Home
last modified time | relevance | path

Searched refs:val_a (Results 1 – 11 of 11) sorted by relevance

/external/tensorflow/tensorflow/python/keras/layers/
Dnormalization_test.py443 val_a = np.random.random((10, 4))
454 x1 = model.predict(val_a)
455 model.train_on_batch(val_a, val_out)
456 x2 = model.predict(val_a)
462 model.train_on_batch(val_a, val_out)
463 x2 = model.predict(val_a)
469 x1 = model.predict(val_a)
470 model.train_on_batch(val_a, val_out)
471 x2 = model.predict(val_a)
488 val_a = np.expand_dims(np.arange(10.), axis=1)
[all …]
/external/llvm/test/Analysis/ScalarEvolution/
Doverflow-intrinsics.ll284 define i32 @f_smul(i32 %val_a, i32 %val_b) {
286 %agg = tail call { i32, i1 } @llvm.smul.with.overflow.i32(i32 %val_a, i32 %val_b)
288 ; CHECK-NEXT: --> (%val_a * %val_b) U: full-set S: full-set
293 define i32 @f_umul(i32 %val_a, i32 %val_b) {
295 %agg = tail call { i32, i1 } @llvm.umul.with.overflow.i32(i32 %val_a, i32 %val_b)
297 ; CHECK-NEXT: --> (%val_a * %val_b) U: full-set S: full-set
/external/tensorflow/tensorflow/python/keras/
Dmodels_test.py110 val_a = np.random.random((10, 4))
146 input_a = keras.backend.variable(val_a)
166 val_a = np.random.random((10, 4))
191 new_model.train_on_batch([val_a, val_b], val_out)
204 new_model.train_on_batch([val_a, val_b], val_out)
210 input_a = keras.backend.variable(val_a)
/external/llvm-project/llvm/test/Analysis/ScalarEvolution/
Doverflow-intrinsics.ll285 define i32 @f_smul(i32 %val_a, i32 %val_b) {
287 %agg = tail call { i32, i1 } @llvm.smul.with.overflow.i32(i32 %val_a, i32 %val_b)
289 ; CHECK-NEXT: --> (%val_a * %val_b) U: full-set S: full-set
294 define i32 @f_umul(i32 %val_a, i32 %val_b) {
296 %agg = tail call { i32, i1 } @llvm.umul.with.overflow.i32(i32 %val_a, i32 %val_b)
298 ; CHECK-NEXT: --> (%val_a * %val_b) U: full-set S: full-set
/external/tensorflow/tensorflow/python/keras/engine/
Dsequential_test.py238 val_a = np.random.random((10, 4))
247 x1 = model.predict(val_a)
248 model.train_on_batch(val_a, val_out)
249 x2 = model.predict(val_a)
255 model.train_on_batch(val_a, val_out)
256 x2 = model.predict(val_a)
Dtraining_test.py715 val_a = np.random.random((10, 4))
734 x1 = model.predict(val_a)
735 model.train_on_batch(val_a, val_out)
736 x2 = model.predict(val_a)
747 model.train_on_batch(val_a, val_out)
748 x2 = model.predict(val_a)
759 x1 = model.predict(val_a)
760 model.train_on_batch(val_a, val_out)
761 x2 = model.predict(val_a)
/external/libaom/libaom/test/
Dcoding_path_sync.cc87 const int val_a = rnd_.Rand8(); in ReadFrame() local
91 buf[i] = (i + phase) % period < period / 2 ? val_a : val_b; in ReadFrame()
/external/llvm-project/lldb/test/API/python_api/value/
DTestValueAPI.py151 val_a = target.EvaluateExpression('a')
159 val_a.Cast(
/external/icu/icu4c/source/test/perf/collperf/
Dcollperf.cpp276 int val_a = 0; in q_random() local
278 while (*key_a != 0) {val_a += val_a*37 + *key_a++;} in q_random()
280 return val_a - val_b; in q_random()
/external/tensorflow/tensorflow/python/kernel_tests/
Dpadding_fifo_queue_test.py1121 val_a, val_b = self.evaluate([cleanup_dequeue_a_t, cleanup_dequeue_b_t])
1122 self.assertEqual(elem_a, val_a)
Dfifo_queue_test.py1180 val_a, val_b = self.evaluate([cleanup_dequeue_a_t, cleanup_dequeue_b_t])
1181 self.assertEqual(elem_a, val_a)