{
  "experiment": "Vision and attention mechanism tests 1.0",
  "environment": {
    "python": "3.13.5",
    "torch": "2.10.0+cpu",
    "platform": "Linux-6.18.44-x86_64-with-glibc2.41",
    "threads": 1
  },
  "source_sha256": "d791adc170c24b466f67a87992636183b85f40aff5a7d22e8376cc648ae96090",
  "tests": [
    {
      "name": "conv_channels_masked_equivalence",
      "status": "passed",
      "max_abs_error": 0.0,
      "original_parameters": 663,
      "pruned_parameters": 333
    },
    {
      "name": "attention_heads_masked_equivalence",
      "status": "passed",
      "max_abs_error": 0.0,
      "original_parameters": 4224,
      "pruned_parameters": 2128,
      "external_width": 32,
      "original_inner_width": 32,
      "pruned_inner_width": 16
    },
    {
      "name": "single_conv_halo_tile_7",
      "status": "passed",
      "max_abs_error": 0.0
    },
    {
      "name": "single_conv_halo_tile_16",
      "status": "passed",
      "max_abs_error": 0.0
    },
    {
      "name": "single_conv_halo_tile_64",
      "status": "passed",
      "max_abs_error": 0.0
    },
    {
      "name": "per_tile_groupnorm_is_not_equivalent",
      "status": "expected_mismatch_confirmed",
      "max_abs_error": 0.6779048442840576
    },
    {
      "name": "tokenwise_ffn_chunking",
      "status": "passed",
      "max_abs_error": 0.0
    },
    {
      "name": "invalid_head_indices_rejected",
      "status": "passed"
    }
  ],
  "limitations": [
    "Random inputs and randomly initialized modules",
    "No learned task quality or compression benchmark",
    "No diffusion checkpoint, video dataset, GPU, or Android execution",
    "No peak RAM measurement; output buffers are retained for testing"
  ]
}