| /prebuilts/go/darwin-x86/src/context/ |
| benchmark_test.go | 48 wcf := make([]CancelFunc, 10)
50 for i := range wcf {
51 _, wcf[i] = WithTimeout(root, time.Hour)
53 for _, f := range wcf {
|
| /prebuilts/go/linux-x86/src/context/ |
| benchmark_test.go | 48 wcf := make([]CancelFunc, 10)
50 for i := range wcf {
51 _, wcf[i] = WithTimeout(root, time.Hour)
53 for _, f := range wcf {
|
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| lstm_ops.py | 47 wcf=None,
66 wci = wcf = wco = 0
69 f = sigmoid(cs_prev * wcf + f)
91 wcf: A `Tensor`. Must have the same type as `x`.
120 wcf = wci
130 wcf=wcf,
147 wcf=None,
163 wcf: A `Tensor`. Must have the same type as `x`.
205 wcf = wc
[all...] |
| /external/tensorflow/tensorflow/contrib/rnn/kernels/ |
| lstm_ops_gpu.cu.cc | 44 const T* wci, const T* wcf, const T* wco, T* o, T* h,
118 forget_bias + cs_prev[cid] * wcf[act_id]);
181 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
218 icfo.data(), b.data(), cs_prev.data(), wci.data(), wcf.data(),
223 icfo.data(), b.data(), cs_prev.data(), wci.data(), wcf.data(),
235 const T* wcf, // [cell_size]
302 cs_prev_grad[cid] += di_local * wci[act_id] + df_local * wcf[act_id];
311 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
331 cs_prev.data(), h_prev.data(), w.data(), wci.data(), wcf.data(),
342 df * wcf.reshape(p_shape).broadcast(p_broadcast_shape)
[all...] |
| lstm_ops.h | 162 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
184 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
209 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
257 df * wcf.reshape(p_shape).broadcast(p_broadcast_shape);
|
| lstm_ops.cc | 50 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
88 auto f_peep = cs_prev * wcf.reshape(p_shape).broadcast(p_broadcast_shape);
130 typename TTypes<T>::ConstVec wci, typename TTypes<T>::ConstVec wcf,
173 df * wcf.reshape(p_shape).broadcast(p_broadcast_shape);
188 typename TTypes<T>::ConstVec wcf, typename TTypes<T>::ConstVec wco, \
196 h_prev, w, wci, wcf, wco, b, xh, i, cs, f, o, ci, co, icfo, h); \
205 typename TTypes<T>::ConstVec wcf, typename TTypes<T>::ConstVec wco, \
219 *this, ctx, d, use_peephole, x, cs_prev, h_prev, w, wci, wcf, wco, b, \
257 OP_REQUIRES_OK(ctx, ctx->input("wcf", &wcf_tensor));
388 typename TTypes<T>::ConstVec wcf, typename TTypes<T>::ConstVec wco,
[all...] |
| /external/icu/icu4c/source/test/intltest/ |
| winnmtst.cpp | 316 NumberFormat *wcf = NumberFormat::createCurrencyInstance(ulocale, status); local
319 testLocale(lcidRecords[i].localeID, lcidRecords[i].lcid, wcf, TRUE, log);
327 testLocale(lcidRecords[i].localeID, lcidRecords[i].lcid, wcf, TRUE, log);
334 delete wcf;
|
| /external/tensorflow/tensorflow/contrib/rnn/ops/ |
| lstm_ops.cc | 31 .Input("wcf: T")
72 wci = wcf = wco = 0
75 f = sigmoid(cs_prev * wcf + f)
95 wcf: The weight matrix for forget gate peephole connection.
114 .Input("wcf: T")
161 wcf: The weight matrix for forget gate peephole connection.
175 wcf_grad: The gradient for wcf to be back-propped.
186 .Input("wcf: T")
226 x1, cs_prev, h_prev, w, wci, wcf, wco, b)
250 wcf: The weight matrix for forget gate peephole connection
[all...] |
| /external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/ |
| lstm_ops_test.py | 61 wcf = variable_scope.get_variable(
88 wcf=wcf,
111 xs += [wci, wcf, wco]
120 xs += [wci, wcf, wco]
|
