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/external/u-boot/arch/xtensa/
DMakefile3 head-y := arch/xtensa/cpu/start.o
5 libs-y += arch/xtensa/cpu/
6 libs-y += arch/xtensa/lib/
Dconfig.mk6 CROSS_COMPILE ?= xtensa-linux-
/external/tensorflow/tensorflow/lite/micro/tools/make/targets/
Dxtensa_xpg_makefile.inc6 ifeq ($(TARGET), xtensa-xpg)
7 TARGET_ARCH := xtensa-xpg
14 --xtensa-core=$(XTENSA_CORE) \
Desp32_makefile.inc4 TARGET_ARCH := xtensa-esp32
/external/tensorflow/tensorflow/lite/micro/kernels/xtensa-hifimini/
Dquantize.cc31 namespace xtensa { namespace
133 xtensa::hifimini::CreateQConstantForInt24(0, 1.f / output->params.scale); in Prepare()
155 xtensa::hifimini::AffineQuantize( in Eval()
Dsoftmax.cc31 namespace xtensa { namespace
176 xtensa::hifimini::Softmax(op_params, shape, GetTensorData<int8_t>(input), in Softmax2DQuantized()
180 xtensa::hifimini::Softmax(op_params, shape, GetTensorData<int8_t>(input), in Softmax2DQuantized()
Dfully_connected.cc34 namespace xtensa { namespace
166 xtensa::hifimini::QuantizeMultiplier(real_multiplier, in CalculateOpData()
220 xtensa::hifimini::FullyConnected( in EvalQuantizedInt8()
Dsvdf.cc139 tflite::ops::micro::xtensa::hifimini::MultiplyByQuantizedMultiplier( in EvalIntegerSVDF()
227 tflite::ops::micro::xtensa::hifimini::MultiplyByQuantizedMultiplier( in EvalIntegerSVDF()
391 xtensa::hifimini::QuantizeMultiplier(effective_scale_1, in Prepare()
394 xtensa::hifimini::QuantizeMultiplier(effective_scale_2, in Prepare()
Ddepthwise_conv.cc34 namespace xtensa { namespace
149 acc_56 = micro::xtensa::hifimini::MultiplyByQuantizedMultiplier( in DepthwiseConvPerChannel()
320 xtensa::hifimini::DepthwiseConvPerChannel( in EvalQuantizedPerChannel()
Dconv.cc34 namespace xtensa { namespace
150 acc_56 = micro::xtensa::hifimini::MultiplyByQuantizedMultiplier( in ConvPerChannel()
314 xtensa::hifimini::ConvPerChannel( in EvalQuantizedPerChannel()
/external/u-boot/arch/xtensa/dts/
Dxtfpga.dtsi2 compatible = "cdns,xtensa-xtfpga";
20 compatible = "cdns,xtensa-cpu";
29 compatible = "cdns,xtensa-pic";
Dkc705.dts6 compatible = "cdns,xtensa-kc705";
Dml605.dts6 compatible = "cdns,xtensa-ml605";
Dkc705_nommu.dts6 compatible = "cdns,xtensa-kc705";
Dml605_nommu.dts6 compatible = "cdns,xtensa-ml605";
/external/strace/
DMakefile.am925 linux/xtensa/arch_regs.c \
926 linux/xtensa/arch_rt_sigframe.c \
927 linux/xtensa/get_error.c \
928 linux/xtensa/get_scno.c \
929 linux/xtensa/get_syscall_args.c \
930 linux/xtensa/get_syscall_result.c \
931 linux/xtensa/ioctls_arch0.h \
932 linux/xtensa/ioctls_inc0.h \
933 linux/xtensa/raw_syscall.h \
934 linux/xtensa/set_error.c \
[all …]
/external/strace/tests-m32/
Dksysent.sed7 s/__NR_(arm|xtensa)_fadvise64_64/__NR_fadvise64_64/
/external/strace/tests/
Dksysent.sed7 s/__NR_(arm|xtensa)_fadvise64_64/__NR_fadvise64_64/
/external/strace/tests-mx32/
Dksysent.sed7 s/__NR_(arm|xtensa)_fadvise64_64/__NR_fadvise64_64/
/external/libffi/
DMakefile.am48 src/xtensa/ffitarget.h src/xtensa/ffi.c src/xtensa/sysv.S \
231 nodist_libffi_la_SOURCES += src/xtensa/sysv.S src/xtensa/ffi.c
/external/python/cpython2/Modules/_ctypes/libffi/
DMakefile.am47 src/xtensa/ffitarget.h src/xtensa/ffi.c src/xtensa/sysv.S \
227 nodist_libffi_la_SOURCES += src/xtensa/sysv.S src/xtensa/ffi.c
DMakefile.in119 @XTENSA_TRUE@am__append_37 = src/xtensa/sysv.S src/xtensa/ffi.c
244 @XTENSA_TRUE@am__objects_37 = src/xtensa/sysv.lo src/xtensa/ffi.lo
645 src/xtensa/ffitarget.h src/xtensa/ffi.c src/xtensa/sysv.S \
1119 src/xtensa/$(am__dirstamp):
1120 @$(MKDIR_P) src/xtensa
1121 @: > src/xtensa/$(am__dirstamp)
1122 src/xtensa/$(DEPDIR)/$(am__dirstamp):
1123 @$(MKDIR_P) src/xtensa/$(DEPDIR)
1124 @: > src/xtensa/$(DEPDIR)/$(am__dirstamp)
1125 src/xtensa/sysv.lo: src/xtensa/$(am__dirstamp) \
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/external/u-boot/doc/arch/
Dindex.rst18 xtensa
Dxtensa.rst20 Xtensa CPUs in U-Boot. Therefore, there is only a single 'xtensa' CPU
35 a variant-specific directory located in the arch/xtensa/include/asm
63 available for the gd pointer. Therefore, on xtensa gd is a simple
/external/tensorflow/tensorflow/lite/micro/testing/
Dtest_xtensa_xpg_binary.sh29 xt-run --xtensa-core=${XTENSA_CORE} $1 2>&1 | tee ${MICRO_LOG_FILENAME}

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