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{
"fixtureArrays": {
"prompt_separate_two_layouts_input_blockColIndicesT": [0, 0, 1, 1, 2, 1, 2, 3, -1, 0, 0, 1, 0, 1, 2, 0, 2, 3]
},
"cases": [
{
"name": "prompt_separate_f32_tile8_occupancy_b4_s68_h32",
"provenance": {
"notes": "A 4-batch, 68-token sparse-attention prompt (not a multiple of the 64-token block size) with 32 query heads grouped 4:1 over 8 key/value heads, head width 128."
},
"attrs": { "num_heads": 32, "kv_num_heads": 8, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [4, 68, 4096],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [4, 68, 1024],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [4, 68, 1024],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [4, 8, 256, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [4, 8, 256, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [4, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 7, 0, 1, 3, 5, 7, 0, 1, 3, 5, 7, 0, 1, 3, 5, 7] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [4, 7],
"data": {
"kind": "values",
"values": [0, 0, 1, 0, 2, 1, 3, 0, 0, 1, 0, 2, 1, 3, 0, 0, 1, 0, 2, 1, 3, 0, 0, 1, 0, 2, 1, 3]
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [68] } },
"keyTotalSequenceLengthsT": {
"dtype": "int32",
"shape": [4],
"data": { "kind": "values", "values": [68, 68, 68, 68] }
}
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [4, 68, 4096], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [4, 8, 256, 128], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [4, 8, 256, 128], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_separate_two_layouts",
"provenance": {
"notes": "The two-layout CSR example from the ONNX Runtime operator documentation, using separate Q/K/V tensors."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 32, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 32, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [2, 32, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [32, 32] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 32, 32], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_packed_two_layouts",
"provenance": { "notes": "Packed [Q|K|V] form of the documented two-layout prompt case." },
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 32, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.27, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 32, 32], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_separate_rotary_neox",
"provenance": {
"notes": "Full-width NeoX rotary with the minimum accepted head width; rotary_interleaved values other than 1 retain the NeoX layout."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16, "do_rotary": 1, "rotary_interleaved": 2 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 32, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 32, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 32, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 16], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 16], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"cosCacheT": { "dtype": "float32", "shape": [64, 8], "data": { "kind": "constant", "value": 0.8 } },
"sinCacheT": { "dtype": "float32", "shape": [64, 8], "data": { "kind": "constant", "value": 0.6 } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 32, 64], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 16], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 16], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_packed_partial_rotary_interleaved",
"provenance": {
"notes": "Packed QKV with interleaved rotary over the first 16 of 32 head channels; ONNX Runtime copies the remainder through."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16, "do_rotary": 1, "rotary_interleaved": 1 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 32, 256],
"data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.19, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 32], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 32], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"cosCacheT": { "dtype": "float32", "shape": [64, 8], "data": { "kind": "constant", "value": 0.8 } },
"sinCacheT": { "dtype": "float32", "shape": [64, 8], "data": { "kind": "constant", "value": 0.6 } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 32, 128], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 32], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 32], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "decode_separate_two_layouts",
"provenance": {
"notes": "Two decode rows with different history lengths, so the scalar maximum and per-row key lengths have distinct jobs."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 1, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 1, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [2, 1, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 64, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 64, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [41] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [41, 34] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 1, 32], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "decode_packed_rotary_neox",
"provenance": { "notes": "Packed decode with full-width NeoX rotary at each row's absolute position." },
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16, "do_rotary": 1 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 1, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 64, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 64, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [41] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [41, 34] } },
"cosCacheT": { "dtype": "float32", "shape": [64, 8], "data": { "kind": "constant", "value": 0.8 } },
"sinCacheT": { "dtype": "float32", "shape": [64, 8], "data": { "kind": "constant", "value": 0.6 } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 1, 64], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 64, 16], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 64, 16], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "chunked_separate_two_layouts",
"provenance": {
"notes": "Eight new tokens over 24 cached tokens, covering the non-prompt sequence_length > 1 path."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 8, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 8, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [2, 8, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 64, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 64, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [32, 32] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 8, 32], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_all_rows_gqa_four_to_one",
"provenance": {
"notes": "A 64-token prompt reaches every documented block row while four query heads share each KV head."
