pkg image, method (*Alpha16) SetRGBA64(int, int, color.RGBA64)
pkg image, method (*CMYK) RGBA64At(int, int) color.RGBA64
pkg image, method (*CMYK) SetRGBA64(int, int, color.RGBA64)
pkg image, method (*Gray) RGBA64At(int, int) color.RGBA64
pkg image, method (*Gray) SetRGBA64(int, int, color.RGBA64)
pkg image, method (*Gray16) RGBA64At(int, int) color.RGBA64
pkg image, method (*Gray16) SetRGBA64(int, int, color.RGBA64)

EAAI2C,EAAK3C,IACrBa,EAAO2N,KAAM1N,EAAU2X,EAAMzY,GAAK4B,GAGnC,OAAa,EAANe,EAAU9B,EAAOqP,WAAYtO,GAAQA,GAE7C0M,OAAQ,SAAUxN,GACjB,OAAOjD,KAAK6D,UAAW6W,EAAQ1a,KAAMiD,GAAY,IAAI,KAEtD8R,IAAK,SAAU9R,GACd,OAAOjD,KAAK6D,UAAW6W,EAAQ1a,KAAMiD,GAAY,IAAI,KAEtDoX,GAAI,SAAUpX,GACb,QAASyX,EACR1a,KAIoB,iBAAbiD,GAAyBuX,EAAc/M,KAAMxK,GACnDD,EAAQC,GACRA,GAAY,IACb,GACCK,UASJ,IAAIuX,EAMH1P,EAAa,uCAENnI,EAAOG,GAAGC,KAAO,SAAUH,EAAUC,EAASqS,GACpD,IAAIzI,EAAOzI,EAGX,IAAMpB,EACL,OAAOjD,KAQR,GAHAuV,EAAOA,GAAQsF,EAGU,iBAAb5X...

* Nawet zależności mogą mieć zależności, tworząc hierarchię lub **"graf" zależności**.
* Wszystko jest **obsługiwane automatycznie** przez framework.

            ":env",
            ":logging",
            ":tf_status",
            ":tf_tensor",
            "//tensorflow/c/experimental/filesystem:modular_filesystem",
            "//tensorflow/cc:grad_ops",
            "//tensorflow/cc:gradients",
            "//tensorflow/cc:ops",
            "//tensorflow/cc:scope_internal",
            "//tensorflow/cc:while_loop",

        "//tensorflow/c:c_api",
        "//tensorflow/c:c_test_util",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c/experimental/gradients:array_grad",
        "//tensorflow/c/experimental/gradients:math_grad",
        "//tensorflow/c/experimental/gradients:not_differentiable",
        "//tensorflow/c/experimental/gradients/tape:tape_context",
        "//tensorflow/c/experimental/ops",

    ],
)

cc_library(
    name = "gradients",
    hdrs = [
        "array_grad.h",
        "math_grad.h",
        "nn_grad.h",
        "not_differentiable.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":array_grad",
        ":math_grad",
        ":nn_grad",
        ":not_differentiable",
        "//tensorflow/c/eager:abstract_context",

    while (taskFaker.isIdle()) {
      set("a", "a", "a")
      set("b", "b", "b")
    }
    val commitEditor = cache.edit("c")!!
    val abortEditor = cache.edit("d")!!
    cache.edit("e") // Grab an editor, but don't do anything with it.

    // Cause the rebuild action to fail.
    filesystem.setFaultyRename(cacheDir / DiskLruCache.JOURNAL_FILE_BACKUP, true)
    taskFaker.runNextTask()

            instead.
        *   `tf.batch_mat_mul_v3` (accidentally introduced in TensorFlow 2.6):
            Use `tf.linalg.matmul` instead.
        *   `tf.sparse_segment_sum_grad` (accidentally introduced in TensorFlow
            2.6): Use `tf.raw_ops.SparseSegmentSumGrad` instead. Directly
            calling this op is typically not necessary, as it is automatically

# Enlaces Externos y Artículos

**FastAPI** tiene una gran comunidad en constante crecimiento.

Hay muchas publicaciones, artículos, herramientas y proyectos relacionados con **FastAPI**.

Aquí hay una lista incompleta de algunos de ellos.

!!! tip "Consejo"

EAAI2C,EAAK3C,IACrBa,EAAO2N,KAAM1N,EAAU2X,EAAMzY,GAAK4B,GAGnC,OAAa,EAANe,EAAU9B,EAAOqP,WAAYtO,GAAQA,GAE7C0M,OAAQ,SAAUxN,GACjB,OAAOjD,KAAK6D,UAAW6W,EAAQ1a,KAAMiD,GAAY,IAAI,KAEtD8R,IAAK,SAAU9R,GACd,OAAOjD,KAAK6D,UAAW6W,EAAQ1a,KAAMiD,GAAY,IAAI,KAEtDoX,GAAI,SAAUpX,GACb,QAASyX,EACR1a,KAIoB,iBAAbiD,GAAyBuX,EAAc/M,KAAMxK,GACnDD,EAAQC,GACRA,GAAY,IACb,GACCK,UASJ,IAAIuX,EAMH1P,EAAa,uCAENnI,EAAOG,GAAGC,KAAO,SAAUH,EAAUC,EAASqS,GACpD,IAAIzI,EAAOzI,EAGX,IAAMpB,EACL,OAAOjD,KAQR,GAHAuV,EAAOA,GAAQsF,EAGU,iBAAb5X...