| /third_party/boost/boost/math/special_functions/detail/ |
| D | igamma_large.hpp | 89 T workspace[13]; in igamma_temme_large() local
112 workspace[0] = tools::evaluate_polynomial(C0, z); in igamma_temme_large()
133 workspace[1] = tools::evaluate_polynomial(C1, z); in igamma_temme_large()
152 workspace[2] = tools::evaluate_polynomial(C2, z); in igamma_temme_large()
169 workspace[3] = tools::evaluate_polynomial(C3, z); in igamma_temme_large()
184 workspace[4] = tools::evaluate_polynomial(C4, z); in igamma_temme_large()
197 workspace[5] = tools::evaluate_polynomial(C5, z); in igamma_temme_large()
212 workspace[6] = tools::evaluate_polynomial(C6, z); in igamma_temme_large()
225 workspace[7] = tools::evaluate_polynomial(C7, z); in igamma_temme_large()
236 workspace[8] = tools::evaluate_polynomial(C8, z); in igamma_temme_large()
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| D | ibeta_inverse.hpp | 73 T workspace[7]; in temme_method_1_ibeta_inverse() local
85 workspace[0] = -B * r2 / 2; in temme_method_1_ibeta_inverse()
86 workspace[1] = (1 - 2 * B) / 8; in temme_method_1_ibeta_inverse()
87 workspace[2] = -(B * r2 / 48); in temme_method_1_ibeta_inverse()
88 workspace[3] = T(-1) / 192; in temme_method_1_ibeta_inverse()
89 workspace[4] = -B * r2 / 3840; in temme_method_1_ibeta_inverse()
90 terms[1] = tools::evaluate_polynomial(workspace, eta0, 5); in temme_method_1_ibeta_inverse()
92 workspace[0] = B * r2 * (3 * B - 2) / 12; in temme_method_1_ibeta_inverse()
93 workspace[1] = (20 * B_2 - 12 * B + 1) / 128; in temme_method_1_ibeta_inverse()
94 workspace[2] = B * r2 * (20 * B - 1) / 960; in temme_method_1_ibeta_inverse()
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| /third_party/weston/ivi-shell/ |
| D | weston.ini.in | 16 workspace-background-layer-id=2000
17 workspace-layer-id=3000
37 workspace-background-color=0x99000000
38 workspace-background-id=2001
41 workspace-id=0
47 workspace-id=0
53 workspace-id=1
59 workspace-id=1
65 workspace-id=2
71 workspace-id=3
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| /third_party/skia/third_party/externals/libjpeg-turbo/ |
| D | jcdctmgr.c | 33 DCTELEM *workspace);
36 FAST_FLOAT *workspace);
39 DCTELEM *workspace);
42 FAST_FLOAT *workspace);
61 DCTELEM *workspace; member
373 convsamp(JSAMPARRAY sample_data, JDIMENSION start_col, DCTELEM *workspace) in convsamp() argument
379 workspaceptr = workspace; in convsamp()
408 quantize(JCOEFPTR coef_block, DCTELEM *divisors, DCTELEM *workspace) in quantize() argument
421 temp = workspace[i]; in quantize()
446 temp = workspace[i]; in quantize()
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| D | jdcoefct.c | 442 JCOEF *workspace; in decompress_smooth_data() local
452 workspace = coef->workspace; in decompress_smooth_data()
582 jcopy_block_row(buffer_ptr, (JBLOCKROW)workspace, (JDIMENSION)1); in decompress_smooth_data()
610 if ((Al = coef_bits[1]) != 0 && workspace[1] == 0) { in decompress_smooth_data()
627 workspace[1] = (JCOEF)pred; in decompress_smooth_data()
630 if ((Al = coef_bits[2]) != 0 && workspace[8] == 0) { in decompress_smooth_data()
647 workspace[8] = (JCOEF)pred; in decompress_smooth_data()
650 if ((Al = coef_bits[3]) != 0 && workspace[16] == 0) { in decompress_smooth_data()
665 workspace[16] = (JCOEF)pred; in decompress_smooth_data()
668 if ((Al = coef_bits[4]) != 0 && workspace[9] == 0) { in decompress_smooth_data()
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| /third_party/libjpeg-turbo/ |
| D | jcdctmgr.c | 33 DCTELEM *workspace);
36 FAST_FLOAT *workspace);
39 DCTELEM *workspace);
42 FAST_FLOAT *workspace);
61 DCTELEM *workspace; member
373 convsamp(JSAMPARRAY sample_data, JDIMENSION start_col, DCTELEM *workspace) in convsamp() argument
379 workspaceptr = workspace; in convsamp()
408 quantize(JCOEFPTR coef_block, DCTELEM *divisors, DCTELEM *workspace) in quantize() argument
421 temp = workspace[i]; in quantize()
446 temp = workspace[i]; in quantize()
