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Searched refs:Compute (Results 1 – 25 of 787) sorted by relevance

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/third_party/flutter/skia/third_party/externals/dawn/src/tests/unittests/
DPerStageTests.cpp25 ASSERT_EQ(StageBit(ShaderStage::Compute), dawn::ShaderStageBit::Compute); in TEST()
35 data[ShaderStage::Compute] = -1; in TEST()
40 ASSERT_EQ(data[dawn::ShaderStageBit::Compute], -1); in TEST()
48 counts[ShaderStage::Compute] = 0; in TEST()
56 ASSERT_EQ(counts[dawn::ShaderStageBit::Compute], 1); in TEST()
64 counts[ShaderStage::Compute] = 0; in TEST()
72 ASSERT_EQ(counts[dawn::ShaderStageBit::Compute], 0); in TEST()
80 counts[ShaderStage::Compute] = 0; in TEST()
88 ASSERT_EQ(counts[dawn::ShaderStageBit::Compute], 0); in TEST()
/third_party/skia/third_party/externals/dawn/src/tests/unittests/
DPerStageTests.cpp25 ASSERT_EQ(StageBit(SingleShaderStage::Compute), wgpu::ShaderStage::Compute); in TEST()
35 data[SingleShaderStage::Compute] = -1; in TEST()
40 ASSERT_EQ(data[wgpu::ShaderStage::Compute], -1); in TEST()
48 counts[SingleShaderStage::Compute] = 0; in TEST()
56 ASSERT_EQ(counts[wgpu::ShaderStage::Compute], 1); in TEST()
64 counts[SingleShaderStage::Compute] = 0; in TEST()
72 ASSERT_EQ(counts[wgpu::ShaderStage::Compute], 0); in TEST()
80 counts[SingleShaderStage::Compute] = 0; in TEST()
88 ASSERT_EQ(counts[wgpu::ShaderStage::Compute], 0); in TEST()
/third_party/mindspore/tests/ut/cpp/dataset/
Dtokenizer_op_test.cc51 Status s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
71 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
85 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
94 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
103 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
113 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
126 Status s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
137 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
146 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
155 s = op->Compute(TensorRow(0, {input}), &output); in TEST_F()
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Dmask_test.cc46 ASSERT_TRUE(op->Compute(t, &out).IsOk()); in TEST_F()
49 ASSERT_TRUE(op->Compute(t, &out).IsOk()); in TEST_F()
52 ASSERT_TRUE(op->Compute(t, &out).IsOk()); in TEST_F()
55 ASSERT_TRUE(op->Compute(t, &out).IsOk()); in TEST_F()
58 ASSERT_TRUE(op->Compute(t, &out).IsOk()); in TEST_F()
61 ASSERT_TRUE(op->Compute(t, &out).IsOk()); in TEST_F()
Dslice_op_test.cc39 Status s = op->Compute(input, &output); in TEST_F()
66 Status s = op->Compute(input, &output); in TEST_F()
95 Status s = op->Compute(input, &output); in TEST_F()
124 Status s = op->Compute(input, &output); in TEST_F()
153 Status s = op->Compute(input, &output); in TEST_F()
179 Status s = op->Compute(input, &output); in TEST_F()
204 Status s = op->Compute(input, &output); in TEST_F()
228 Status s = op->Compute(input, &output); in TEST_F()
258 Status s = op->Compute(input, &output); in TEST_F()
285 Status s = op->Compute(input, &output); in TEST_F()
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Drandom_color_adjust_op_test.cc38 Status s = op->Compute(input_tensor_, &output_tensor); in TEST_F()
50 Status s = op->Compute(input_tensor_, &output_tensor); in TEST_F()
62 Status s = op->Compute(input_tensor_, &output_tensor); in TEST_F()
74 Status s = op->Compute(input_tensor_, &output_tensor); in TEST_F()
Dsolarize_op_test.cc41 Status s = op->Compute(input_tensor_, &output_tensor_); in TEST_F()
61 Status s = op->Compute(test_input_tensor, &test_output_tensor); in TEST_F()
89 Status s = op->Compute(test_input_tensor, &test_output_tensor); in TEST_F()
114 Status s = op->Compute(test_input_tensor, &test_output_tensor); in TEST_F()
139 Status s = op->Compute(test_input_tensor, &test_output_tensor); in TEST_F()
161 Status s = op->Compute(test_input_tensor, &test_output_tensor); in TEST_F()
Dfill_op_test.cc41 Status s = op->Compute(input, &output); in TEST_F()
68 Status s = op->Compute(input, &output); in TEST_F()
98 Status s = op->Compute(input, &output); in TEST_F()
118 Status s = op->Compute(input, &output); in TEST_F()
147 Status s = op->Compute(input, &output); in TEST_F()
167 Status s = op->Compute(input, &output); in TEST_F()
/third_party/ffmpeg/libavcodec/arm/
Djrevdct_arm.S137 @ Compute DESCALE(tmp10 + tmp3, CONST_BITS-PASS1_BITS)
143 @ Compute DESCALE(tmp10 - tmp3, CONST_BITS-PASS1_BITS)
149 @ Compute DESCALE(tmp11 + tmp2, CONST_BITS-PASS1_BITS)
