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docs/en/docs/img/deployment/concepts/process-ram.drawio
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docs/ru/docs/tutorial/extra-data-types.md
* `Decimal`: * Встроенный в Python `Decimal`. * В запросах и ответах обрабатывается так же, как и `float`. * Вы можете проверить все допустимые типы данных pydantic здесь: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Типы данных Pydantic</a>. ## Пример Вот пример *операции пути* с параметрами, который демонстрирует некоторые из вышеперечисленных типов. //// tab | Python 3.8 и выше
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docs/pt/docs/tutorial/extra-data-types.md
* O `Decimal` padrão do Python. * Em requisições e respostas será representado como um `float`. * Você pode checar todos os tipos de dados válidos do Pydantic aqui: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Tipos de dados do Pydantic</a>. ## Exemplo Aqui está um exemplo de *operação de rota* com parâmetros utilizando-se de alguns dos tipos acima. ```Python hl_lines="1 3 12-16"
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tensorflow/c/eager/gradients.h
void Watch(const AbstractTensorHandle*); // Records an operation with given inputs and outputs // on the tape and marks all its outputs as watched if at // least one input of the op is watched and has a trainable dtype. // op_name is optional and is used for debugging only. void RecordOperation(absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> outputs,
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docs/ja/docs/tutorial/extra-data-types.md
* `Decimal`: * Pythonの標準的な`Decimal`です。 * リクエストやレスポンスでは`float`と同じように扱います。 * Pydanticの全ての有効な型はこちらで確認できます: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>。 ## 例 ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。 ```Python hl_lines="1 2 12-16" {!../../docs_src/extra_data_types/tutorial001.py!} ```
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docs/em/docs/tutorial/extra-data-types.md
* 🏗 🔗 🔜 ✔ 👈 ⚫️ `str` ⏮️ `binary` "📁". * `Decimal`: * 🐩 🐍 `Decimal`. * 📨 & 📨, 🍵 🎏 `float`. * 👆 💪 ✅ 🌐 ☑ Pydantic 📊 🆎 📥: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic 📊 🆎</a>. ## 🖼 📥 🖼 *➡ 🛠️* ⏮️ 🔢 ⚙️ 🔛 🆎. //// tab | 🐍 3️⃣.6️⃣ & 🔛 ```Python hl_lines="1 3 12-16"
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 2.6K bytes - Viewed (0) -
docs/ko/docs/tutorial/extra-data-types.md
* 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다. * `Decimal`: * 표준 파이썬의 `Decimal`. * 요청과 응답에서 `float`와 동일하게 다뤄집니다. * 여기에서 모든 유효한 pydantic 데이터 자료형을 확인할 수 있습니다: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic 데이터 자료형</a>. ## 예시 위의 몇몇 자료형을 매개변수로 사용하는 *경로 작동* 예시입니다. //// tab | Python 3.10+ ```Python hl_lines="1 3 12-16"
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requirements_lock_3_11.txt
mdurl==0.1.2 \ --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \ --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba # via markdown-it-py ml-dtypes==0.4.0 \ --hash=sha256:03e7cda6ef164eed0abb31df69d2c00c3a5ab3e2610b6d4c42183a43329c72a5 \ --hash=sha256:2bb83fd064db43e67e67d021e547698af4c8d5c6190f2e9b1c53c09f6ff5531d \
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tensorflow/c/eager/c_api_test_util.cc
TF_Status* status = TF_NewStatus(); // Create the variable handle. TFE_Op* op = TFE_NewOp(ctx, "VarHandleOp", status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op, "dtype", TF_FLOAT); TFE_OpSetAttrShape(op, "shape", {}, 0, status); TFE_OpSetAttrString(op, "container", "localhost", 0); TFE_OpSetAttrString(op, "shared_name", "", 0); if (!device_name.empty()) {
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docs/en/docs/img/deployment/https/https03.drawio
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