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RELEASE.md
* tf.optimizers => tf.keras.optimizers * Add tf.keras.layers.AbstractRNNCell as the preferred implementation of RNN cell for TF v2. User can use it to implement RNN cell with custom behavior. * Adding `clear_losses` API to be able to clear losses at the end of forward pass in a custom training loop in eager.
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tensorflow/c/eager/BUILD
"tfe_monitoring_reader_internal.h", ], visibility = ["//tensorflow:internal"], deps = [ ":c_api", "//tensorflow/c:c_api", "//tensorflow/core/lib/monitoring:cell_reader", "@com_google_absl//absl/memory", ], alwayslink = 1, ) tf_cuda_cc_test( name = "c_api_experimental_test", size = "small", srcs = [
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tensorflow/BUILD
# linking against the C and C++ APIs (such as libjpeg). When we create # the shared library, only export the core TF API functions to avoid # causing library conflicts (e.g., those reported in github issue 1924). # On Linux, tell the linker (-Wl,<option>) to use a version script that # excludes all but a subset of function names. # On MacOS, the linker does not support version_script, but has an
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ci/official/utilities/code_check_full.bats
//tensorflow/python/debug:grpc_tensorflow_server.par //tensorflow/python/feature_column:vocabulary_testdata //tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py //tensorflow/lite/python:interpreter
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