| /external/tensorflow/tensorflow/python/grappler/ |
| D | auto_mixed_precision_test.py | 61 def _weight(shape): function
98 f = _weight([3, 3, 1, 6])
100 s = _weight([6])
101 o = _weight([6])
110 f = _weight([3, 3, 3, 1, 6])
112 s = _weight([6])
113 o = _weight([6])
123 f = _weight([8, 8])
132 w_conv1 = _weight([3, 3, 1, 6])
136 w_conv2 = _weight([3, 3, 6, 4])
[all …]
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| D | layout_optimizer_test.py | 51 def _weight(shape): function
75 w_conv1 = _weight([5, 5, 1, 32])
79 w_conv2 = _weight([5, 5, 32, 64])
99 w_conv1 = _weight([5, 5, 1, 32])
100 w_conv2 = _weight([5, 5, 1, 32])
109 w_conv1 = _weight([5, 5, 1, 32])
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| /external/libaom/libaom/aom_dsp/ |
| D | psnrhvs.c | 105 static double convert_score_db(double _score, double _weight, int16_t pix_max) { in convert_score_db() argument
106 assert(_score * _weight >= 0.0); in convert_score_db()
108 if (_weight * _score < pix_max * pix_max * 1e-10) return MAX_PSNR; in convert_score_db()
109 return 10 * (log10(pix_max * pix_max) - log10(_weight * _score)); in convert_score_db()
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| D | fastssim.c | 436 static double convert_ssim_db(double _ssim, double _weight) { in convert_ssim_db() argument
437 assert(_weight >= _ssim); in convert_ssim_db()
438 if ((_weight - _ssim) < 1e-10) return MAX_SSIM_DB; in convert_ssim_db()
439 return 10 * (log10(_weight) - log10(_weight - _ssim)); in convert_ssim_db()
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| /external/libvpx/libvpx/vpx_dsp/ |
| D | psnrhvs.c | 108 static double convert_score_db(double _score, double _weight, int bit_depth) { in convert_score_db() argument
110 assert(_score * _weight >= 0.0); in convert_score_db()
116 if (_weight * _score < pix_max * pix_max * 1e-10) return MAX_PSNR; in convert_score_db()
117 return 10 * (log10(pix_max * pix_max) - log10(_weight * _score)); in convert_score_db()
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| D | fastssim.c | 446 static double convert_ssim_db(double _ssim, double _weight) { in convert_ssim_db() argument
447 assert(_weight >= _ssim); in convert_ssim_db()
448 if ((_weight - _ssim) < 1e-10) return MAX_SSIM_DB; in convert_ssim_db()
449 return 10 * (log10(_weight) - log10(_weight - _ssim)); in convert_ssim_db()
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| /external/autotest/client/cros/netprotos/ |
| D | cros_p2p.py | 123 srvname, _priority, _weight, port = service
163 srvname, _priority, _weight, port = service
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| /external/ImageMagick/Magick++/lib/ |
| D | Drawable.cpp | 781 _weight(400), in DrawableFont()
792 _weight(weight_), in DrawableFont()
801 _weight(original_._weight), in DrawableFont()
825 DrawSetFontWeight( context_, _weight ); in operator ()()
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| /external/tensorflow/tensorflow/lite/g3doc/convert/ |
| D | rnn.md | 82 1. The dimension 0 of the **recurrent\_weight** tensor is the number of
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| /external/ImageMagick/Magick++/lib/Magick++/ |
| D | Drawable.h | 1084 unsigned int _weight; variable
|