venv/

# Android
.gradle
.idea
*.iml
local.properties
gradleBuild

# iOS
*.pbxproj
*.xcworkspace
/*.podspec
/tensorflow/lite/**/coreml/**/BUILD
/tensorflow/lite/**/ios/BUILD
/tensorflow/lite/**/objc/BUILD
/tensorflow/lite/**/swift/BUILD
/tensorflow/lite/examples/ios/simple/data/*.tflite
/tensorflow/lite/examples/ios/simple/data/*.txt
Podfile.lock
Pods

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// This program can be used as go_ios_$GOARCH_exec by the Go tool. It executes
// binaries on the iOS Simulator using the XCode toolchain.
package main

import (
	"fmt"
	"go/build"
	"log"
	"os"
	"os/exec"
	"path/filepath"
	"runtime"
	"strings"
	"syscall"
)

const debug = false

common:macos_arm64 --platforms=@build_bazel_apple_support//platforms:darwin_arm64

# iOS configs for each architecture and the fat binary builds.
common:ios --apple_platform_type=ios
common:ios --copt=-fembed-bitcode
common:ios --copt=-Wno-c++11-narrowing
common:ios --config=clang_local
common:ios --config=apple-toolchain
common:ios_armv7 --config=ios
common:ios_armv7 --cpu=ios_armv7

			major |= uint32((dev & 0xfffff00000000000) >> 32)
			minor := uint32((dev & 0x00000000000000ff) >> 0)
			minor |= uint32((dev & 0x00000ffffff00000) >> 12)
			h.Devmajor, h.Devminor = int64(major), int64(minor)
		case "darwin", "ios":
			// Copied from golang.org/x/sys/unix/dev_darwin.go.
			major := uint32((dev >> 24) & 0xff)
			minor := uint32(dev & 0xffffff)
			h.Devmajor, h.Devminor = int64(major), int64(minor)
		case "dragonfly":

]

# List of files to configure when building Bazel on Apple platforms.
APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',
    'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
]

# List of files to move when building for iOS.
IOS_FILES = [
    'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',
    'tensorflow/lite/swift/TensorFlowLiteSwift.podspec',
]

This platform is agnostic to what kind of software is being developed.
It might be Java or Kotlin libraries running on the JVM, Gradle plugins, Android or iOS applications, C++ libraries, and so on.

This platform does not provide special support for a particular language or ecosystem.

#### JVM platform

        ":macos_arm64",
    ],
    visibility = ["//visibility:public"],
)

config_setting(
    name = "ios",
    constraint_values = if_google(
        ["@platforms//os:ios"],
        [],
    ),
    values = if_oss(
        {"apple_platform_type": "ios"},
        {},
    ),
    visibility = ["//visibility:public"],
)

# TODO(jakeharmon8): Remove in favor of TSL version

    // Under that assumption, the remaining references can be safely marked as @Weak.
    // Using @Weak is necessary to avoid retain-cycles between Node instances on iOS,
    // which would cause memory leaks when non-empty HashBiMap with cyclic Node
    // instances is deallocated.
    @Nullable Node<K, V> nextInKToVBucket;
    @Weak @Nullable Node<K, V> nextInVToKBucket;

*   [Performance] Increase performance of `tf.layers.conv2d` when setting
    use_bias=True by 2x by using nn.bias_add.
*   Update iOS examples to use CocoaPods, and moved to tensorflow/examples/ios.
*   Adds a family= attribute in `tf.summary` ops to allow controlling the tab
    name used in Tensorboard for organizing summaries.