VMSBFM		V2, V0, V3			// d7a12050
	VMSIFM		V2, V3				// d7a12152
	VMSIFM		V2, V0, V3			// d7a12150
	VMSOFM		V2, V3				// d7212152
	VMSOFM		V2, V0, V3			// d7212150
	VIOTAM		V2, V3				// d7212852
	VIOTAM		V2, V0, V3			// d7212850
	VIDV		V3				// d7a10852
	VIDV		V0, V3				// d7a10850

	// 31.16.1: Integer Scalar Move Instructions
	VMVXS		V2, X10				// 57252042
	VMVSX		X10, V2				// 57610542

labels.failure_url_error_log=Günlük
labels.failure_url_web_config_name=Web Tarama Yapılandırması
labels.failure_url_file_config_name=Dosya Tarama Yapılandırması
labels.system_info_configuration=Sistem Bilgisi
labels.system_info_env_title=Ortam Değişkeni Özellikleri
labels.system_info_prop_title=Sistem Özellikleri
labels.system_info_fess_prop_title=Uygulama Özellikleri
labels.system_info_bug_report_title=Hata Raporu Özellikleri

	VMSBFM		X10, V3				// ERROR "expected vector register in vs2 position"
	VMSIFM		X10, V3				// ERROR "expected vector register in vs2 position"
	VMSOFM		X10, V3				// ERROR "expected vector register in vs2 position"
	VIOTAM		X10, V3				// ERROR "expected vector register in vs2 position"
	VIDV		X10				// ERROR "expected vector register in vd position"
	VMVXS		X11, X10			// ERROR "expected vector register in vs2 position"

# the problematic targets are fixed.
common --@rules_python//python/config_settings:precompile=force_disabled

# TF now has `cc_shared_library` targets, so it needs the experimental flag
# TODO(rostam): Remove when `cc_shared_library` is enabled by default
common --experimental_cc_shared_library

# cc_shared_library ensures no library is linked statically more than once.

05A3..05AF    ; valid                                  # 2.0  HEBREW ACCENT MUNAH..HEBREW MARK MASORA CIRCLE
05B0..05B9    ; valid                                  # 1.1  HEBREW POINT SHEVA..HEBREW POINT HOLAM
05BA          ; valid                                  # 5.0  HEBREW POINT HOLAM HASER FOR VAV
05BB..05BD    ; valid                                  # 1.1  HEBREW POINT QUBUTS..HEBREW POINT METEG

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    relative imports in API `__init__.py` files.
*   Auto Mixed-Precision graph optimizer simplifies converting models to
    `float16` for acceleration on Volta and Turing Tensor Cores. This feature
    can be enabled by wrapping an optimizer class with
    `tf.train.experimental.enable_mixed_precision_graph_rewrite()`.