| /external/ltp/utils/ffsb-6.0-rc2/ |
| ffsb_tg.c | 65 tg->sum_weights = 0;
67 tg->sum_weights += tg->op_weights[i];
104 num = 1 + getrandom(rd, tg->sum_weights);
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| ffsb_fs.h | 115 unsigned sum_weights; member in struct:ffsb_fs
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| ffsb_tg.h | 89 unsigned sum_weights; member in struct:ffsb_tg
|
| ffsb_fs.c | 120 int num = 1 + getrandom(&rd, fs->sum_weights);
595 (float)fs->sum_weights) * 100);
|
| fileops.c | 433 int num = 1 + getrandom(rd, fs->sum_weights);
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| parser.c | 951 fs->sum_weights += sizew->weight;
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| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| wals.py | 242 * sum_weights: A float Tensor, the sum of factor weights.
258 _, update_op, loss, reg, sum_weights = update_fn(sp_input)
263 state_ops.assign(rwse_var, math_ops.sqrt(loss / sum_weights))]):
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| factorization_ops.py | 83 _, _, unregularized_loss, regularization, sum_weights =
91 The sum_weights tensor contains the normalized sum of weights
677 sum_weights: The sum of the weights W_I corresponding to sp_input,
679 \sqrt(unregularized_loss / sum_weights).
710 sum_weights: The sum of the weights W_J corresponding to sp_input,
712 \sqrt(unregularized_loss / sum_weights).
[all...] |
| factorization_ops_test.py | 145 (_, _, _, _, sum_weights) = update_factors(
152 got_weight_sum = sess.run(sum_weights)
[all...] |
| /external/libvpx/libvpx/vp8/encoder/ |
| onyx_int.h | 667 double sum_weights[VPX_TS_MAX_LAYERS]; member in struct:VP8_COMP
|
| firstpass.c | 294 double sum_weights = 0.0; local
303 sum_weights += weight_table[*src];
310 sum_weights /= (source->y_height * source->y_width);
312 return sum_weights;
[all...] |
| onyx_if.c | [all...] |
