| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| autoregressive_test.py | 40 def _random_scale_tril(self, event_size):
41 n = np.int32(event_size * (event_size + 1) // 2)
55 event_size = 2
57 batch_event_shape = np.concatenate([batch_shape, [event_size]], axis=0)
59 affine = Affine(scale_tril=self._random_scale_tril(event_size))
69 event_size = np.int32(2)
71 batch_event_shape = np.concatenate([batch_shape, [event_size]], axis=0)
73 affine = Affine(scale_tril=self._random_scale_tril(event_size))
83 event_shape=[event_size],
[all...] |
| /frameworks/base/core/jni/ |
| android_util_FileObserver.cpp | 72 int event_size; local
92 event_size = sizeof(*event) + event->len;
93 num_bytes -= event_size;
94 event_pos += event_size;
|
| /external/perf_data_converter/src/quipper/ |
| test_perf_data.cc | 145 const size_t event_size = sizeof(perf_event_header) + attr.size + local
151 .size = static_cast<u16>(event_size),
231 const size_t event_size = GetSize(); local
238 .size = MaybeSwap16(static_cast<u16>(event_size)),
257 CHECK_EQ(event_size, static_cast<u64>(written_event_size));
263 const size_t event_size = offsetof(struct mmap2_event, filename) + local
272 .size = static_cast<u16>(event_size),
299 const size_t event_size = sizeof(struct fork_event) + sample_id_.size(); local
306 .size = MaybeSwap16(static_cast<u16>(event_size)),
456 const size_t event_size = GetSize() local
474 out->write(reinterpret_cast<const char*>(&event), event_size); local
[all...] |
| /external/ltp/testcases/kernel/syscalls/inotify/ |
| inotify05.c | 49 #define EVENT_SIZE (sizeof(struct inotify_event))
50 #define EVENT_BUF_LEN (EVENT_SIZE * 16)
134 if ((int)(i + EVENT_SIZE) != len) {
147 i += EVENT_SIZE + event->len;
|
| inotify01.c | 50 #define EVENT_SIZE (sizeof (struct inotify_event))
52 #define EVENT_BUF_LEN (EVENT_MAX * (EVENT_SIZE + 16))
175 i += EVENT_SIZE + event->len;
|
| inotify03.c | 57 #define EVENT_SIZE (sizeof(struct inotify_event))
59 #define EVENT_BUF_LEN (EVENT_MAX * (EVENT_SIZE + 16))
146 i += EVENT_SIZE + event->len;
|
| inotify02.c | 56 #define EVENT_SIZE (sizeof (struct inotify_event))
58 #define EVENT_BUF_LEN (EVENT_MAX * (EVENT_SIZE + 16))
248 i += EVENT_SIZE + event->len;
|
| inotify04.c | 59 #define EVENT_SIZE (sizeof(struct inotify_event))
61 #define EVENT_BUF_LEN (EVENT_MAX * (EVENT_SIZE + 16))
252 i += EVENT_SIZE + event->len;
|
| /frameworks/base/libs/usb/tests/accessorytest/ |
| hid.c | 165 int event_size; local
188 event_size = sizeof(*event) + event->len;
189 count -= event_size;
190 event_pos += event_size;
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| onehot_categorical.py | 134 with ops.name_scope(name="event_size"):
148 def event_size(self): member in class:OneHotCategorical
180 logits_2d = array_ops.reshape(logits, [-1, self.event_size])
183 samples = array_ops.one_hot(samples, self.event_size, dtype=self.dtype)
198 logits_2d = array_ops.reshape(logits, [-1, self.event_size])
199 x_2d = array_ops.reshape(x, [-1, self.event_size])
215 ret = array_ops.one_hot(ret, self.event_size, dtype=self.dtype)
|
| relaxed_onehot_categorical.py | 47 the constant vector of (1/event_size, ..., 1/event_size).
