Searched refs:est2 (Results 1 – 8 of 8) sorted by relevance
/external/kernel-headers/original/uapi/linux/netfilter/ |
D | xt_rateest.h | 36 struct xt_rateest *est2 __attribute__((aligned(8))); member
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/external/iptables/include/linux/netfilter/ |
D | xt_rateest.h | 34 struct xt_rateest *est2 __attribute__((aligned(8))); member
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/external/skia/include/private/ |
D | SkNx_neon.h | 92 est2 = vmul_f32(vrecps_f32(est1, o.fVec), est1); 93 return vmul_f32(fVec, est2); 129 est2 = vmul_f32(vrsqrts_f32(fVec, vmul_f32(est1, est1)), est1); in sqrt() 130 return vmul_f32(fVec, est2); in sqrt() 216 est2 = vmulq_f32(vrecpsq_f32(est1, o.fVec), est1); 217 return vmulq_f32(fVec, est2); 254 est2 = vmulq_f32(vrsqrtsq_f32(fVec, vmulq_f32(est1, est1)), est1); in sqrt() 255 return vmulq_f32(fVec, est2); in sqrt()
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/external/dng_sdk/source/ |
D | dng_bad_pixels.cpp | 820 uint32 est2; in FixIsolatedPixel() local 882 est2 = g20 + g24; in FixIsolatedPixel() 964 est2 = b20 + b24; in FixIsolatedPixel() 1012 total += est2; in FixIsolatedPixel() 1149 uint32 est2; in FixSingleColumn() local 1263 est2 = g31 + g57 + split * 2; in FixSingleColumn() 1405 est2 = b20 + b68; in FixSingleColumn() 1482 total += est2; in FixSingleColumn()
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/external/skqp/include/private/ |
D | SkNx_neon.h | 92 est2 = vmul_f32(vrecps_f32(est1, o.fVec), est1); 93 return vmul_f32(fVec, est2); 129 est2 = vmul_f32(vrsqrts_f32(fVec, vmul_f32(est1, est1)), est1); in sqrt() 130 return vmul_f32(fVec, est2); in sqrt() 216 est2 = vmulq_f32(vrecpsq_f32(est1, o.fVec), est1); 217 return vmulq_f32(fVec, est2); 254 est2 = vmulq_f32(vrsqrtsq_f32(fVec, vmulq_f32(est1, est1)), est1); in sqrt() 255 return vmulq_f32(fVec, est2); in sqrt()
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | estimator_input_test.py | 189 est2 = estimator.Estimator(model_fn=linear_model_fn, model_dir=output_dir) 192 scores2 = est2.evaluate( 199 predictions = np.array(list(est2.predict(x=boston_input)))
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D | estimator_test.py | 682 est2 = estimator.SKCompat( 686 scores2 = est2.score( 693 predictions = np.array(list(est2.predict(x=boston.data))) 698 est2.fit(x=boston.data, y=float64_labels, steps=100) 699 scores3 = est2.score( 732 est2 = estimator.Estimator( 734 self.assertEqual(5, est2.get_variable_value('global_step')) 735 est2.fit(input_fn=boston_input_fn, steps=5) 736 self.assertEqual(10, est2.get_variable_value('global_step'))
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/external/syzkaller/sys/linux/ |
D | netfilter.txt | 221 est2 intptr
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