#ifndef TENSORFLOW_C_C_OP_REQUIRES_H_
#define TENSORFLOW_C_C_OP_REQUIRES_H_

#include "tensorflow/core/platform/macros.h"

namespace tensorflow {

// Convenience macros for asserting and handling exceptional conditions, for
// C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus
// to the macros in tensorflow/core/framework/op_requires.h. This is provided
// for plugin OpKernel developer's convenience.

Ce découplage des parties, et le fait d'être un "micro-framework" qui puisse être étendu pour couvrir exactement ce
qui est nécessaire, était une caractéristique clé que je voulais conserver.

Compte tenu de la simplicité de Flask, il semblait bien adapté à la création d'API. La prochaine chose à trouver était un "Django REST Framework" pour Flask.

!!! check "A inspiré **FastAPI** à"

La hiérarchie est la suivante :

* **Uvicorn** : un serveur ASGI
    * **Starlette** : (utilise Uvicorn) un micro-framework web
        * **FastAPI**: (utilise Starlette) un micro-framework pour API disposant de fonctionnalités additionnelles pour la création d'API, avec la validation des données, etc.

* **Uvicorn** :

    }

    private
    fun VersionNumber.format() =
        // reformat according to our versioning scheme, since toString() would typically convert 1.0 to 1.0.0
        GradleVersion.version("$major.${minor}${if (micro > 0) ".$micro" else ""}${if (qualifier != null) "-$qualifier" else ""}")

    /*
     * We use double-checked locking. We could the try racy single-check idiom, but that would
     * depend on Logger not contain mutable state.
     *
     * We could use Suppliers.memoizingSupplier here, but I micro-optimized to this implementation
     * to avoid the extra class for the lambda (and maybe more for memoizingSupplier itself) and the
     * indirection.
     *

Complete documentation available at https://docs.deta.sh

Usage:
  deta [flags]
  deta [command]

Available Commands:
  auth        Change auth settings for a deta micro

...
```

</div>

!!! tip "提示"

    安装 CLI 遇到问题时，请参阅 <a href="https://docs.deta.sh/docs/micros/getting_started?ref=fastapi" class="external-link" target="_blank">Deta 官档</a>。

## 使用 CLI 登录

    minisign -Vqm /go/bin/mc -x /go/bin/mc.minisig -P RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGav

FROM registry.access.redhat.com/ubi9/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <******@****.***>" \
      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \

)

cc_library(
    name = "grappler_hdrs",
    hdrs = ["grappler.h"],
    visibility = ["//tensorflow:internal"],
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:c_api_macros",
        "//tensorflow/c:tf_status_headers",
    ],
)

cc_library(
    name = "grappler",
    srcs = ["grappler.cc"],
    hdrs = [
        "grappler.h",
        "grappler_internal.h",
    ],

Lóránt Pintér <******@****.***>
Lóránt Pintér <******@****.***> <******@****.***>
Lóránt Pintér <******@****.***> <******@****.***>
Marcin Erdmann <******@****.***> <******@****.***>
Marco Vermeulen <marco@gradle.com> <******@****.***>
Mark Vieira <******@****.***> <******@****.***>
Michael Barnathan <******@****.***> <******@****.***>
Paul King <******@****.***> <******@****.***>

==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_TFE_CANCELLATION_MANAGER_INTERNAL_H_
#define TENSORFLOW_C_EAGER_TFE_CANCELLATION_MANAGER_INTERNAL_H_

#include "tensorflow/c/conversion_macros.h"
#include "tensorflow/core/framework/cancellation.h"

struct TFE_CancellationManager;
typedef struct TFE_CancellationManager TFE_CancellationManager;

namespace tensorflow {