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/third_party/mindspore/tests/st/ops/cpu/
Dtest_scatter_arithmetic_op.py27 def __init__(self, lock, inputx, indices, updates): argument
32 self.updates = Parameter(updates, name="updates")
35 out = self.scatter_add(self.inputx, self.indices, self.updates)
39 def scatter_add_net(inputx, indices, updates): argument
41 net = TestScatterAddNet(lock, inputx, indices, updates)
45 def scatter_add_use_locking_false_net(inputx, indices, updates): argument
47 net = TestScatterAddNet(lock, inputx, indices, updates)
57 updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32))
58 output = scatter_add_net(inputx, indices, updates)
70 updates = Tensor(np.arange(12).reshape((2, 2, 3)).astype(np.float32))
[all …]
/third_party/mindspore/tests/st/ops/gpu/
Dtest_scatter_func_op.py35 def __init__(self, func, lock, inputx, indices, updates): argument
41 self.updates = Parameter(updates, name="updates")
44 out = self.scatter_func(self.inputx, self.indices, self.updates)
48 def scatter_func_net(func, inputx, indices, updates): argument
50 net = TestScatterFuncNet(func, lock, inputx, indices, updates)
54 def scatter_func_use_locking_false_net(func, inputx, indices, updates): argument
56 net = TestScatterFuncNet(func, lock, inputx, indices, updates)
61 def __init__(self, func, inputx, indices, updates): argument
67 self.updates = Parameter(updates, name="updates")
71 updates = self.test_dynamic(self.updates)
[all …]
Dtest_scatter_nd_func_op.py35 def __init__(self, func, lock, inputx, indices, updates): argument
41 self.updates = Parameter(updates, name="updates")
44 out = self.scatter_func(self.inputx, self.indices, self.updates)
48 def scatter_nd_func_net(func, inputx, indices, updates): argument
50 net = TestScatterNdFuncNet(func, lock, inputx, indices, updates)
54 def scatter_nd_func_use_locking_false_net(func, inputx, indices, updates): argument
56 net = TestScatterNdFuncNet(func, lock, inputx, indices, updates)
66 updates = Tensor(np.array([1.0, 2.2]), mstype.float32)
69 output = scatter_nd_func_net("update", inputx, indices, updates)
74 output = scatter_nd_func_net("add", inputx, indices, updates)
[all …]
/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/
Dscatter_functor_impl.cu22 const T *updates, T *input) { in ScatterUpdateKernel() argument
27 input[current_pos] = updates[pos]; in ScatterUpdateKernel()
32 …erAddKernel(const size_t inner_size, const size_t updates_size, const S *indices, const T *updates, in ScatterAddKernel() argument
38 MsAtomicAdd(&input[current_pos], updates[pos]); in ScatterAddKernel()
43 …erSubKernel(const size_t inner_size, const size_t updates_size, const S *indices, const T *updates, in ScatterSubKernel() argument
49 MsAtomicAdd(&input[current_pos], -updates[pos]); in ScatterSubKernel()
55 const S *indices, const T *updates, T *input, cudaStream_t cuda_stream) { in ScatterFunc() argument
60 … indices, updates, input); in ScatterFunc()
63 … indices, updates, input); in ScatterFunc()
66 … indices, updates, input); in ScatterFunc()
[all …]
Dscatter_nd_functor_impl.cu22 … const S *out_strides, const S *indices, const T *updates, T *input) { in ScatterNdUpdate() argument
41 input[write_index] = updates[read_index]; in ScatterNdUpdate()
48 const S *out_strides, const S *indices, const T *updates, T *input) { in ScatterNdAdd() argument
67 MsAtomicAdd(&input[write_index], updates[read_index]); in ScatterNdAdd()
74 const S *out_strides, const S *indices, const T *updates, T *input) { in ScatterNdSub() argument
93 MsAtomicAdd(&input[write_index], -updates[read_index]); in ScatterNdSub()
100 … const size_t &index_depth, const S *out_strides, const S *indices, const T *updates, T *input, in CalScatterNdFunctor() argument
106 unit_size, index_depth, updates_size, out_strides, indices, updates, input); in CalScatterNdFunctor()
109 unit_size, index_depth, updates_size, out_strides, indices, updates, input); in CalScatterNdFunctor()
112 unit_size, index_depth, updates_size, out_strides, indices, updates, input); in CalScatterNdFunctor()
[all …]
/third_party/mindspore/tests/st/auto_monad/
Dtest_effect_ops.py86 def construct(self, indices, updates): argument
87 self.scatter_add(self.input_x, indices, updates)
98 updates = Tensor(np.ones([2, 2, 3]), mstype.float32)
101 out = net(indices, updates)
111 def construct(self, indices, updates): argument
112 self.scatter_sub(self.input_x, indices, updates)
