2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```

        "//tensorflow/lite/c:common",
        "//tensorflow/lite/core/api",
        "//tensorflow/lite/delegates/flex:delegate",
        "//tensorflow/lite/kernels/internal:compatibility",
        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/kernels:reference_ops",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite/toco/logging:conversion_log_util",

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version

name: TensorFlow Lite Other Issue description: Use this template to report any
issue in TensorFlow Lite that is not about Converters, Play Services or Ops
body: - type: dropdown id: issue-type attributes: label: Issue Type description:
What type of issue would you like to report? multiple: false options: - Bug -
Build/Install - Performance - Support - Feature Request - Documentation Feature
Request - Documentation Bug - Others validations: required: true - type:

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

        } else {
          mainMethod.invoke(null, arrayOf<String>())
        }
      } else {
        System.err.println("No main for $className")
      }
    } catch (ite: InvocationTargetException) {
      if (!expectedFailure(className, ite.cause!!)) {
        throw ite.cause!!
      }
    }
  }

  @Suppress("UNUSED_PARAMETER")
  private fun expectedFailure(
    className: String,
    cause: Throwable,
  ): Boolean {

    requires-port "^1.0.0"

iconv-lite@0.4.24:
  version "0.4.24"
  resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.4.24.tgz#2022b4b25fbddc21d2f524974a474aafe733908b"
  integrity sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==
  dependencies:
    safer-buffer ">= 2.1.2 < 3"

iconv-lite@^0.6.3:
  version "0.6.3"

- Kubeadm: IPv6DualStack feature gate graduates to Beta and enabled by default ([#99294](https://github.com/kubernetes/kubernetes/pull/99294), [@pacoxu](https://github.com/pacoxu))
- Kubeadm: a warning to user as ipv6 site-local is deprecated ([#99574](https://github.com/kubernetes/kubernetes/pull/99574), [@pacoxu](https://github.com/pacoxu)) [SIG Cluster Lifecycle and Network]

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    - 🤖 An automatically generated frontend client.

    - 💾 [PostgreSQL](https://www.postgresql.org) como la base de datos SQL.
- 🚀 [React](https://react.dev) para el frontend.
    - 💃 Usando TypeScript, hooks, [Vite](https://vitejs.dev) y otras partes de un stack de frontend moderno.
    - 🎨 [Chakra UI](https://chakra-ui.com) para los componentes del frontend.
    - 🤖 Un cliente frontend generado automáticamente.