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| /third_party/flutter/skia/third_party/externals/libjpeg-turbo/ |
| D | jcdctmgr.c | 33 DCTELEM *workspace);
36 FAST_FLOAT *workspace);
39 DCTELEM *workspace);
42 FAST_FLOAT *workspace);
61 DCTELEM *workspace; member
373 convsamp(JSAMPARRAY sample_data, JDIMENSION start_col, DCTELEM *workspace) in convsamp() argument
379 workspaceptr = workspace; in convsamp()
408 quantize(JCOEFPTR coef_block, DCTELEM *divisors, DCTELEM *workspace) in quantize() argument
421 temp = workspace[i]; in quantize()
446 temp = workspace[i]; in quantize()
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| /third_party/flutter/skia/third_party/externals/libjpeg-turbo/simd/powerpc/ |
| D | jquanti-altivec.c | 52 DCTELEM *workspace) in jsimd_convsamp_altivec() argument
90 vec_st(out0, 0, workspace); in jsimd_convsamp_altivec()
91 vec_st(out1, 16, workspace); in jsimd_convsamp_altivec()
92 vec_st(out2, 32, workspace); in jsimd_convsamp_altivec()
93 vec_st(out3, 48, workspace); in jsimd_convsamp_altivec()
94 vec_st(out4, 64, workspace); in jsimd_convsamp_altivec()
95 vec_st(out5, 80, workspace); in jsimd_convsamp_altivec()
96 vec_st(out6, 96, workspace); in jsimd_convsamp_altivec()
97 vec_st(out7, 112, workspace); in jsimd_convsamp_altivec()
117 DCTELEM *workspace) in jsimd_quantize_altivec() argument
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| /third_party/libjpeg-turbo/simd/powerpc/ |
| D | jquanti-altivec.c | 52 DCTELEM *workspace) in jsimd_convsamp_altivec() argument
90 vec_st(out0, 0, workspace); in jsimd_convsamp_altivec()
91 vec_st(out1, 16, workspace); in jsimd_convsamp_altivec()
92 vec_st(out2, 32, workspace); in jsimd_convsamp_altivec()
93 vec_st(out3, 48, workspace); in jsimd_convsamp_altivec()
94 vec_st(out4, 64, workspace); in jsimd_convsamp_altivec()
95 vec_st(out5, 80, workspace); in jsimd_convsamp_altivec()
96 vec_st(out6, 96, workspace); in jsimd_convsamp_altivec()
97 vec_st(out7, 112, workspace); in jsimd_convsamp_altivec()
117 DCTELEM *workspace) in jsimd_quantize_altivec() argument
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| /third_party/skia/third_party/externals/libjpeg-turbo/simd/arm/ |
| D | jquanti-neon.c | 46 DCTELEM *workspace) in jsimd_convsamp_neon() argument
74 vst1q_s16(workspace + 0 * DCTSIZE, row0); in jsimd_convsamp_neon()
75 vst1q_s16(workspace + 1 * DCTSIZE, row1); in jsimd_convsamp_neon()
76 vst1q_s16(workspace + 2 * DCTSIZE, row2); in jsimd_convsamp_neon()
77 vst1q_s16(workspace + 3 * DCTSIZE, row3); in jsimd_convsamp_neon()
78 vst1q_s16(workspace + 4 * DCTSIZE, row4); in jsimd_convsamp_neon()
79 vst1q_s16(workspace + 5 * DCTSIZE, row5); in jsimd_convsamp_neon()
80 vst1q_s16(workspace + 6 * DCTSIZE, row6); in jsimd_convsamp_neon()
81 vst1q_s16(workspace + 7 * DCTSIZE, row7); in jsimd_convsamp_neon()
95 DCTELEM *workspace) in jsimd_quantize_neon() argument
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/ |
| D | unique_cpu_kernel.cc | 45 const std::vector<kernel::AddressPtr> &workspace, in Launch() argument
48 LaunchKernel<int, int>(inputs, workspace, outputs); in Launch()
50 LaunchKernel<int64_t, int64_t>(inputs, workspace, outputs); in Launch()
52 LaunchKernel<float, int>(inputs, workspace, outputs); in Launch()
74 …rnel::LaunchKernel(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in LaunchKernel() argument
82 if (workspace.size() < 3) { in LaunchKernel()
90 params->input_idx_ = reinterpret_cast<IndexType *>(workspace[0]->addr); in LaunchKernel()
91 params->workspace_ = reinterpret_cast<DataType *>(workspace[1]->addr); in LaunchKernel()
92 params->workspace_idx_ = reinterpret_cast<IndexType *>(workspace[2]->addr); in LaunchKernel()
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| D | dropout_grad_kernel.cc | 60 …uBwdKernel::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in Launch() argument
65 DropoutBackwardKernel<float16>(inputs, workspace, outputs, keep_prob_); in Launch()
