chore: import upstream snapshot with attribution

.github/ISSUE_TEMPLATE/config.yml

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+# Copyright 2025 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+blank_issues_enabled: false

.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml

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+# Copyright 2026 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+
+name: TensorFlow Issue Template
+description: Use this template to report TensorFlow-related issues
+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: markdown
+    attributes:
+      value: |
+        Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub.
+
+  - type: dropdown
+    id: tf-nightly
+    attributes:
+      label: Have you reproduced the bug with TensorFlow Nightly?
+      description: It is strongly suggested that you reproduce the bug with [TensorFlow Nightly](https://www.tensorflow.org/install/pip#nightly)
+      options:
+        - "Yes"
+        - "No"
+    validations:
+      required: true
+
+  - type: markdown
+    attributes:
+      value: |
+        You can collect some of this information using our [environment capture script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh). You can also obtain the TensorFlow version with the following: <br> 1. TensorFlow 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` <br>2. TensorFlow 2.0: `python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"`
+
+  - type: dropdown
+    id: source
+    attributes:
+      label: Source
+      description: TensorFlow installed from
+      options:
+        - source
+        - binary
+    validations:
+      required: true
+
+  - type: input
+    id: tfversion
+    attributes:
+      label: TensorFlow version
+      placeholder: e.g., tf 2.8
+    validations:
+      required: true
+  - type: dropdown
+    id: Code
+    attributes:
+      label: Custom code
+      options:
+        - "Yes"
+        - "No"
+    validations:
+      required: true
+  - type: input
+    id: OS
+    attributes:
+      label: OS platform and distribution
+      placeholder: e.g., Linux Ubuntu 16.04
+  - type: input
+    id: Mobile
+    attributes:
+      label: Mobile device
+      placeholder: e.g., Linux Ubuntu 16.04
+  - type: input
+    id: Python
+    attributes:
+      label: Python version
+      placeholder: e.g., 3.9
+  - type: input
+    id: Bazel
+    attributes:
+      label: Bazel version
+      description: If compiling from source
+  - type: input
+    id: Compiler
+    attributes:
+      label: GCC/compiler version
+      description: If compiling from source
+  - type: input
+    id: Cuda
+    attributes:
+      label: CUDA/cuDNN version
+  - type: input
+    id: Gpu
+    attributes:
+      label: GPU model and memory
+      description: If compiling from source
+  - type: textarea
+    id: what-happened
+    attributes:
+      label: Current behavior?
+      description: Also tell us, what did you expect to happen?
+      placeholder: Tell us what you see!
+    validations:
+      required: true
+  - type: textarea
+    id: code-to-reproduce
+    attributes:
+      label: Standalone code to reproduce the issue
+      description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. Please share a link to Colab, Jupyter, or any notebook.
+      placeholder: Tell us what you see!
+      value:
+      render: shell
+    validations:
+      required: true
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant log output
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+      render: shell

.github/ISSUE_TEMPLATE/tflite-converter-issue.md

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+---
+name: TensorFlow Lite Converter Issue
+about: Use this template for reporting issues during model conversion to TFLite
+labels: 'TFLiteConverter'
+
+---
+
+### 1. System information
+
+- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
+- TensorFlow installation (pip package or built from source):
+- TensorFlow library (version, if pip package or github SHA, if built from source):
+
+### 2. Code
+
+Provide code to help us reproduce your issues using one of the following options:
+
+#### Option A: Reference colab notebooks
+
+1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
+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).
+
+```
+(You can paste links or attach files by dragging & dropping them below)
+- Provide links to your updated versions of the above two colab notebooks.
+- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
+```
+
+#### Option B: Paste your code here or provide a link to a custom end-to-end colab
+
+```
+(You can paste links or attach files by dragging & dropping them below)
+- Include code to invoke the TFLite Converter Python API and the errors.
+- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
+```
+
+### 3. Failure after conversion
+If the conversion is successful, but the generated model is wrong, then state what is wrong:
+
+- Model produces wrong results and/or has lesser accuracy.
+- Model produces correct results, but it is slower than expected.
+
+### 4. (optional) RNN conversion support
+If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.
+
+### 5. (optional) Any other info / logs
+Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

.github/ISSUE_TEMPLATE/tflite-in-play-services.md

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+---
+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
+  (`Settings` > `Apps` > `Google Play Services` > `App details`):
+
+**Standalone code to reproduce the issue**
+Provide a reproducible test case that is the bare minimum necessary to generate
+the problem. If possible, please share a link to or attach code demonstrating
+the problem.
+
+**Any other info / logs**
+Include any logs or source code that would be helpful to diagnose the problem.
+If including tracebacks, please include the full traceback. Large logs and files
+should be attached.

.github/ISSUE_TEMPLATE/tflite-op-request.md

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+---
+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
+```
+
+**Standalone code to reproduce the issue** 
+Provide a reproducible test case that is the bare minimum necessary to generate
+the problem. If possible, please share a link to Colab/Jupyter/any notebook.
+
+Also, please include a link to a GraphDef or the model if possible.
+
+**Any other info / logs**
+
+Include any logs or source code that would be helpful to diagnose the problem.
+If including tracebacks, please include the full traceback. Large logs and files
+should be attached.

.github/ISSUE_TEMPLATE/tflite-other.md

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+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:
+markdown attributes: value: | Please make sure that this is a bug. As per our
+[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we
+only address code/doc bugs, performance issues, feature requests and
+build/installation issues on GitHub.
+
+-   type: markdown
+    attributes:
+      value: |
+        You can collect some of this information using our environment capture [script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh)  You can also obtain the TensorFlow version with: <br> 1. TF 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` <br>2. TF 2.0: `python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"`
+
+-   type: dropdown id: source attributes: label: Source description: Tensorflow
+    installed from options: - source - binary validations: required: true
+
+-   type: input id: tfversion attributes: label: Tensorflow Version description:
+    placeholder: ex,. tf 2.8 validations: required: true
+
+-   type: dropdown id: Code attributes: label: Custom Code description:
+    options: - "Yes" - "No" validations: required: true
+
+-   type: input id: OS attributes: label: OS Platform and Distribution
+    description: placeholder: e.g., Linux Ubuntu 16.04 validations: required:
+    false
+
+-   type: input id: Mobile attributes: label: Mobile device description:
+    placeholder: e.g., Linux Ubuntu 16.04 validations: required: false
+
+-   type: input id: Python attributes: label: Python version description:
+    placeholder: e.g., 3.9 validations: required: false
+
+-   type: input id: Bazel attributes: label: Bazel version description: if
+    compiling from source placeholder: validations: required: false
+
+-   type: input id: Compiler attributes: label: GCC/Compiler version
+    description: if compiling from source placeholder: validations: required:
+    false
+
+-   type: input id: Cuda attributes: label: CUDA/cuDNN version description:
+    placeholder: validations: required: false
+
+-   type: input id: Gpu attributes: label: GPU model and memory description: if
+    compiling from source placeholder: validations: required: false
+
+-   type: textarea id: what-happened attributes: label: Current Behaviour?
+    description: Also tell us, what did you expect to happen? placeholder: Tell
+    us what you see! value: "A bug happened!" render: shell validations:
+    required: true
+
+-   type: textarea id: code-to-reproduce attributes: label: Standalone code to
+    reproduce the issue description: Provide a reproducible test case that is
+    the bare minimum necessary to generate the problem. If possible, please
+    share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you
+    see! value: render: shell validations: required: true
+
+-   type: textarea id: logs attributes: label: Relevant log output description:
+    Please copy and paste any relevant log output. This will be automatically
+    formatted into code, so no need for backticks. render: shell