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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
#### 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.
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.github/ISSUE_TEMPLATE/tflite-op-request.md
``` # 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.
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.github/ISSUE_TEMPLATE/tflite-other.md
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:
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RELEASE.md
strings and takes care of text standardization, tokenization, n-gram generation, and vocabulary indexing. See this [end-to-end text classification example](https://colab.research.google.com/drive/1RvCnR7h0_l4Ekn5vINWToI9TNJdpUZB3). * Keras `.compile` `.fit` `.evaluate` and `.predict` are allowed to be outside of the DistributionStrategy scope, as long as the model was
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docs/es/docs/async.md
En lugar de eso, al ser un sistema "asíncrono", una vez finalizada, la tarea puede esperar un poco en la cola (algunos microsegundos) para que la computadora / programa termine lo que estaba haciendo, y luego vuelva para recoger los resultados y seguir trabajando con ellos.
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docs/pt/docs/tutorial/security/first-steps.md
Isso ocorre porque está utilizando o mesmo nome que está nas especificações do OpenAPI. Então, se você precisa investigar mais sobre qualquer um desses esquemas de segurança, você pode simplesmente copiar e colar para encontrar mais informações sobre isso. A variável `oauth2_scheme` é um instância de `OAuth2PasswordBearer`, mas também é um "callable". Pode ser chamada de: ```Python oauth2_scheme(some, parameters)
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okhttp/src/test/java/okhttp3/internal/http2/Http2ConnectionTest.kt
} sink1.writeUtf8("def") sink1.close() assertFailsWith<ConnectionShutdownException> { connection.newStream(headerEntries("c", "cola"), true) } assertThat(stream1.isOpen).isTrue() assertThat(stream2.isOpen).isFalse() assertThat(connection.openStreamCount()).isEqualTo(1) // Verify the peer received what was expected.
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