},
"attrs": { "num_heads": 8, "kv_num_heads": 2, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 64, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 64, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 64, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [64] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [64] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 64, 64], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_block32_head_dim16",
"provenance": {
"notes": "Block size 32 and head width 16 exercise independent key-tile and output-channel tails."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 32 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 64, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 64, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 64, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 128, 16], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 128, 16], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [64] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [64] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 64, 64], "tolerance": 0.00003, "relTolerance": 0.0003 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 128, 16], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 128, 16], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "prompt_explicit_scale",
"provenance": { "notes": "Explicit non-default score scale." },
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16, "scale": 0.25 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 32, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 32, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 32, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 32, 32], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 64, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "f16_prompt_separate",
"provenance": { "notes": "Meaningful float16 prompt; scores and online-softmax accumulators remain float32." },
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float16",
"shape": [1, 32, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float16",
"shape": [1, 32, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float16",
"shape": [1, 32, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float16", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float16", "shape": [1, 2, 64, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } }
},
"outputs": {
"outputT": { "dtype": "float16", "shape": [1, 32, 32], "tolerance": 0.003, "relTolerance": 0.01 },
"pastKeyT": { "dtype": "float16", "shape": [1, 2, 64, 8], "tolerance": 0.001, "relTolerance": 0.001 },
"pastValueT": { "dtype": "float16", "shape": [1, 2, 64, 8], "tolerance": 0.001, "relTolerance": 0.001 }
}
},
{
"name": "f16_decode_packed_partial_rotary",
"provenance": { "notes": "Float16 packed decode with partial NeoX rotary and unequal per-batch history lengths." },
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 16, "do_rotary": 1 },
"inputs": {
"queryT": {
"dtype": "float16",
"shape": [2, 1, 256],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float16",
"shape": [2, 2, 64, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float16",
"shape": [2, 2, 64, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 8, 0, 1, 3, 6, 9] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 9],
"data": {
"kind": "values",
"values": { "$ref": "#/fixtureArrays/prompt_separate_two_layouts_input_blockColIndicesT" }
}
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [41] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [2], "data": { "kind": "values", "values": [41, 34] } },
"cosCacheT": { "dtype": "float16", "shape": [64, 8], "data": { "kind": "constant", "value": 0.8 } },
"sinCacheT": { "dtype": "float16", "shape": [64, 8], "data": { "kind": "constant", "value": 0.6 } }
},
"outputs": {
"outputT": { "dtype": "float16", "shape": [2, 1, 128], "tolerance": 0.003, "relTolerance": 0.01 },
"pastKeyT": { "dtype": "float16", "shape": [2, 2, 64, 32], "tolerance": 0.002, "relTolerance": 0.005 },
"pastValueT": { "dtype": "float16", "shape": [2, 2, 64, 32], "tolerance": 0.001, "relTolerance": 0.001 }
}
},
{
"name": "dense_layout_ignores_malformed_columns",
"provenance": {
"notes": "ORT classifies a layout from its final CSR count. Once dense, repeated non-prefix column contents are ignored."
},
"attrs": { "num_heads": 1, "kv_num_heads": 1, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 32, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 32, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 32, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 32, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 32, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 3], "data": { "kind": "values", "values": [0, 1, 3] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 3], "data": { "kind": "values", "values": [1, 1, 1] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [32] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 32, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 32, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 32, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sparse_duplicate_columns_are_idempotent",
"provenance": {
"notes": "A sparse row repeats block 0. CSR encodes a boolean mask, so the duplicate must not duplicate probability mass."
},
"attrs": { "num_heads": 1, "kv_num_heads": 1, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 48, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 48, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 48, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 48, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 48, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 4], "data": { "kind": "values", "values": [0, 1, 3, 5] } },
"blockColIndicesT": {
"dtype": "int32",
"shape": [1, 5],
"data": { "kind": "values", "values": [0, 0, 1, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [48] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [48] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 48, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 48, 8], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 48, 8], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "empty_csr_row_uniform_scalar_total",
"provenance": {
"notes": "Pinned all-masked-row behavior from ORT's lowest-sentinel softmax: one causal key yields its value, not zero. Also covers scalar total_sequence_length and a zero-width column tensor."
},
"attrs": { "num_heads": 1, "kv_num_heads": 1, "sparse_block_size": 16 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "values", "values": [0.5, -0.5, 1.0, -1.0, 2.0, -2.0, 3.0, -3.0] }
},
"keyT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "values", "values": [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0] }
},
"valueT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] }
},
"pastKeyT": {
"dtype": "float32",
"shape": [1, 1, 16, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [1, 1, 16, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.25 }
},
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 2], "data": { "kind": "values", "values": [0, 0] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 0], "data": { "kind": "values", "values": [] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [1] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } }
},
"outputs": {
"outputT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] },
"tolerance": 0
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 16, 8], "tolerance": 0 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 16, 8], "tolerance": 0 }
}
},
{
"name": "optional_rotary_input_ignored_when_attribute_is_not_one",
"provenance": {
"notes": "The CPU kernel enables do_rotary only for the exact integer value 1. Otherwise optional rotary inputs are ignored and need not be paired."