67 DropoutBackwardKernel<float>(inputs, workspace, outputs, keep_prob_); in Launch()
78 const std::vector<AddressPtr> &workspace, in DropoutBackwardKernel() argument
86 float *input_tmp = reinterpret_cast<float *>(workspace[0]->addr); in DropoutBackwardKernel()
87 float *output_tmp = reinterpret_cast<float *>(workspace[1]->addr); in DropoutBackwardKernel()
88 float *mask_tmp = reinterpret_cast<float *>(workspace[2]->addr); in DropoutBackwardKernel()
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| D | sparse_apply_proximal_adagrad_cpu_kernel.cc | 128 … const std::vector<kernel::AddressPtr> &workspace) const { in LaunchKernel()
136 auto new_grad = reinterpret_cast<float *>(workspace[0]->addr); in LaunchKernel()
137 auto new_indices = reinterpret_cast<T *>(workspace[1]->addr); in LaunchKernel()
138 auto workspace_grad = reinterpret_cast<float *>(workspace[2]->addr); in LaunchKernel()
139 auto workspace_indices = reinterpret_cast<T *>(workspace[3]->addr); in LaunchKernel()
165 const std::vector<kernel::AddressPtr> &workspace, in Launch() argument
168 …CHECK_KERNEL_WORKSPACE_SIZE(workspace.size(), kSparseApplyProximalAdagradWorkspaceSize, kernel_nam… in Launch()
170 LaunchKernel<int>(inputs, workspace); in Launch()
172 LaunchKernel<int64_t>(inputs, workspace); in Launch()
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| D | cumsum_cpu_kernel.cc | 76 const std::vector<kernel::AddressPtr> &workspace, in Launch() argument
82 LaunchKernel<float_t>(inputs, workspace, outputs); in Launch()
84 LaunchKernel<float16>(inputs, workspace, outputs); in Launch()
86 LaunchKernel<int32_t>(inputs, workspace, outputs); in Launch()
88 LaunchKernel<int8_t>(inputs, workspace, outputs); in Launch()
90 LaunchKernel<uint8_t>(inputs, workspace, outputs); in Launch()
203 void CumSumCPUKernel::LaunchCumSum(const T *input, T *output, T *workspace, size_t start, size_t en… in LaunchCumSum() argument
209 Copy(workspace, output, dims_[0], dims_[1], dims_[2], stride_, stride2_, start, end); in LaunchCumSum()
210 …CumSumKernelReverse(workspace, output, dims_[0], dims_[1], dims_[2], stride_, stride2_, start, end… in LaunchCumSum()
213 Copy(workspace, output, dims_[0], dims_[1], dims_[2], stride_, stride2_, start, end); in LaunchCumSum()
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| D | sparse_apply_lazy_adam_cpu_kernel.cc | 124 … const std::vector<kernel::AddressPtr> &workspace) const { in LaunchKernel()
139 auto *new_grad = reinterpret_cast<float *>(workspace[0]->addr); in LaunchKernel()
140 auto *new_indices = reinterpret_cast<T *>(workspace[1]->addr); in LaunchKernel()
141 auto *workspace_grad = reinterpret_cast<float *>(workspace[2]->addr); in LaunchKernel()
142 auto *workspace_indices = reinterpret_cast<T *>(workspace[3]->addr); in LaunchKernel()
172 const std::vector<kernel::AddressPtr> &workspace, in Launch() argument
175 CHECK_KERNEL_WORKSPACE_SIZE(workspace.size(), kSparseApplyLazyAdamWorkspaceSize, kernel_name_); in Launch()
177 LaunchKernel<int>(inputs, workspace); in Launch()
179 LaunchKernel<int64_t>(inputs, workspace); in Launch()
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| D | sparse_apply_ftrl_cpu_kernel.cc | 141 … const std::vector<kernel::AddressPtr> &workspace) const { in LaunchKernel()
147 auto *new_grad = reinterpret_cast<float *>(workspace[0]->addr); in LaunchKernel()
148 auto *new_indices = reinterpret_cast<T *>(workspace[1]->addr); in LaunchKernel()
149 auto *workspace_grad = reinterpret_cast<float *>(workspace[2]->addr); in LaunchKernel()
150 auto *workspace_indices = reinterpret_cast<T *>(workspace[3]->addr); in LaunchKernel()
178 const std::vector<kernel::AddressPtr> &workspace, in Launch() argument
181 CHECK_KERNEL_WORKSPACE_SIZE(workspace.size(), kSparseApplyFtrlWorkspaceSize, kernel_name_); in Launch()
183 LaunchKernel<int>(inputs, workspace); in Launch()
185 LaunchKernel<int64_t>(inputs, workspace); in Launch()
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| /third_party/typescript/tests/baselines/reference/ |