123 updates = Tensor(np.array([[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0]]]), mstype.float32)
126 out = net(indices, updates)
136 def construct(self, indices, updates): argument
137 self.scatter_mul(self.input_x, indices, updates)
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/third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/
Dscatter_arithmetic_cpu_kernel.cc79 auto *updates = reinterpret_cast<T *>(inputs[UPDATES_INDEX_]->addr); in Launch() local
81 compute_func_(this, input, indices, updates); in Launch()
91 void ScatterArithmeticCPUKernel<T>::ScatterAdd(T *input, const int *indices, const T *updates) cons… in ScatterAdd()
96 input[base_index_input + j] += updates[base_index_updates + j]; in ScatterAdd()
102 void ScatterArithmeticCPUKernel<T>::ScatterSub(T *input, const int *indices, const T *updates) cons… in ScatterSub()
107 input[base_index_input + j] -= updates[base_index_updates + j]; in ScatterSub()
113 void ScatterArithmeticCPUKernel<T>::ScatterMul(T *input, const int *indices, const T *updates) cons… in ScatterMul()
118 input[base_index_input + j] *= updates[base_index_updates + j]; in ScatterMul()
124 void ScatterArithmeticCPUKernel<T>::ScatterDiv(T *input, const int *indices, const T *updates) cons… in ScatterDiv()
128 auto divisor = updates[i * inner_size_ + j]; in ScatterDiv()
[all …]
Dscatter_arithmetic_cpu_kernel.h41 void ScatterAdd(T *input, const int *indices, const T *updates) const;
42 void ScatterSub(T *input, const int *indices, const T *updates) const;
43 void ScatterMul(T *input, const int *indices, const T *updates) const;
44 void ScatterDiv(T *input, const int *indices, const T *updates) const;
45 void ScatterMax(T *input, const int *indices, const T *updates) const;
46 void ScatterMin(T *input, const int *indices, const T *updates) const;
47 void ScatterUpdate(T *input, const int *indices, const T *updates) const;
/third_party/mesa3d/docs/relnotes/
D6.436 Glide (3dfx Voodoo1/2) requires updates
37 SVGA requires updates
38 DJGPP requires updates
39 GGI requires updates
40 BeOS requires updates
41 Allegro requires updates
42 D3D requires updates
44 The drivers which require updates mostly need to be updated to work
D6.4.2.rst53 Glide (3dfx Voodoo1/2) requires updates
54 SVGA requires updates
55 DJGPP requires updates
56 GGI requires updates
57 BeOS requires updates
58 Allegro requires updates
59 D3D requires updates
D6.4.1.rst48 Glide (3dfx Voodoo1/2) requires updates
49 SVGA requires updates
50 DJGPP requires updates
51 GGI requires updates
52 BeOS requires updates
53 Allegro requires updates
54 D3D requires updates
D6.4.rst71 Glide (3dfx Voodoo1/2) requires updates
72 SVGA requires updates
73 DJGPP requires updates
74 GGI requires updates
75 BeOS requires updates
76 Allegro requires updates
77 D3D requires updates
/third_party/boost/boost/graph/distributed/detail/
Dremote_update_set.hpp116 std::vector<updates_pair_type> updates(num_updates); in operator ()() local
117 receive(self->process_group, source, msg_updates, &updates[0], in operator ()()
123 derived->receive_update(source, updates[u].first, updates[u].second); in operator ()()
140 updates(num_processes(pg)), owner(owner) { in remote_update_set()
151 updates[get(owner, key)].push_back(std::make_pair(key, value)); in update()
160 process_id_type num_processes = updates.size(); in synchronize()
162 if (!updates[p].empty()) { in synchronize()
163 send(process_group, p, msg_num_updates, updates[p].size()); in synchronize()
165 &updates[p].front(), updates[p].size()); in synchronize()
166 updates[p].clear(); in synchronize()
[all …]
/third_party/mindspore/mindspore/ccsrc/transform/graph_ir/op_declare/
Dmatrix_calculation_ops_declare.cc21 …AP(TensorScatterUpdate) = {{1, INPUT_DESC(x)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
27 INPUT_MAP(ScatterUpdate) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)…
33 …_MAP(ScatterNdUpdate) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
39 INPUT_MAP(ScatterMax) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
45 INPUT_MAP(ScatterMin) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
51 INPUT_MAP(ScatterAdd) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
57 INPUT_MAP(ScatterSub) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
63 INPUT_MAP(ScatterMul) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