},
"attrs": { "num_heads": 1, "kv_num_heads": 1, "sparse_block_size": 16, "do_rotary": 2, "rotary_interleaved": 2 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 1, 8],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 16, 8], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 16, 8], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 2], "data": { "kind": "values", "values": [0, 1] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 1], "data": { "kind": "values", "values": [0] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } },
"cosCacheT": { "dtype": "float32", "shape": [1, 1], "data": { "kind": "constant", "value": 0.0 } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 1, 8], "tolerance": 0.000001, "relTolerance": 0.000001 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 16, 8], "tolerance": 0.000001, "relTolerance": 0.000001 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 16, 8], "tolerance": 0.000001, "relTolerance": 0.000001 }
}
},
{
"name": "zero_width_rotary_is_a_noop",
"provenance": {
"notes": "ONNX Runtime accepts zero-width paired caches with do_rotary=1; the resulting zero-dimensional rotary transform copies Q and K through."
},
"attrs": { "num_heads": 1, "kv_num_heads": 1, "sparse_block_size": 16, "do_rotary": 1, "rotary_interleaved": 1 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 1, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 1, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 1, 16],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 16, 16], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 16, 16], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 2], "data": { "kind": "values", "values": [0, 1] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 1], "data": { "kind": "values", "values": [0] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [1] } },
"cosCacheT": { "dtype": "float32", "shape": [1, 0], "data": { "kind": "values", "values": [] } },
"sinCacheT": { "dtype": "float32", "shape": [1, 0], "data": { "kind": "values", "values": [] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 1, 16], "tolerance": 0.000001, "relTolerance": 0.000001 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 16, 16], "tolerance": 0.000001, "relTolerance": 0.000001 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 16, 16], "tolerance": 0.000001, "relTolerance": 0.000001 }
}
},
{
"name": "sgmat_prompt_separate_blk64_duplicate_csr",
"provenance": {
"notes": "Prefill shape on the subgroup-matrix route: 64-token blocks, a duplicate CSR column whose repeated block must not repeat its mass, a dense-by-count row, and an off-diagonal-only row."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 192, 256],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 192, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 192, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 192, 64], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 192, 64], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 4],
"data": { "kind": "values", "values": [0, 1, 3, 5, 0, 1, 2, 3] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 0, 1, 1, 1, 0, 1, 2, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [192] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [192] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 192, 256], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 192, 64], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 192, 64], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_prompt_packed_blk64",
"provenance": {
"notes": "Packed [Q|K|V] prefill checks that layout 0 ignores dense-row column values while layout 1 retains a gapped sparse row."
},
"attrs": { "num_heads": 4, "kv_num_heads": 2, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 128, 512],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 128, 64], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 128, 64], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 3],
"data": { "kind": "values", "values": [0, 1, 3, 0, 1, 2] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 3],
"data": { "kind": "values", "values": [0, 0, 1, 0, 1, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 128, 256], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 128, 64], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 128, 64], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_prompt_separate_rotary_neox_blk64",
"provenance": {
"notes": "Grouped-query prefill with partial NeoX rotary on the subgroup-matrix route; the attention pass reads the rotated-Q intermediate."
},
"attrs": { "num_heads": 2, "kv_num_heads": 1, "sparse_block_size": 64, "do_rotary": 1, "rotary_interleaved": 0 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 128, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 128, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 128, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 128, 64], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 128, 64], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 3],
"data": { "kind": "values", "values": [0, 1, 3, 0, 1, 2] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 3],
"data": { "kind": "values", "values": [0, 0, 1, 0, 1, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } },
"cosCacheT": { "dtype": "float32", "shape": [128, 16], "data": { "kind": "constant", "value": 0.8 } },
"sinCacheT": { "dtype": "float32", "shape": [128, 16], "data": { "kind": "constant", "value": 0.6 } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 128, 128], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 128, 64], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 128, 64], "tolerance": 0.00002, "relTolerance": 0.0002 }
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},
{
"name": "sgmat_prompt_packed_rotary_interleaved_blk64",
"provenance": {
"notes": "A packed [Q|K|V] prefill with 2 query and 2 key/value heads at head width 32, full interleaved rotary embedding (rotary dimension equal to head width), and 64-token sparse blocks."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64, "do_rotary": 1, "rotary_interleaved": 1 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 128, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 128, 32], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 128, 32], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 3],
"data": { "kind": "values", "values": [0, 1, 3, 0, 1, 2] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 3],
"data": { "kind": "values", "values": [0, 0, 1, 0, 1, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } },
"cosCacheT": { "dtype": "float32", "shape": [128, 16], "data": { "kind": "constant", "value": 0.8 } },
"sinCacheT": { "dtype": "float32", "shape": [128, 16], "data": { "kind": "constant", "value": 0.6 } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 128, 64], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 2, 128, 32], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 2, 128, 32], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_prompt_tail_s100_explicit_scale",
"provenance": {
"notes": "A 100-token prefill leaves the second query tile 36 rows live, exercising the staged-Q zero padding and guarded stores; the explicit scale attribute overrides the head-size default."
