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| "op": "ai.onnx.Loop", |
| "cases": [ |
| { |
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| "step": { "dtype": "float32", "shape": [128], "dist": "normal", "seed": 8102, "scale": 0.1 } |
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| "bench": { "metrics": [{ "type": "bandwidth", "value": "2 * 4 * numel(shapes.scan_output)" }] } |
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| { |
| "name": "lowered_PATHO_singlelane_serial_dim2048_steps512", |
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| "step": { "dtype": "float32", "shape": [2048], "dist": "normal", "seed": 8104, "scale": 0.1 } |
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| }, |
| { |
| "name": "lowered_PATHO_singlelane_serial_dim4096_steps1024", |
| "preset": "smoke", |
| "inputs": { |
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| "outputs": { |
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| "bench": { "metrics": [{ "type": "bandwidth", "value": "2 * 4 * numel(shapes.scan_output)" }] } |
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| { |
| "name": "lowered_PATHO_smalldim2_singlelane_steps8192", |
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| { |
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| "bench": { "metrics": [{ "type": "bandwidth", "value": "2 * 4 * numel(shapes.scan_output)" }] } |
| } |
| ] |
| } |
|
|
