| /external/kmod/testsuite/rootfs-pristine/test-depmod/search-order-simple/etc/depmod.d/ |
| search.conf | 1 search updates built-in
|
| /external/valgrind/exp-sgcheck/tests/ |
| bad_percentify.stdout.exp | 1 translate: fast SP updates identified: 0 ( --%)
2 translate: generic_known SP updates identified: 0 ( --%)
3 translate: generic_unknown SP updates identified: 0 ( --%)
|
| /frameworks/base/services/core/java/com/android/server/updates/ |
| CarrierProvisioningUrlsInstallReceiver.java | 17 package com.android.server.updates;
|
| CertPinInstallReceiver.java | 17 package com.android.server.updates;
|
| LangIdInstallReceiver.java | 17 package com.android.server.updates;
|
| SmsShortCodesInstallReceiver.java | 17 package com.android.server.updates;
|
| SmartSelectionInstallReceiver.java | 17 package com.android.server.updates;
|
| IntentFirewallInstallReceiver.java | 17 package com.android.server.updates;
|
| NetworkWatchlistInstallReceiver.java | 17 package com.android.server.updates;
|
| /packages/apps/Dialer/java/com/android/dialer/calllog/datasources/ |
| CallLogMutations.java | 28 private final ArrayMap<Long, ContentValues> updates = new ArrayMap<>(); field in class:CallLogMutations
38 Assert.checkArgument(!updates.containsKey(id), "Can't insert row scheduled for update");
58 ContentValues existingContentValues = updates.get(id);
62 updates.put(id, contentValues);
72 Assert.checkArgument(!updates.containsKey(id), "Can't delete row scheduled for update");
79 return inserts.isEmpty() && updates.isEmpty() && deletes.isEmpty();
93 * Get the pending updates.
95 * @return the pending updates where the key is the annotated call log database ID and the values
99 return updates;
|
| /external/tensorflow/tensorflow/core/kernels/ |
| scatter_functor_gpu.cu.h | 33 __global__ void ScatterOpCustomKernel(T* params, const T* updates,
49 params[params_i] = ldg(updates + updates_i);
53 CudaAtomicAdd(params + params_i, ldg(updates + updates_i));
57 CudaAtomicSub(params + params_i, ldg(updates + updates_i));
61 CudaAtomicMul(params + params_i, ldg(updates + updates_i));
65 CudaAtomicDiv(params + params_i, ldg(updates + updates_i));
78 typename TTypes<T>::ConstMatrix updates,
85 const Index updates_size = updates.size();
89 params.data(), updates.data(), indices.data(), first_dim_size,
|
| sparse_tensor_dense_add_op.h | 35 typename TTypes<T>::ConstFlat updates,
|
| scatter_op.cc | 38 // Check whether updates.shape = indices.shape + params.shape[1:]
39 static bool ValidShapes(const Tensor& params, const Tensor& updates,
41 if (updates.dims() != indices.dims() + params.dims() - 1) return false;
43 if (updates.dim_size(d) != indices.dim_size(d)) {
48 if (params.dim_size(d) != updates.dim_size(d - 1 + indices.dims())) {
56 const Tensor& indices, const Tensor& updates) {
63 c, ValidShapes(params, updates, indices),
65 "Must have updates.shape = indices.shape + params.shape[1:], got ",
66 "updates.shape ", updates.shape().DebugString(), ", indices.shape "
99 const Tensor& updates = c->input(2); local
163 const Tensor& updates = c->input(2); local
[all...] |
| scatter_functor.h | 130 typename TTypes<T>::ConstMatrix updates,
138 typename TTypes<T>::ConstMatrix updates,
149 // Copy last Ndim-1 dimensions of updates[i] to params[index]
151 updates.template chip<0>(i));
162 typename TTypes<T>::ConstMatrix updates,
173 // Copy last Ndim-1 dimensions of updates[i] to params[index]
175 d, params.template chip<0>(index), updates.template chip<0>(i));
186 typename TTypes<T>::ConstMatrix updates,
199 updates.data() + i * updates.dimension(1)
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/kernel_tests/ |
| scatter_add_ndim_op_test.py | 33 updates = [100., 200.]
37 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
46 updates = [100., 200.]