},
"attrs": { "num_heads": 2, "kv_num_heads": 1, "sparse_block_size": 64, "scale": 0.25 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 100, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 100, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 100, 32],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 128, 32], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 128, 32], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 3], "data": { "kind": "values", "values": [0, 1, 3] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 3], "data": { "kind": "values", "values": [0, 0, 1] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [100] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [100] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 100, 64], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 128, 32], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 128, 32], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_prompt_blk128_subtiles",
"provenance": {
"notes": "128-token sparse blocks decompose into two 64-key tiles per block at head_size 128, the flagship geometry; the second mask row skips block 0 so its diagonal block carries the ragged causal edge."
},
"attrs": { "num_heads": 2, "kv_num_heads": 1, "sparse_block_size": 128 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 256, 256],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 256, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 256, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 256, 128], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 256, 128], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 3], "data": { "kind": "values", "values": [0, 1, 2] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 2], "data": { "kind": "values", "values": [0, 1] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 256, 256], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 256, 128], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 256, 128], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_chunked_two_mask_rows",
"provenance": {
"notes": "A chunked sparse-attention prefill with 2 batches: past lengths of 100 and 68 tokens (each not a multiple of the 64-token block size) precede a shared 64-token query chunk. 2 query and 2 key/value heads, head width 64."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 64, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 64, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [2, 64, 128],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 256, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 256, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 7, 0, 1, 2, 4, 5] }
},
"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 7],
"data": { "kind": "values", "values": [0, 0, 1, 0, 2, 1, 3, 0, 1, 0, 2, 3, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } },
"keyTotalSequenceLengthsT": {
"dtype": "int32",
"shape": [2],
"data": { "kind": "values", "values": [164, 132] }
}
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 64, 128], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 256, 64], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 256, 64], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_empty_row_uniform_fallback",
"provenance": {
"notes": "The second block row of the mask is empty, so its 64 queries follow ONNX Runtime's all-masked behavior and return the uniform average of the values in their causal history."
},
"attrs": { "num_heads": 1, "kv_num_heads": 1, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [1, 128, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [1, 128, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [1, 128, 64],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 128, 64], "data": { "kind": "constant", "value": 0.0 } },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 128, 64], "data": { "kind": "constant", "value": 0.0 } },
"blockRowIndicesT": { "dtype": "int32", "shape": [1, 3], "data": { "kind": "values", "values": [0, 1, 1] } },
"blockColIndicesT": { "dtype": "int32", "shape": [1, 1], "data": { "kind": "values", "values": [0] } },
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } },
"keyTotalSequenceLengthsT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [128] } }
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [1, 128, 64], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [1, 1, 128, 64], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [1, 1, 128, 64], "tolerance": 0.00002, "relTolerance": 0.0002 }
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},
{
"name": "sgmat_capacity_d96_s64_packed0_rotary0",
"provenance": {
"notes": "Three 32-wide head blocks exercise the final partial publication bank on a constrained matrix tile; per-batch history crosses sparse rows, with complete and padded query tiles."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 64, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 64, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
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"shape": [2, 64, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 7, 0, 1, 2, 4, 5] }
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"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 7],
"data": { "kind": "values", "values": [0, 0, 1, 0, 2, 1, 3, 0, 1, 0, 2, 3, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } },
"keyTotalSequenceLengthsT": {
"dtype": "int32",
"shape": [2],
"data": { "kind": "values", "values": [164, 132] }
}
