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  /frameworks/av/media/libstagefright/codecs/m4v_h263/dec/include/
visual_header.h 40 /* Parameters used for scalability */
41 int32 scalability; /* VOL scalability (flag) */ member in struct:tagVolInfo
  /system/extras/tests/sdcard/
profile_sdcard.sh 31 scalability() { function
32 local file="/tmp/sdcard-scalability.txt"
34 echo "# Scalability tests" | tee -a ${file}
37 echo "# StopWatch scalability total/cumulative duration 0.0 Samples: 1" | tee -a ${file}
61 scalability
  /frameworks/av/media/libstagefright/codecs/m4v_h263/enc/src/
vop.cpp 155 if (!currVol->scalability)
231 if (!currVol->scalability)
396 if (currVol->scalability)
mp4lib_int.h 109 /* Parameters used for scalability */
110 Int scalability; /* VOL scalability (flag) */ member in struct:tagVol
322 /* Data For Layers (Scalability) */
mp4enc_api.cpp     [all...]
vlc_encode.cpp     [all...]
  /frameworks/av/media/libstagefright/codecs/m4v_h263/dec/src/
mp4lib_int.h 115 /* Parameters used for scalability */
116 int scalability; /* VOL scalability (flag) */ member in struct:tagVol
202 /* Data For Layers (Scalability) */
vop.cpp 632 /* scalability */
633 currVol->scalability = (int) BitstreamRead1Bits(stream);
635 if (currVol->scalability)
    [all...]
pvdec_api.cpp 126 /* spatial scalability to the decoder */
269 video->vol[idx]->scalability = 0;
    [all...]
  /hardware/intel/common/libmix/mix_vbp/viddec_fw/fw/codecs/mp4/parser/
viddec_mp4_shortheader.c 88 vol->scalability = 0;
viddec_mp4_videoobjectlayer.c 395 vidObjLay->scalability = code;
396 if(vidObjLay->scalability)
398 DEB("Error: VOL scalability is not supported\n");
viddec_mp4_parse.h 380 uint8_t scalability; member in struct:__anon47257
viddec_mp4_videoobjectplane.c 393 if (!vidObjLay->scalability)
  /external/tensorflow/tensorflow/contrib/verbs/
README.md 55 The tensor transfer process is initiated when the receiver requests a tensor. In code it is done by calling **Rendezvous::Recv()** or **Rendezvous::RecvAsync()**. The TensorFlow base implementation handles the case where the requested tensor is located on the same node. The more interesting case where the requested tensor is located on a remote node (receiver != sender) is to be handled in a derivation of the pure virtual **BaseRemoteRendezvous::RecvFromRemoteAsync()**. TensorFlow provides a default GRPC based implementation which comes in the vanilla version but suffers in scalability when running large models. Our RDMA based implementation presumes to be more scalable. HKUST's contrib GDR implementation is more scalable than GRPC, and less scalable than ours, only because we did our evolution based on it.
  /prebuilts/go/darwin-x86/src/runtime/
proc.go 37 // 1. Centralize all scheduler state (would inhibit scalability).
    [all...]
  /prebuilts/go/linux-x86/src/runtime/
proc.go 37 // 1. Centralize all scheduler state (would inhibit scalability).
    [all...]

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