69 INPUT_MAP(ScatterDiv) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}};
75 INPUT_MAP(ScatterNdAdd) = {{1, INPUT_DESC(var)}, {2, INPUT_DESC(indices)}, {3, INPUT_DESC(updates)}…
[all …]
/third_party/mindspore/mindspore/ops/_grad_experimental/
Dgrad_array_ops.py62 def tensor_scatter_possible_replacement(x, indices, updates, out, dout): argument
71 out_indicators = F.cast(equal(updates, possibly_updated), mstype.int32)
77 return F.cast(dx, F.dtype(x)), zeros_like(indices), F.cast(dupdates, F.dtype(updates))
83 def bprop(x, indices, updates, out, dout): argument
84 return tensor_scatter_possible_replacement(x, indices, updates, out, dout)
92 def bprop(x, indices, updates, out, dout): argument
93 return tensor_scatter_possible_replacement(x, indices, updates, out, dout)
/third_party/mindspore/tests/ut/cpp/python_input/gtest_input/pre_activate/
Dtensor_scatter_update_fission_test.py41 def before(x, indices, updates): argument
42 res = tensor_scatter_update(x, indices, updates)
46 def after(x, indices, updates): argument
48 res = scatter_nd_update(res, indices, updates)
/third_party/flutter/flutter/packages/flutter/test/widgets/
Dsyncing_test.dart22 int updates = 0;
37 updates += 1;
61 expect(state.updates, equals(0));
75 expect(state.updates, equals(1));
95 expect(state.updates, equals(0));
109 expect(state.updates, equals(0));
/third_party/icu/ohos_icu4j/src/main/tests/ohos/global/icu/dev/test/util/
DICUServiceTestSample.java88 String[][] updates = { field in ICUServiceTestSample.HelloUpdateThread
99 for (int i = 0; i < updates.length; ++i) { in run()
105 HelloService.register(updates[i][0], new ULocale(updates[i][1])); in run()
/third_party/icu/icu4j/main/tests/core/src/com/ibm/icu/dev/test/util/
DICUServiceTestSample.java85 String[][] updates = { field in ICUServiceTestSample.HelloUpdateThread
96 for (int i = 0; i < updates.length; ++i) { in run()
102 HelloService.register(updates[i][0], new ULocale(updates[i][1])); in run()
/third_party/cef/tests/ceftests/
Dosr_accessibility_unittest.cc270 CefRefPtr<CefListValue> updates = GetUpdateList(value); in GetUpdateListSize() local
271 if (updates) in GetUpdateListSize()
272 return updates->GetSize(); in GetUpdateListSize()
278 CefRefPtr<CefListValue> updates = GetUpdateList(value); in GetUpdateValue() local
279 if (!updates) in GetUpdateValue()
281 EXPECT_LT(index, updates->GetSize()); in GetUpdateValue()
282 CefRefPtr<CefDictionaryValue> update = updates->GetDictionary(index); in GetUpdateValue()
/third_party/skia/third_party/externals/angle2/src/libANGLE/renderer/vulkan/doc/
DDeferredClears.md30 In scenario 1, the staged updates in the `vk::ImageHelper` are flushed. That includes the `Clear`
31 updates which will be done with an out-of-render-pass `vkCmdClear*Image` call.
33 In scenario 2, `FramebufferVk::syncState` is responsible for extracting the staged `Clear` updates,
34 assuming there are no subsequent updates to that subresource of the image, and keep them as
/third_party/flutter/flutter/packages/flutter_tools/lib/src/build_system/
Dfilecache.pb.dart33 …FileHash copyWith(void Function(FileHash) updates) => super.copyWith(($core.dynamic message) => up…
73 …leStorage copyWith(void Function(FileStorage) updates) => super.copyWith(($core.dynamic message) =…
/third_party/node/deps/npm/node_modules/mississippi/
Dchangelog.md6 …ning. (Use the individual modules to avoid potentially unnecessary major updates in your project).
9 * Update to pump@2.0.1. (Use the individual modules to avoid potentially unnecessary major updates…
/third_party/skia/third_party/externals/angle2/scripts/
Dgenerate_stats.py471 def batch_update(service, spreadsheet_id, updates): argument
473 'requests': updates,
483 updates = [{'addSheet': {'properties': {'title': sheet_name,}}} for sheet_name in sheet_names]
484 batch_update(service, spreadsheet_id, updates)
529 updates = []
537 updates.append({
558 if updates:
560 batch_update(service, spreadsheet_id, updates)
/third_party/flutter/skia/third_party/externals/angle2/scripts/
Dgenerate_stats.py467 def batch_update(service, spreadsheet_id, updates): argument
469 'requests': updates,
479 updates = [{'addSheet': {'properties': {'title': sheet_name,}}} for sheet_name in sheet_names]
480 batch_update(service, spreadsheet_id, updates)
525 updates = []
533 updates.append({
554 if updates:
556 batch_update(service, spreadsheet_id, updates)

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