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RELEASE.md
to the layer came from a keras input. * Clean up `BatchNormalization` layer's `trainable` property to act like standard python state when it's used inside `tf.functions` (frozen at tracing time), instead of acting like a pseudo-variable whose updates *kind of sometimes* get reflected in already-traced `tf.function` traces. * Add the `Conv1DTranspose` layer.
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tensorflow/BUILD
# instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config # and use header only targets. # TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on # cuda_platform from tf_additional_binary_deps and this doesn't break. check_deps( name = "cuda_plugins_check_deps", disallowed_deps = if_static( [],
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
TF_SetStatus(status, TF_OK, ""); } static void NewWritableFile(const TF_Filesystem* filesystem, const char* path, TF_WritableFile* file, TF_Status* status) { FILE* f = fopen(path, "w"); if (f == nullptr) { TF_SetStatusFromIOError(status, errno, path); return; } file->plugin_file = new tf_writable_file::PosixFile({strdup(path), f}); TF_SetStatus(status, TF_OK, "");
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ci/official/utilities/code_check_full.bats
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