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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
- Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **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 or attach code demonstrating
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tensorflow/c/experimental/gradients/tape/BUILD
# A tape built on top of unified execution APIs. load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) cc_library( name = "tape_context", srcs = ["tape_context.cc"], hdrs = [ "tape_context.h", ], visibility = [ "//tensorflow:internal", ], deps = [
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tensorflow/c/eager/c_api_unified_experimental.h
extern "C" { #endif // ============================================================================= // Unified Execution APIs for Eager and tracing backends. // ============================================================================= // ----------------------------------------------------------------------------- // Core APIs // -----------------------------------------------------------------------------
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/__init__.py
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.platform import flags # pylint: disable=g-import-not-at-top from tensorflow.python.platform import app # pylint: disable=g-import-not-at-top app.flags = flags # These symbols appear because we import the python package which # in turn imports from tensorflow.core and tensorflow.python. They
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Sep 28 21:37:05 GMT 2021 - 1.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/BUILD
# Experimental filesystem C APIs for TensorFlow. # Will be moved in proper place once all filesystems are converted to the # modular framework. load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface",
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ci/official/envs/macos_x86_cross_compile
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1 TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk" TFCI_MACOS_CROSS_COMPILE_SDK_SOURCE="/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk"
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tensorflow/api_template_v1.__init__.py
# "contrib". if "__all__" in vars(): vars()["__all__"].append("contrib") from tensorflow.python.platform import flags # The "app" module will be imported as part of the placeholder section above. _current_module.app.flags = flags # pylint: disable=undefined-variable setattr(_current_module, "flags", flags) _major_api_version = 1 # Add module aliases from Keras to TF.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
// ============================================================================= // Implementation detail for the unified execution APIs for Eager and tracing // backends (graph/MLIR). // // This defines a set of abstract classes that are intended to provide the // functionality of the opaque C types exposed in the public APIs defined in the // `c_api_unified_experimental.h` header.
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tensorflow/c/eager/gradients_internal.h
namespace tensorflow { namespace gradients { namespace internal { // Helper functions which delegate to `AbstractOperation`, update // the state of the ForwardOperation and call the tape as appropriate. // These APIs are mainly to facilitate testing and are subject to change. // Records the op name in the `ForwardOperation`. Status Reset(AbstractOperation*, const char* op, const char* raw_device_name, ForwardOperation*);
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tensorflow/c/experimental/next_pluggable_device/c_api.h
// --------------------- Coordination service -------------------------------- // Returns a not owning pointer to the coordination service agent, which is // opaque to plugin. Plugin OpKernels need to use the accompanying C APIs to // access coordination service functionalities. TF_CAPI_EXPORT extern TF_CoordinationServiceAgent* TF_GetCoordinationServiceAgent(TF_OpKernelContext* ctx);
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