |
| "e": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [4.0] } }, |
| "f": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [5.0] } }, |
| "g": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [6.0] } } |
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| "outputs": { |
| "c": { |
| "dtype": "float32", |
| "shape": [6], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } |
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| } |
| }, |
| { |
| "name": "ort_1d_seven_inputs_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.ConcatN_variadic", |
| "notes": "Exercises the 7-input variadic Concat variant (compact float32 projection)." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
| "b": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [2.0] } }, |
| "d": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [3.0] } }, |
| "e": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [4.0] } }, |
| "f": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [5.0] } }, |
| "g": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [6.0] } }, |
| "h": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [7.0] } } |
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| "outputs": { |
| "c": { |
| "dtype": "float32", |
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| "tolerance": 0, |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0] } |
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| } |
| }, |
| { |
| "name": "ort_1d_eight_inputs_variadic", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/concat_op_test.cc", |
| "test": "ConcatOpTest.ConcatN_variadic", |
| "notes": "Exercises the 8-input variadic Concat variant (compact float32 projection)." |
| }, |
| "attrs": { "axis": 0 }, |
| "inputs": { |
| "a": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.0] } }, |
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| "e": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [4.0] } }, |
| "f": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [5.0] } }, |
| "g": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [6.0] } }, |
| "h": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [7.0] } }, |
| "i": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [8.0] } } |
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| "outputs": { |
| "c": { |
| "dtype": "float32", |
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