50 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
58 updates = []
62 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
69 updates = [100.]
73 'Number of updates should be same as number of indices.'):
74 tensor_forest_ops.scatter_add_ndim(input_data, indices, updates).run()
81 updates = [[100., 200., 300.], [400., 500., 600.]
[all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| scatter_nd_op_test.py | 49 def _NumpyScatterNd(ref, indices, updates, op):
57 flat_updates = updates.reshape((num_updates, slice_size))
66 def _NumpyUpdate(indices, updates, shape):
67 ref = np.zeros(shape, dtype=updates.dtype)
68 return _NumpyScatterNd(ref, indices, updates, lambda p, u: u)
107 updates = _AsType(np.random.randn(*(updates_shape)), vtype)
110 np_out = np_scatter(indices, updates, ref_shape)
112 tf_out = tf_scatter(indices, updates, ref_shape)
121 def _runScatterNd(self, indices, updates, shape):
123 updates_placeholder = array_ops.placeholder(updates.dtype
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| scatter_nd_ops_test.py | 54 def _NumpyScatterNd(ref, indices, updates, op):
62 flat_updates = updates.reshape((num_updates, slice_size))
71 def _NumpyUpdate(ref, indices, updates):
72 return _NumpyScatterNd(ref, indices, updates, lambda p, u: u)
75 def _NumpyAdd(ref, indices, updates):
76 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p + u)
79 def _NumpySub(ref, indices, updates):
80 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p - u)
83 def _NumpyMul(ref, indices, updates):
84 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p * u
[all...] |
| scatter_ops_test.py | 34 def _NumpyAdd(ref, indices, updates):
38 ref[indx] += updates[i]
41 def _NumpySub(ref, indices, updates):
43 ref[indx] -= updates[i]
46 def _NumpyMul(ref, indices, updates):
48 ref[indx] *= updates[i]
51 def _NumpyDiv(ref, indices, updates):
53 ref[indx] /= updates[i]
56 def _NumpyUpdate(ref, indices, updates):
58 ref[indx] = updates[i
[all...] |
| /external/tensorflow/tensorflow/compiler/tf2xla/lib/ |
| scatter.h | 30 // buffer[indices[i0, i1, ...], ...] := updates[i0, i1, ...]
33 // and the shape of `indices` must be a prefix of the shape of updates.
39 // If a `combiner` is provided, updates are combined with the existing values in
40 // the buffer using the combiner function. Otherwise, the updates replace the
41 // existing values. The order of updates is implementation-defined.
44 const xla::ComputationDataHandle& updates,
|
| /prebuilts/go/darwin-x86/test/fixedbugs/ |
| issue17631.go | 20 updates: map[string]int{"gopher": 10}, // ERROR "unknown field 'updates' in struct literal of type"
|
| /prebuilts/go/linux-x86/test/fixedbugs/ |
| issue17631.go | 20 updates: map[string]int{"gopher": 10}, // ERROR "unknown field 'updates' in struct literal of type"
|
| /prebuilts/tools/common/m2/repository/com/github/ben-manes/gradle-versions-plugin/0.11.3/ |
| gradle-versions-plugin-0.11.3.jar | |
| /cts/tests/openglperf2/jni/reference/ |
| GLReference.cpp | 42 double updates[numFrames]; local
50 updates[i] = t1 - t0;
54 env->SetDoubleArrayRegion(updateTimes, 0, numFrames, updates);
|
| /external/mdnsresponder/mDNSShared/ |
| dnsextd.conf | 10 // dynamic zone that will be accepting Wide-Area Bonjour DNS updates.
23 // network, you might allow anyone to perform updates. To do that, you just
24 // permit any and all updates coming from dnsextd on the same machine:
30 // you'll want to limit updates to only users with keys. For example,
32 // perform updates in your dynamic zone, like this:
|
| /packages/apps/Launcher3/tests/src/com/android/launcher3/model/ |
| PackageInstallStateChangedTaskTest.java | 60 HashSet<Long> updates = new HashSet<>(Arrays.asList(idsUpdated)); local
63 assertEquals(updates.contains(info.id) ? progress: 0,
66 assertEquals(updates.contains(info.id) ? progress: -1,
|
