{
  "schemaVersion": 1,
  "lessonId": "deployment-08",
  "contentHash": "ca01511bddec81ea2245eb5085cd368dc5d5c02708cf83929268b92134ae94f5",
  "executedAt": "2026-10-20T10:50:37.934658+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Maximum absolute error per layer: {'hidden': 2.384185791015625e-07, 'norm': 3.5762786865234375e-07, 'activation': 3.5762786865234375e-07, 'output': 1.1920928955078125e-07}\nWrong epsilon: first mismatch is norm; intermediate outputs and input gradients verified on CPU.\nMaximum absolute error per layer: {'hidden': 2.384185791015625e-07, 'norm': 3.5762786865234375e-07, 'activation': 3.5762786865234375e-07, 'output': 1.1920928955078125e-07}\nWrong epsilon: first mismatch is norm; intermediate outputs and input gradients verified on CPU.\nPer-layer wrong-epsilon report: {'hidden': {'max_abs': 2.384185791015625e-07, 'relative_l2': 3.5662515782829134e-08, 'passed': True}, 'norm': {'max_abs': 0.046508073806762695, 'relative_l2': 0.018277932316979384, 'passed': False}, 'activation': {'max_abs': 0.05144989490509033, 'relative_l2': 0.022399576976497533, 'passed': False}, 'output': {'max_abs': 0.011958837509155273, 'relative_l2': 0.013684121610437203, 'passed': False}}\nNear-zero, excessive near-zero, large-value: True False True\nNear-zero acceptance and rejection verified.\nWrong source layout rejected\nNonuniform cotangent input-gradient parity: {'max_abs': 2.086162567138672e-07, 'relative_l2': 4.910744924550249e-07, 'passed': True}\nPASS: deployment-08\n",
  "notebookCells": [
    {
      "sourceHash": "5859a5fcef94d1f6c3153c6c2625135a72b8d74595f8023b93a10fbc2a3b3e51",
      "outputs": []
    },
    {
      "sourceHash": "ee28c08c90d340ec0bbfe1b68e3c1a6165bf475469703583cc1ce8ed7deb3eeb",
      "outputs": []
    },
    {
      "sourceHash": "85fbdd2da8a0c199b1f8b457665e9c3910b15e50af51c9624c9fb79b057c5335",
      "outputs": []
    },
    {
      "sourceHash": "090bf2657d099be9fff08fec5f22e720f620eaacd30ddfd2f40e8ee1e4d7237f",
      "outputs": []
    },
    {
      "sourceHash": "d97ba5dfdba19716c19af2510c92f6d9d78dacdd610a41dd6302cc4f1ed0a3d7",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Maximum absolute error per layer: {'hidden': 2.384185791015625e-07, 'norm': 3.5762786865234375e-07, 'activation': 3.5762786865234375e-07, 'output': 1.1920928955078125e-07}\n",
            "Wrong epsilon: first mismatch is norm; intermediate outputs and input gradients verified on CPU.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "8369ac9a6d6c3347f297d40867a6439c97250967321bba5471c47b034a59cc8b",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Maximum absolute error per layer: {'hidden': 2.384185791015625e-07, 'norm': 3.5762786865234375e-07, 'activation': 3.5762786865234375e-07, 'output': 1.1920928955078125e-07}\n",
            "Wrong epsilon: first mismatch is norm; intermediate outputs and input gradients verified on CPU.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "0775ef293857f0e2f3f68cc2e9523495b8fa4044b1f201ddf6bacfa4f4a3372f",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "ffc09a46f26fd471b12d7f1a95217fdb2d3721ebd035fa294cf3525b40c940f5",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Per-layer wrong-epsilon report: {'hidden': {'max_abs': 2.384185791015625e-07, 'relative_l2': 3.5662515782829134e-08, 'passed': True}, 'norm': {'max_abs': 0.046508073806762695, 'relative_l2': 0.018277932316979384, 'passed': False}, 'activation': {'max_abs': 0.05144989490509033, 'relative_l2': 0.022399576976497533, 'passed': False}, 'output': {'max_abs': 0.011958837509155273, 'relative_l2': 0.013684121610437203, 'passed': False}}\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "4536aea4002f496247fd3088becd627bb9f8a75e46da3be9f417afabaa948b4b",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Near-zero, excessive near-zero, large-value: True False True\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "20653722c46bbfff4d6759a7c2f812c6078cb80ce8c5bd2fa8dc1fb77a577da4",
      "outputs": []
    },
    {
      "sourceHash": "64f89c11580275f764d7e3c294b0ab73d2e4f0324bc638e097a9fc7e5e7a4355",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Near-zero acceptance and rejection verified.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "db4b6c913d142adc8293d437acb25d16733210337d06054ad6ad7f6c9b8abb29",
      "outputs": []
    },
    {
      "sourceHash": "a0d7d27f524e6947f7576eba8e4f29323d5d1a9f9b7aa3e6365a391762e5b99f",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Wrong source layout rejected\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "1b6bd6c4213081ebe0ea4a255ba8d381079aa52c2997733134f2a94e1a63493a",
      "outputs": []
    },
    {
      "sourceHash": "609b86ea97ab824bfa1ff2274910bbaa55b7465f17024d1833af0ef306970806",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Nonuniform cotangent input-gradient parity: {'max_abs': 2.086162567138672e-07, 'relative_l2': 4.910744924550249e-07, 'passed': True}\n"
          ]
        }
      ]
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}