155 @ Compute DESCALE(tmp11 - tmp2, CONST_BITS-PASS1_BITS)
161 @ Compute DESCALE(tmp12 + tmp1, CONST_BITS-PASS1_BITS)
167 @ Compute DESCALE(tmp12 - tmp1, CONST_BITS-PASS1_BITS)
173 @ Compute DESCALE(tmp13 + tmp0, CONST_BITS-PASS1_BITS)
179 @ Compute DESCALE(tmp13 - tmp0, CONST_BITS-PASS1_BITS)
276 @ Compute DESCALE(tmp10 + tmp3, CONST_BITS+PASS1_BITS+3)
282 @ Compute DESCALE(tmp10 - tmp3, CONST_BITS+PASS1_BITS+3)
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/third_party/boost/libs/compute/doc/
Dfaq.qbk38 [h3 Can you compare Boost.Compute to other GPGPU libraries such as Thrust,
45 accelerators. I feel Boost.Compute is superior in that it uses the
55 OpenCL. The aims and scope are a bit different from the Boost Compute
57 Boost.Compute is closer to the C++ standard library. I don't feel that
58 Boost.Compute really fills the same role as VexCL. In fact, the recent versions
59 of VexCL allow to use Boost.Compute as one of the backends, which makes
73 Boost.Compute these form expression objects which are then translated
87 that adding another abstraction level within Boost.Compute would only
92 lambdas with Boost.Compute?]
99 This is the reason why I wrote the Boost.Compute lambda library.
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Dgetting_started.qbk13 Boost.Compute is available in Boost starting with version 1.61. Visit
20 Boost.Compute is a header-only library, so no linking is required. To use the
28 All of the Boost.Compute headers can be included with the following directive:
41 All of the classes and functions in Boost.Compute live in the `boost::compute`
52 Boost.Compute provides a number of optional features which can be configured
70 Builds Boost.Compute in a thread-safe mode. This requires either
Dadvanced_topics.qbk11 The following topics show advanced features of the Boost Compute library.
17 used with the Boost Compute library on both the host and device.
19 Boost.Compute provides typedefs for these types which take the form:
40 The OpenCL runtime and the Boost Compute library provide a number of built-in
44 The Boost Compute library provides a few different ways to create custom
73 "Custom OpenCL functions in C++ with Boost.Compute"] for more details.
79 Boost.Compute provides the [macroref BOOST_COMPUTE_ADAPT_STRUCT
88 Compute library provides them.
124 Boost.Compute algorithms to perform more complex operations on the device.
150 Compute library provides the [funcref boost::compute::copy_async copy_async()]
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Ddesign.qbk13 The Boost Compute library consists of several different components. The core
32 Boost.Compute also supplies a number of facilities for interoperation with
37 a full list of functions, classes, and macros provided by Boost.Compute.
43 Boost.Compute uses [@http://en.wikipedia.org/wiki/OpenCL OpenCL] as its
57 * Using OpenCL allows Boost.Compute to directly interoperate with other OpenCL
60 * The "thin" C++ wrapper provided by Boost.Compute allows the user to break-out
/third_party/typescript/tests/baselines/reference/
DcomputedTypesKeyofNoIndexSignatureType.symbols2 type Compute<A> = { [K in keyof A]: Compute<A[K]>; } & {};
3 >Compute : Symbol(Compute, Decl(computedTypesKeyofNoIndexSignatureType.ts, 0, 0))
7 >Compute : Symbol(Compute, Decl(computedTypesKeyofNoIndexSignatureType.ts, 0, 0))
61 type WithIndex = Compute<FooBar & IndexObject>; // { [x: string]: {}; foo: "hello"; bar: "world";…
63 >Compute : Symbol(Compute, Decl(computedTypesKeyofNoIndexSignatureType.ts, 0, 0))
DcomputedTypesKeyofNoIndexSignatureType.js2 type Compute<A> = { [K in keyof A]: Compute<A[K]>; } & {};
16 type WithIndex = Compute<FooBar & IndexObject>; // { [x: string]: {}; foo: "hello"; bar: "world";…
/third_party/mindspore/mindspore/ccsrc/minddata/dataset/text/kernels/
Dbasic_tokenizer_op.cc142 Status BasicTokenizerOp::Compute(const TensorRow &input, TensorRow *output) { in Compute() function in mindspore::dataset::BasicTokenizerOp
153 RETURN_IF_NOT_OK(case_fold_->Compute(input[0], &processed_tensor)); in Compute()
160 RETURN_IF_NOT_OK(nfd_normalize_->Compute(cur_input, &processed_tensor)); in Compute()
162 RETURN_IF_NOT_OK(replace_accent_chars_->Compute(cur_input, &processed_tensor)); in Compute()
164 RETURN_IF_NOT_OK(common_normalize_->Compute(input[0], &processed_tensor)); in Compute()
168 RETURN_IF_NOT_OK(replace_control_chars_->Compute(cur_input, &processed_tensor)); in Compute()
169 return regex_tokenizer_->Compute(TensorRow(0, {std::move(processed_tensor)}), output); in Compute()