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 64, 192], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_capacity_d96_s64_packed0_rotary1",
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"notes": "Three 32-wide head blocks exercise the final partial publication bank on a constrained matrix tile; per-batch history crosses sparse rows, with complete and padded query tiles."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64, "do_rotary": 1, "rotary_interleaved": 0 },
"inputs": {
"queryT": {
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"shape": [2, 64, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 64, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [2, 64, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 7, 0, 1, 2, 4, 5] }
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"blockColIndicesT": {
"dtype": "int32",
"shape": [2, 7],
"data": { "kind": "values", "values": [0, 0, 1, 0, 2, 1, 3, 0, 1, 0, 2, 3, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } },
"keyTotalSequenceLengthsT": {
"dtype": "int32",
"shape": [2],
"data": { "kind": "values", "values": [164, 132] }
},
"cosCacheT": {
"dtype": "float32",
"shape": [256, 48],
"data": { "kind": "fillFloat32", "sinStep": 0.01, "cosStep": 0.013, "scale": 0.5 }
},
"sinCacheT": {
"dtype": "float32",
"shape": [256, 48],
"data": { "kind": "fillFloat32", "sinStep": 0.017, "cosStep": 0.013, "scale": 0.5 }
}
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 64, 192], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 }
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{
"name": "sgmat_capacity_d96_s64_packed1_rotary0",
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"notes": "Three 32-wide head blocks exercise the final partial publication bank on a constrained matrix tile; per-batch history crosses sparse rows, with complete and padded query tiles."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 64, 576],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"pastKeyT": {
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"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
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"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 7, 0, 1, 2, 4, 5] }
},
"blockColIndicesT": {
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"shape": [2, 7],
"data": { "kind": "values", "values": [0, 0, 1, 0, 2, 1, 3, 0, 1, 0, 2, 3, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } },
"keyTotalSequenceLengthsT": {
"dtype": "int32",
"shape": [2],
"data": { "kind": "values", "values": [164, 132] }
}
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 64, 192], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_capacity_d96_s64_packed1_rotary1",
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"notes": "Three 32-wide head blocks exercise the final partial publication bank on a constrained matrix tile; per-batch history crosses sparse rows, with complete and padded query tiles."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64, "do_rotary": 1, "rotary_interleaved": 1 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 64, 576],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
"blockRowIndicesT": {
"dtype": "int32",
"shape": [2, 5],
"data": { "kind": "values", "values": [0, 1, 3, 5, 7, 0, 1, 2, 4, 5] }
},
"blockColIndicesT": {
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"shape": [2, 7],
"data": { "kind": "values", "values": [0, 0, 1, 0, 2, 1, 3, 0, 1, 0, 2, 3, 0, 0] }
},
"totalSequenceLengthT": { "dtype": "int32", "shape": [1], "data": { "kind": "values", "values": [256] } },
"keyTotalSequenceLengthsT": {
"dtype": "int32",
"shape": [2],
"data": { "kind": "values", "values": [164, 132] }
},
"cosCacheT": {
"dtype": "float32",
"shape": [256, 48],
"data": { "kind": "fillFloat32", "sinStep": 0.01, "cosStep": 0.013, "scale": 0.5 }
},
"sinCacheT": {
"dtype": "float32",
"shape": [256, 48],
"data": { "kind": "fillFloat32", "sinStep": 0.017, "cosStep": 0.013, "scale": 0.5 }
}
},
"outputs": {
"outputT": { "dtype": "float32", "shape": [2, 64, 192], "tolerance": 0.0001, "relTolerance": 0.0005 },
"pastKeyT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 },
"pastValueT": { "dtype": "float32", "shape": [2, 2, 256, 96], "tolerance": 0.00002, "relTolerance": 0.0002 }
}
},
{
"name": "sgmat_capacity_d96_s65_packed0_rotary0",
"provenance": {
"notes": "Three 32-wide head blocks exercise the final partial publication bank on a constrained matrix tile; per-batch history crosses sparse rows, with complete and padded query tiles."
},
"attrs": { "num_heads": 2, "kv_num_heads": 2, "sparse_block_size": 64 },
"inputs": {
"queryT": {
"dtype": "float32",
"shape": [2, 65, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"keyT": {
"dtype": "float32",
"shape": [2, 65, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 0.5 }
},
"valueT": {
"dtype": "float32",
"shape": [2, 65, 192],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.23, "scale": 0.5 }
},
"pastKeyT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.011, "cosStep": 0.017, "scale": 0.25 }
},
"pastValueT": {
"dtype": "float32",
"shape": [2, 2, 256, 96],
"data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.013, "scale": 0.25 }
},
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},
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},
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"notes": "Final live query ends at cache capacity. Inactive query lanes must not walk a nonexistent CSR row; nondense terminal row makes an unchecked CSR subtraction wrap."
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