Download build/webgpu/bench.json from webgpu-kernels/com.microsoft.MultiHeadAttention: direct link, hf CLI and curl.
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hf download hf://webgpu-kernels/com.microsoft.MultiHeadAttention@v1/build/webgpu/bench.json
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curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/com.microsoft.MultiHeadAttention/resolve/v1/build/webgpu/bench.json
393 kB
| { | |
| "cases": [ | |
| { | |
| "name": "minilm-self-attention-b1-s20-h12-d32", | |
| "provenance": { | |
| "notes": "Twelve heads at sequence length 20 mark the upper boundary of the whole-head small-sequence route; `minilm-self-attention-b1-s24-h12-d32` exercises the adjacent flash route." | |
| }, | |
| "vars": { "batch": 1, "qSeq": 20, "kvSeq": 20, "heads": 12, "headDim": 32 }, | |
| "attrs": { "num_heads": 12 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 20, 384], "dtype": "float32", "dist": "normal", "seed": 9251, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 20, 384], "dtype": "float32", "dist": "normal", "seed": 9252, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 20, 384], "dtype": "float32", "dist": "normal", "seed": 9253, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 20, 384], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "minilm-self-attention-b1-s24-h12-d32", | |
| "provenance": { | |
| "notes": "Boundary immediately above the whole-head small-sequence route. This shape satisfies flashShapeOk, so it checks that the mutually exclusive route predicates remain aligned." | |
| }, | |
| "vars": { "batch": 1, "qSeq": 24, "kvSeq": 24, "heads": 12, "headDim": 32 }, | |
| "attrs": { "num_heads": 12 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 24, 384], "dtype": "float32", "dist": "normal", "seed": 9261, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 24, 384], "dtype": "float32", "dist": "normal", "seed": 9262, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 24, 384], "dtype": "float32", "dist": "normal", "seed": 9263, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 24, 384], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "minilm-self-attention-b1-s11-h12-d32", | |
| "provenance": { | |
| "notes": "all-MiniLM-L6-v2 self-attention at a short sentence: 12 heads of 32, bidirectional, no bias." | |
| }, | |
| "vars": { "batch": 1, "qSeq": 11, "kvSeq": 11, "heads": 12, "headDim": 32 }, | |
| "attrs": { "num_heads": 12 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 11, 384], "dtype": "float32", "dist": "normal", "seed": 9201, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 11, 384], "dtype": "float32", "dist": "normal", "seed": 9202, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 11, 384], "dtype": "float32", "dist": "normal", "seed": 9203, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 11, 384], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "minilm-self-attention-b1-s32-h12-d32", | |
| "provenance": { "notes": "all-MiniLM-L6-v2 self-attention: 12 heads of 32, bidirectional, no bias." }, | |
| "vars": { "batch": 1, "qSeq": 32, "kvSeq": 32, "heads": 12, "headDim": 32 }, | |
| "attrs": { "num_heads": 12 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 32, 384], "dtype": "float32", "dist": "normal", "seed": 9211, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 32, 384], "dtype": "float32", "dist": "normal", "seed": 9212, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 32, 384], "dtype": "float32", "dist": "normal", "seed": 9213, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 32, 384], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "minilm-self-attention-b1-s128-h12-d32", | |
| "provenance": { "notes": "all-MiniLM-L6-v2 self-attention: 12 heads of 32, bidirectional, no bias." }, | |
| "vars": { "batch": 1, "qSeq": 128, "kvSeq": 128, "heads": 12, "headDim": 32 }, | |
| "attrs": { "num_heads": 12 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 128, 384], "dtype": "float32", "dist": "normal", "seed": 9221, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 128, 384], "dtype": "float32", "dist": "normal", "seed": 9222, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 128, 384], "dtype": "float32", "dist": "normal", "seed": 9223, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 128, 384], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "mha-f32-1x64x64-h4d16", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 64, "kvSeq": 64, "heads": 4, "headDim": 16 }, | |
