This CL renames `kTfLiteActRelu1` to `kTfLiteActReluN1To1` because it has minimum clipping at -1, not 0. Also, This CL finishes renaming because TFLite already uses `kTfLiteBuiltinReluN1To1`, `ActivationFunctionType_RELU_N1_TO_1` for this op. PiperOrigin-RevId: 317589358 Change-Id: I2424104da45234346749b3921d563e9161e809cc |
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.. | ||
BUILD | ||
builtin_op_data_test.cc | ||
builtin_op_data.h | ||
c_api_experimental_test.cc | ||
c_api_experimental.cc | ||
c_api_experimental.h | ||
c_api_internal.h | ||
c_api_test.cc | ||
c_api.cc | ||
c_api.h | ||
common_test.cc | ||
common.c | ||
common.h | ||
exported_symbols.lds | ||
README.md | ||
version_script.lds |
TensorFlow Lite C API
This directory contains C APIs for TensorFlow Lite. This includes C APIs for common types, like kernels and delegates, as well as an explicit C API for inference.
Header summary
Each public C header contains types and methods for specific uses:
common.h
- Contains common C enums, types and methods used throughout TensorFlow Lite. This includes everything from error codes, to the kernel and delegate APIs.builtin_op_data.h
- Contains op-specific data that is used for builtin kernels. This should only be used when (re)implementing a builtin operator.c_api.h
- Contains the TensorFlow Lite C API for inference. The functionality here is largely equivalent (though a strict subset of) the functionality provided by the C++Interpreter
API.c_api_experimental.h
- Contains experimental C API methods for inference. These methods are useful and usable, but aren't yet part of the stable API.
Using the C API
See the c_api.h
header for API usage details.
Building the C API
A native shared library target that contains the C API for inference has been provided. Assuming a working bazel configuration, this can be built as follows:
bazel build -c opt //tensorflow/lite/c:tensorflowlite_c
and for Android (replace android_arm
with android_arm64
for 64-bit),
assuming you've configured your project for Android builds:
bazel build -c opt --cxxopt=--std=c++11 --config=android_arm \
//tensorflow/lite/c:tensorflowlite_c
The generated shared library will be available in your
bazel-bin/tensorflow/lite/c
directory. A target which packages the shared
library together with the necessary headers (c_api.h
, c_api_experimental.h
and common.h
) will be available soon, and will also be released as a prebuilt
archive (together with existing prebuilt packages for Android/iOS).