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Searched refs:op_m (Results 1 – 5 of 5) sorted by relevance

/external/aac/libFDK/include/x86/
Dfixpoint_math_x86.h132 inline FIXP_DBL invSqrtNorm2(FIXP_DBL op_m, INT *result_e) { in invSqrtNorm2() argument
134 if (op_m == (FIXP_DBL)0) { in invSqrtNorm2()
138 result = (float)(1.0 / sqrt(0.5f * (float)(INT)op_m)); in invSqrtNorm2()
174 inline FIXP_DBL invFixp(FIXP_DBL op_m, int *op_e) { in invFixp() argument
177 if ((op_m == (FIXP_DBL)0x00000000) || (op_m == (FIXP_DBL)0x00000001)) { in invFixp()
181 result = (float)(1.0 / (float)(INT)op_m); in invFixp()
/external/aac/libSBRdec/src/
Dhbe.cpp645 invCubeRootNorm2(FIXP_DBL op_m, INT* op_e) in invCubeRootNorm2() argument
648 invCubeRootNorm2(FIXP_DBL op_m, INT* op_e) in invCubeRootNorm2()
651 FDK_ASSERT(op_m > FIXP_DBL(0)); in invCubeRootNorm2()
654 INT exponent = (INT)fNormz(op_m) - 1; in invCubeRootNorm2()
655 op_m <<= exponent; in invCubeRootNorm2()
657 INT index = (INT)(op_m >> (DFRACT_BITS - 1 - (CUBE_ROOT_BITS + 1))) & in invCubeRootNorm2()
659 FIXP_DBL fract = (FIXP_DBL)(((INT)op_m & CUBE_ROOT_FRACT_BITS_MASK) in invCubeRootNorm2()
662 op_m = fMultAddDiv2(invCubeRootTab[index], diff << 1, fract); in invCubeRootNorm2()
670 op_m = fMultAddDiv2(op_m, fract, diff); in invCubeRootNorm2()
689 op_m = fMultDiv2(op_m, invCubeRootCorrection[rem]) << 2; in invCubeRootNorm2()
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/external/aac/libSACenc/src/
Dsacenc_dmx_tdom_enh.cpp165 static FIXP_DBL invSqrtNorm2(const FIXP_DBL op_m, const INT op_e, in invSqrtNorm2() argument
167 FIXP_DBL src_m = op_m; in invSqrtNorm2()
181 static FIXP_DBL sqrtFixp(const FIXP_DBL op_m, const INT op_e, in sqrtFixp() argument
183 FIXP_DBL src_m = op_m; in sqrtFixp()
/external/aac/libFDK/include/
Dfixpoint_math.h389 static inline FIXP_DBL invFixp(FIXP_DBL op_m, int *op_e) { in invFixp() argument
390 if ((op_m == (FIXP_DBL)0x00000000) || (op_m == (FIXP_DBL)0x00000001)) { in invFixp()
396 FIXP_DBL tmp_inv = invSqrtNorm2(op_m, &tmp_exp); in invFixp()
/external/tensorflow/tensorflow/python/ops/
Dnn_batchnorm_test.py381 op_c, op_m, op_v, op_s = self._opSuffStats(x, axes, shift, keep_dims)
383 tf_c, tf_m, tf_v, tf_s = self.evaluate([op_c, op_m, op_v, op_s])
385 tf_c, tf_m, tf_v = self.evaluate([op_c, op_m, op_v])
389 op_c, op_m, op_v, op_s = self._opSuffStats(x, axes, shift, keep_dims)
391 tf_c, tf_m, tf_v, tf_s = sess.run([op_c, op_m, op_v, op_s],
394 tf_c, tf_m, tf_v = sess.run([op_c, op_m, op_v],