| "attrs": { "num_heads": 4, "scale": 0.25 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 64, 64], "dtype": "float32", "dist": "normal", "seed": 203, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 64, 64], "dtype": "float32", "dist": "normal", "seed": 204, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 64, 64], "dtype": "float32", "dist": "normal", "seed": 205, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 64, 64], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "mha-f32-bias-causal-1x64x64-h4d16", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 64, "kvSeq": 64, "heads": 4, "headDim": 16 }, | |
| "attrs": { "num_heads": 4, "scale": 0.25, "unidirectional": 1 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 64, 64], "dtype": "float32", "dist": "normal", "seed": 204, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 64, 64], "dtype": "float32", "dist": "normal", "seed": 205, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 64, 64], "dtype": "float32", "dist": "normal", "seed": 206, "scale": 0.2 }, | |
| "biasT": { "shape": [192], "dtype": "float32", "dist": "normal", "seed": 207, "scale": 0.05 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 64, 64], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.heads * args.headDim * args.qSeq * (args.qSeq + 1) / 2" } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "decode-h8-d64-kv512", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 512, "heads": 8, "headDim": 64 }, | |
| "attrs": { "num_heads": 8, "scale": 0.125 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 1, 512], "dtype": "float32", "dist": "normal", "seed": 467, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 512, 512], "dtype": "float32", "dist": "normal", "seed": 468, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 512, 512], "dtype": "float32", "dist": "normal", "seed": 469, "scale": 0.2 } | |
| }, | |
| "outputs": { "outputT": { "shape": [1, 1, 512], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim) * 4" | |
| }, | |
| { | |
| "type": "gflops", | |
| "value": "4 * dim(shapes.queryT, 0) * dim(shapes.queryT, 1) * dim(shapes.keyT, 1) * dim(shapes.queryT, 2)" | |
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| }, | |
| { | |
| "name": "decode-h8-d64-kv512-bias", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 512, "heads": 8, "headDim": 64 }, | |
| "attrs": { "num_heads": 8, "scale": 0.125 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 1, 512], "dtype": "float32", "dist": "normal", "seed": 471, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 512, 512], "dtype": "float32", "dist": "normal", "seed": 472, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 512, 512], "dtype": "float32", "dist": "normal", "seed": 473, "scale": 0.2 }, | |
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| "outputs": { "outputT": { "shape": [1, 1, 512], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim + 3 * args.heads * args.headDim) * 4" | |
| }, | |
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| "type": "gflops", | |
| "value": "4 * dim(shapes.queryT, 0) * dim(shapes.queryT, 1) * dim(shapes.keyT, 1) * dim(shapes.queryT, 2)" | |
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| }, | |
| { | |
| "name": "decode-h8-d64-kv768", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 768, "heads": 8, "headDim": 64 }, | |
| "attrs": { "num_heads": 8, "scale": 0.125 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 1, 512], "dtype": "float32", "dist": "normal", "seed": 477, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 768, 512], "dtype": "float32", "dist": "normal", "seed": 478, "scale": 0.2 }, | |
| "valueT": { "shape": [1, 768, 512], "dtype": "float32", "dist": "normal", "seed": 479, "scale": 0.2 } | |
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| "outputs": { "outputT": { "shape": [1, 1, 512], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim) * 4" | |
| }, | |
| { | |
| "type": "gflops", | |
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| }, | |
| { | |
| "name": "decode-h8-d64-kv768-bias", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 768, "heads": 8, "headDim": 64 }, | |
| "attrs": { "num_heads": 8, "scale": 0.125 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 1, 512], "dtype": "float32", "dist": "normal", "seed": 481, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 768, 512], "dtype": "float32", "dist": "normal", "seed": 482, "scale": 0.2 }, | |
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| "outputs": { "outputT": { "shape": [1, 1, 512], "dtype": "float32" } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim + 3 * args.heads * args.headDim) * 4" | |
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| "type": "gflops", | |
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| { | |
| "name": "decode-h4-d64-kv512", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 512, "heads": 4, "headDim": 64 }, | |
| "attrs": { "num_heads": 4, "scale": 0.125 }, | |
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| "keyT": { "shape": [1, 512, 256], "dtype": "float32", "dist": "normal", "seed": 368, "scale": 0.2 }, | |