Dbert_tokenizer_op.cc19 Status BertTokenizerOp::Compute(const TensorRow &input, TensorRow *output) { in Compute() function in mindspore::dataset::BertTokenizerOp
22 RETURN_IF_NOT_OK(basic_tokenizer_.Compute(input, &basic_tensor)); in Compute()
23 RETURN_IF_NOT_OK(wordpiece_tokenizer_.Compute(basic_tensor, output)); in Compute()
/third_party/mindspore/mindspore/ccsrc/minddata/dataset/kernels/
Dtensor_op.cc25 Status TensorOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) { in Compute() function in mindspore::dataset::TensorOp
38 Status TensorOp::Compute(const TensorRow &input, TensorRow *output) { in Compute() function in mindspore::dataset::TensorOp
43 return Compute(input[0], &(*output)[0]); in Compute()
50 Status TensorOp::Compute(const std::shared_ptr<DeviceTensor> &input, std::shared_ptr<DeviceTensor> … in Compute() function in mindspore::dataset::TensorOp
/third_party/skia/third_party/externals/dawn/src/tests/unittests/validation/
DResourceUsageTrackingTests.cpp105 {{0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Uniform}, in TEST_F()
106 {1, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::ReadOnlyStorage}}); in TEST_F()
148 {{0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Storage}, in TEST_F()
149 {1, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::ReadOnlyStorage}}); in TEST_F()
187 device, {{0, wgpu::ShaderStage::Fragment | wgpu::ShaderStage::Compute, in TEST_F()
189 {1, wgpu::ShaderStage::Fragment | wgpu::ShaderStage::Compute, in TEST_F()
260 device, {{0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Storage}}); in TEST_F()
262 device, {{0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Uniform}}); in TEST_F()
286 device, {{0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Storage}}); in TEST_F()
349 {{0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::ReadOnlyStorage}}); in TEST_F()
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DStorageTextureValidationTests.cpp213 {wgpu::ShaderStage::Compute, wgpu::StorageTextureAccess::WriteOnly, true}}}; in TEST_F()
317 device, {{0, wgpu::ShaderStage::Compute, bindingType, kFormat, dimension}})); in TEST_F()
329 {0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Uniform}, in TEST_F()
330 {0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::Storage}, in TEST_F()
331 {0, wgpu::ShaderStage::Compute, wgpu::BufferBindingType::ReadOnlyStorage}, in TEST_F()
332 {0, wgpu::ShaderStage::Compute, wgpu::SamplerBindingType::Filtering}, in TEST_F()
333 {0, wgpu::ShaderStage::Compute, wgpu::TextureSampleType::Float}, in TEST_F()
334 {0, wgpu::ShaderStage::Compute, wgpu::StorageTextureAccess::WriteOnly, in TEST_F()
375 errorBindGroupLayoutEntry.visibility = wgpu::ShaderStage::Compute; in TEST_F()
389 defaultBindGroupLayoutEntry.visibility = wgpu::ShaderStage::Compute; in TEST_F()
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/third_party/flutter/skia/third_party/externals/dawn/src/dawn_native/
DPerStage.h28 enum class ShaderStage { Vertex, Fragment, Compute }; enumerator
32 static_assert(static_cast<uint32_t>(ShaderStage::Compute) < kNumStages, "");
40 static_assert(static_cast<uint32_t>(dawn::ShaderStageBit::Compute) ==
41 (1 << static_cast<uint32_t>(ShaderStage::Compute)),
/third_party/typescript/tests/cases/compiler/
DcomputedTypesKeyofNoIndexSignatureType.ts1 type Compute<A> = { [K in keyof A]: Compute<A[K]>; } & {}; alias
15 type WithIndex = Compute<FooBar & IndexObject>; // { [x: string]: {}; foo: "hello"; bar: "world";…
/third_party/skia/third_party/externals/dawn/src/dawn_native/
DPerStage.h29 enum class SingleShaderStage { Vertex, Fragment, Compute }; enumerator
38 static_assert(static_cast<uint32_t>(SingleShaderStage::Compute) < kNumStages, "");
46 static_assert(static_cast<uint32_t>(wgpu::ShaderStage::Compute) ==
47 (1 << static_cast<uint32_t>(SingleShaderStage::Compute)),
/third_party/mindspore/mindspore/ccsrc/minddata/dataset/kernels/image/
Dresize_with_bbox_op.h41 Status Compute(const TensorRow &input, TensorRow *output) override;
46 Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override { in Compute() function
47 return TensorOp::Compute(input, output); in Compute()
Duniform_aug_op.cc29 Status UniformAugOp::Compute(const TensorRow &input, TensorRow *output) { in Compute() function in mindspore::dataset::UniformAugOp
44 RETURN_IF_NOT_OK(tensor_op->Compute(input, output)); in Compute()
47 RETURN_IF_NOT_OK(tensor_op->Compute(std::move(*output), output)); in Compute()

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