tensorflow-aarch64 2.8.4

TensorFlow is an open source machine learning framework for everyone.

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

The below filter tags were used to build and select unit tests

-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64

The following unit test section(s) were run on this release

\\tensorflow\...

The following unit tests and sections were excluded from being run. This may have been due to build issues, or are a known failure.

//tensorflow/lite/...
//tensorflow/core/ir/...
//tensorflow/python/tools/...
//tensorflow/compiler/mlir/lite/tests:const-fold.mlir.test
//tensorflow/compiler/mlir/lite/tests:prepare-tf.mlir.test
//tensorflow/compiler/mlir/tensorflow:dump_graph_test
//tensorflow/core/common_runtime:direct_session_test
//tensorflow/core/common_runtime:direct_session_with_debug_test
//tensorflow/core/kernels:quantized_bias_add_op_test
//tensorflow/core/kernels:quantize_op_test
//tensorflow/core/kernels:requantize_op_test
//tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test
//tensorflow/python/eager:function_test
//tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test
//tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test
//tensorflow/python/ops/ragged:ragged_dispatch_test
//tensorflow/python:quantized_ops_test
//tensorflow/python:script_ops_test
//tensorflow/tools/graph_transforms:transforms_test