193 with ops.name_scope(name="event_size"):
208 def event_size(self): member in class:ExpRelaxedOneHotCategorical
242 logits_2d = array_ops.reshape(logits, [-1, self.event_size])
272 logits_2d = array_ops.reshape(logits, [-1, self.event_size])
273 x_2d = array_ops.reshape(x, [-1, self.event_size])
275 k = math_ops.cast(self.event_size, x.dtype)
313 (1/event_size, ..., 1/event_size)
[all...] |
| autoregressive.py | 73 def normal_fn(self, event_size):
74 n = event_size * (event_size + 1) / 2
|
| /external/selinux/restorecond/ |
| user.c | 105 #define EVENT_SIZE (sizeof (struct inotify_event))
107 #define BUF_LEN (1024 * (EVENT_SIZE + 16))
142 i += EVENT_SIZE + event->len;
|
| watch.c | 24 #define EVENT_SIZE (sizeof (struct inotify_event))
26 #define BUF_LEN (1024 * (EVENT_SIZE + 16))
213 i += EVENT_SIZE + event->len;
|
| /external/perfetto/src/ftrace_reader/ |
| cpu_reader.cc | 361 uint32_t event_size; local
363 if (!ReadAndAdvance<uint32_t>(&ptr, end, &event_size))
366 if (event_size < 4)
368 event_size -= 4;
370 event_size = 4 * event_header.type_or_length;
373 const uint8_t* next = ptr + event_size;
|
| /device/generic/goldfish/camera/ |
| EmulatedCameraHotplugThread.cpp | 30 #define EVENT_SIZE (sizeof(struct inotify_event))
31 #define EVENT_BUF_LEN (1024*(EVENT_SIZE+16))
210 i += EVENT_SIZE + event->len;
|
| /device/google/cuttlefish_common/guest/hals/camera/ |
| EmulatedCameraHotplugThread.cpp | 30 #define EVENT_SIZE (sizeof(struct inotify_event))
31 #define EVENT_BUF_LEN (1024 * (EVENT_SIZE + 16))
194 i += EVENT_SIZE + event->len;
|
| /external/tensorflow/tensorflow/core/util/ |
| session_message.cc | 43 if (status_->event_size() > kMaxLogEvents) {
|
| /external/ltp/testcases/kernel/syscalls/fanotify/ |
| fanotify02.c | 46 #define EVENT_SIZE (sizeof (struct fanotify_event_metadata))
48 #define EVENT_BUF_LEN (EVENT_MAX * EVENT_SIZE)
|
| fanotify03.c | 50 #define EVENT_SIZE (sizeof (struct fanotify_event_metadata))
52 #define EVENT_BUF_LEN (EVENT_MAX * EVENT_SIZE)
|
| fanotify04.c | 47 #define EVENT_SIZE (sizeof (struct fanotify_event_metadata))
49 #define EVENT_BUF_LEN (EVENT_MAX * EVENT_SIZE)
|
| fanotify06.c | 56 #define EVENT_SIZE (sizeof (struct fanotify_event_metadata))
58 #define EVENT_BUF_LEN (EVENT_MAX * EVENT_SIZE)
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| masked_autoregressive.py | 102 event_size = x.shape[-1]
103 for _ in range(event_size):
120 equivalent to the scaling used in `forward` after `event_size` passes, i.e.,
221 event_size = x.shape.with_rank_at_least(1)[-1].value
222 if event_size is None:
228 for _ in range(event_size):
239 event_size = array_ops.shape(x)[-1]
264 cond=lambda index, _: index < event_size,
|
| permute.py | 61 `Permute(np.random.permutation(event_size)).astype("int32"))` is not a
71 np.random.permutation(event_size).astype("int32"),
|
| affine.py | 391 event_size = distribution_util.pick_vector(
394 event_size = math_ops.cast(event_size, dtype=self._scale.dtype)
395 return math_ops.log(math_ops.abs(self._scale)) * event_size
|
