| {"definition":"loop_108","workload":{"axes":{"N":1},"inputs":{"rgba":{"type":"random"}},"uuid":"9e355256598e5974ada0e65a89d513ba","tags":{"source":"edge"},"description":null},"solution":"reference-scalar_loop_108","evaluation":{"status":"RUNTIME_ERROR","environment":{"hardware":"aarch64-ip-172-31-59-130","cpu_pinned":0,"libs":{"python":"3.12.3","numpy":"2.4.6"}},"timestamp":"2026-06-15T03:15:58.821290+00:00","log":"gen_inputs failed: dtype DType.UINT32 not yet supported by inputs.py\nTraceback (most recent call last):\n File \"/home/ubuntu/arm-bench/bench/evaluators/default.py\", line 51, in build_baseline\n np_inputs = gen_inputs_for_workload(definition, workload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 160, in gen_inputs_for_workload\n out[tname] = _gen_random_tensor(shape, _dtype_to_np(tspec.dtype), rng)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 124, in _dtype_to_np\n raise NotImplementedError(f\"dtype {dt} not yet supported by inputs.py\")\nNotImplementedError: dtype DType.UINT32 not yet supported by inputs.py\n","correctness":null,"performance":null}} |
| {"definition":"loop_108","workload":{"axes":{"N":7},"inputs":{"rgba":{"type":"random"}},"uuid":"5426013671ee59d1a0599ea232ba73e8","tags":{"source":"edge"},"description":null},"solution":"reference-scalar_loop_108","evaluation":{"status":"RUNTIME_ERROR","environment":{"hardware":"aarch64-ip-172-31-59-130","cpu_pinned":0,"libs":{"python":"3.12.3","numpy":"2.4.6"}},"timestamp":"2026-06-15T03:15:58.821290+00:00","log":"gen_inputs failed: dtype DType.UINT32 not yet supported by inputs.py\nTraceback (most recent call last):\n File \"/home/ubuntu/arm-bench/bench/evaluators/default.py\", line 51, in build_baseline\n np_inputs = gen_inputs_for_workload(definition, workload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 160, in gen_inputs_for_workload\n out[tname] = _gen_random_tensor(shape, _dtype_to_np(tspec.dtype), rng)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 124, in _dtype_to_np\n raise NotImplementedError(f\"dtype {dt} not yet supported by inputs.py\")\nNotImplementedError: dtype DType.UINT32 not yet supported by inputs.py\n","correctness":null,"performance":null}} |
| {"definition":"loop_108","workload":{"axes":{"N":9999},"inputs":{"rgba":{"type":"random"}},"uuid":"ac8ed2981cad59b1aeb36b2c70786bb0","tags":{"source":"edge"},"description":null},"solution":"reference-scalar_loop_108","evaluation":{"status":"RUNTIME_ERROR","environment":{"hardware":"aarch64-ip-172-31-59-130","cpu_pinned":0,"libs":{"python":"3.12.3","numpy":"2.4.6"}},"timestamp":"2026-06-15T03:15:58.821290+00:00","log":"gen_inputs failed: dtype DType.UINT32 not yet supported by inputs.py\nTraceback (most recent call last):\n File \"/home/ubuntu/arm-bench/bench/evaluators/default.py\", line 51, in build_baseline\n np_inputs = gen_inputs_for_workload(definition, workload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 160, in gen_inputs_for_workload\n out[tname] = _gen_random_tensor(shape, _dtype_to_np(tspec.dtype), rng)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 124, in _dtype_to_np\n raise NotImplementedError(f\"dtype {dt} not yet supported by inputs.py\")\nNotImplementedError: dtype DType.UINT32 not yet supported by inputs.py\n","correctness":null,"performance":null}} |
| {"definition":"loop_108","workload":{"axes":{"N":10001},"inputs":{"rgba":{"type":"random"}},"uuid":"34466b56eb3b5952acc996b0a9667d3d","tags":{"source":"edge"},"description":null},"solution":"reference-scalar_loop_108","evaluation":{"status":"RUNTIME_ERROR","environment":{"hardware":"aarch64-ip-172-31-59-130","cpu_pinned":0,"libs":{"python":"3.12.3","numpy":"2.4.6"}},"timestamp":"2026-06-15T03:15:58.821290+00:00","log":"gen_inputs failed: dtype DType.UINT32 not yet supported by inputs.py\nTraceback (most recent call last):\n File \"/home/ubuntu/arm-bench/bench/evaluators/default.py\", line 51, in build_baseline\n np_inputs = gen_inputs_for_workload(definition, workload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 160, in gen_inputs_for_workload\n out[tname] = _gen_random_tensor(shape, _dtype_to_np(tspec.dtype), rng)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 124, in _dtype_to_np\n raise NotImplementedError(f\"dtype {dt} not yet supported by inputs.py\")\nNotImplementedError: dtype DType.UINT32 not yet supported by inputs.py\n","correctness":null,"performance":null}} |
| {"definition":"loop_108","workload":{"axes":{"N":8000000},"inputs":{"rgba":{"type":"random"}},"uuid":"1829cbb347a6523d862a7242bd9240e5","tags":{"source":"perf"},"description":null},"solution":"reference-scalar_loop_108","evaluation":{"status":"RUNTIME_ERROR","environment":{"hardware":"aarch64-ip-172-31-59-130","cpu_pinned":0,"libs":{"python":"3.12.3","numpy":"2.4.6"}},"timestamp":"2026-06-15T03:15:58.821290+00:00","log":"gen_inputs failed: dtype DType.UINT32 not yet supported by inputs.py\nTraceback (most recent call last):\n File \"/home/ubuntu/arm-bench/bench/evaluators/default.py\", line 51, in build_baseline\n np_inputs = gen_inputs_for_workload(definition, workload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 160, in gen_inputs_for_workload\n out[tname] = _gen_random_tensor(shape, _dtype_to_np(tspec.dtype), rng)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 124, in _dtype_to_np\n raise NotImplementedError(f\"dtype {dt} not yet supported by inputs.py\")\nNotImplementedError: dtype DType.UINT32 not yet supported by inputs.py\n","correctness":null,"performance":null}} |
| {"definition":"loop_108","workload":{"axes":{"N":32000000},"inputs":{"rgba":{"type":"random"}},"uuid":"67e882c66af45a2dba1efd9e2bba27b5","tags":{"source":"perf"},"description":null},"solution":"reference-scalar_loop_108","evaluation":{"status":"RUNTIME_ERROR","environment":{"hardware":"aarch64-ip-172-31-59-130","cpu_pinned":0,"libs":{"python":"3.12.3","numpy":"2.4.6"}},"timestamp":"2026-06-15T03:15:58.821290+00:00","log":"gen_inputs failed: dtype DType.UINT32 not yet supported by inputs.py\nTraceback (most recent call last):\n File \"/home/ubuntu/arm-bench/bench/evaluators/default.py\", line 51, in build_baseline\n np_inputs = gen_inputs_for_workload(definition, workload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 160, in gen_inputs_for_workload\n out[tname] = _gen_random_tensor(shape, _dtype_to_np(tspec.dtype), rng)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/ubuntu/arm-bench/bench/runtime/inputs.py\", line 124, in _dtype_to_np\n raise NotImplementedError(f\"dtype {dt} not yet supported by inputs.py\")\nNotImplementedError: dtype DType.UINT32 not yet supported by inputs.py\n","correctness":null,"performance":null}} |
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