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| "metrics": [ | |
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| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim) * 4" | |
| }, | |
| { | |
| "type": "gflops", | |
| "value": "4 * dim(shapes.queryT, 0) * dim(shapes.queryT, 1) * dim(shapes.keyT, 1) * dim(shapes.queryT, 2)" | |
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| { | |
| "name": "decode-h4-d64-kv512-bias", | |
| "preset": "smoke", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 512, "heads": 4, "headDim": 64 }, | |
| "attrs": { "num_heads": 4, "scale": 0.125 }, | |
| "inputs": { | |
| "queryT": { "shape": [1, 1, 256], "dtype": "float32", "dist": "normal", "seed": 371, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 512, 256], "dtype": "float32", "dist": "normal", "seed": 372, "scale": 0.2 }, | |
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| "outputs": { "outputT": { "shape": [1, 1, 256], "dtype": "float32" } }, | |
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| "metrics": [ | |
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| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim + 3 * args.heads * args.headDim) * 4" | |
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| { | |
| "type": "gflops", | |
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| { | |
| "name": "decode-h8-d128-kv2048", | |
| "preset": "model", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 2048, "heads": 8, "headDim": 128 }, | |
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| "outputs": { "outputT": { "shape": [1, 1, 1024], "dtype": "float32" } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "(2 * args.kvSeq * args.heads * args.headDim + 2 * args.qSeq * args.heads * args.headDim) * 4" | |
| }, | |
| { | |
| "type": "gflops", | |
| "value": "4 * dim(shapes.queryT, 0) * dim(shapes.queryT, 1) * dim(shapes.keyT, 1) * dim(shapes.queryT, 2)" | |
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| } | |
| }, | |
| { | |
| "name": "flux2-joint-attn-img512-s1536-24h-d128", | |
| "preset": "model", | |
| "vars": { "batch": 1, "qSeq": 1536, "kvSeq": 1536, "heads": 24, "headDim": 128 }, | |
| "attrs": { "num_heads": 24, "scale": 0.08838834764831845 }, | |
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| "keyT": { "shape": [1, 1536, 3072], "dtype": "float32", "dist": "normal", "seed": 361, "scale": 0.2 }, | |
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| "bench": { | |
| "primary": true, | |
| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
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| }, | |
| "tunableSpace": { "MATERIALIZED_FUSED_SOFTMAX_MIN_SCORE_BYTES": [16777216, 268435456] } | |
| }, | |
| { | |
| "name": "encoder-prefill-q1500-kv1500-h6-d64-tail", | |
| "preset": "model", | |
| "vars": { "batch": 1, "qSeq": 1500, "kvSeq": 1500, "heads": 6, "headDim": 64 }, | |
| "attrs": { "num_heads": 6, "scale": 0.125 }, | |
| "tunableSpace": { | |
| "MATERIALIZED_SGMAT_QUERY_TILE": [16, 32, 64], | |
| "MATERIALIZED_SGMAT_KEY_TILE": [32, 64], | |
| "MATERIALIZED_FUSED_SOFTMAX_MIN_SCORE_BYTES": [16777216, 268435456] | |
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| "inputs": { | |
| "queryT": { "shape": [1, 1500, 384], "dtype": "float32", "dist": "normal", "seed": 460, "scale": 0.2 }, | |
| "keyT": { "shape": [1, 1500, 384], "dtype": "float32", "dist": "normal", "seed": 461, "scale": 0.2 }, | |
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| "outputs": { "outputT": { "shape": [1, 1500, 384], "dtype": "float32" } }, | |
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| "metrics": [ | |
| { "type": "gflops", "value": "4 * args.batch * args.qSeq * args.kvSeq * args.heads * args.headDim" } | |
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| }, | |
| { | |
| "name": "decode-cross-q1-kv1500-h6-d64-underfilled-wide-subgroup", | |
| "preset": "model", | |
| "vars": { "batch": 1, "qSeq": 1, "kvSeq": 1500, "heads": 6, "headDim": 64 }, | |
| "attrs": { "num_heads": 6 }, | |
| "tunableSpace": { | |
| "WORKGROUP_SIZE": [64, 128, 256], | |
| "DECODE_MAX_SPLITS": [4, 6, 8, 10, 12, 16], | |
| "DECODE_KEYS_PER_SPLIT": [128] | |
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| "inputs": { | |
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| "outputs": { "outputT": { "shape": [1, 1, 384], "dtype": "float32" } }, | |
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| "metrics": [ | |
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| { | |
| "type": "gflops", | |
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| { | |
| "name": "flux2-joint-attn-img512-s1536-24h-d128-bias", | |
| "preset": "model", | |
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