| D | visibilityOfCrossModuleTypeUsage.symbols | 11 var absoluteWorkspacePath = configuration.workspace.toAbsolutePath(configuration.server);
13 >configuration.workspace.toAbsolutePath : Symbol(IWorkspace.toAbsolutePath, Decl(visibilityOfCrossM…
14 >configuration.workspace : Symbol(commands.IConfiguration.workspace, Decl(visibilityOfCrossModuleTy…
16 >workspace : Symbol(commands.IConfiguration.workspace, Decl(visibilityOfCrossModuleTypeUsage_comman…
34 workspace: server.IWorkspace;
35 >workspace : Symbol(IConfiguration.workspace, Decl(visibilityOfCrossModuleTypeUsage_commands.ts, 5,…
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| D | visibilityOfCrossModuleTypeUsage.types | 10 var absoluteWorkspacePath = configuration.workspace.toAbsolutePath(configuration.server);
12 >configuration.workspace.toAbsolutePath(configuration.server) : string
13 >configuration.workspace.toAbsolutePath : (server: import("tests/cases/compiler/visibilityOfCrossMo…
14 >configuration.workspace : import("tests/cases/compiler/visibilityOfCrossModuleTypeUsage_server").I…
16 >workspace : import("tests/cases/compiler/visibilityOfCrossModuleTypeUsage_server").IWorkspace
32 workspace: server.IWorkspace;
33 >workspace : server.IWorkspace
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/akg/ascend/ |
| D | akg_ascend_kernel_mod.cc | 52 …gKernelMod::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in Launch() argument
79 if (!workspace.empty()) { in Launch()
80 … (void)std::transform(std::begin(workspace), std::end(workspace), std::back_inserter(runtime_args), in Launch()
96 const std::vector<AddressPtr> &workspace, in GenTask() argument
117 if (!workspace.empty()) { in GenTask()
118 …(void)std::transform(std::begin(workspace), std::end(workspace), std::back_inserter(workspace_addr… in GenTask()
119 [](const AddressPtr &workspace) -> void * { return workspace->addr; }); in GenTask() argument
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/ |
| D | ctcloss_gpu_kernel.h | 69 bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in Launch() argument
74 LaunchInit(inputs, workspace, outputs); in Launch()
75 LaunchFirstHalf(inputs, workspace, outputs, stream_ptr); in Launch()
76 LaunchSecondHalf(inputs, workspace, outputs, stream_ptr); in Launch()
124 void LaunchInit(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in LaunchInit() argument
132 softmax_probs = GetDeviceAddress<T>(workspace, 0); in LaunchInit()
133 cum_labels_length = GetDeviceAddress<int>(workspace, 1); in LaunchInit()
134 label_squence_length = GetDeviceAddress<int>(workspace, 2); in LaunchInit()
135 label_value_sp = GetDeviceAddress<int>(workspace, 3); in LaunchInit()
136 label_value_pcr = GetDeviceAddress<int>(workspace, 4); in LaunchInit()
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/ |
| D | cumprod_impl.cu | 115 void CumProd(const T *input, T *output, T *workspace, size_t dim0, size_t dim1, size_t dim2, size_t… in CumProd() argument
121 Copy<<<GET_BLOCKS(size * dim1), GET_THREADS, 0, stream>>>(workspace, output, size * dim1); in CumProd()
122 …CumProdKernelReverse<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(workspace, output, dim0, dim1, … in CumProd()
126 Copy<<<GET_BLOCKS(size * dim1), GET_THREADS, 0, stream>>>(workspace, output, size * dim1); in CumProd()
127 …CumProdKernel<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(workspace, output, dim0, dim1, dim2, s… in CumProd()
140 template void CumProd<uint8_t>(const uint8_t *input, uint8_t *output, uint8_t *workspace, size_t di…
143 template void CumProd<int8_t>(const int8_t *input, int8_t *output, int8_t *workspace, size_t dim0, …
146 template void CumProd<int32_t>(const int32_t *input, int32_t *output, int32_t *workspace, size_t di…
149 template void CumProd<double>(const double *input, double *output, double *workspace, size_t dim0, …
152 template void CumProd<float>(const float *input, float *output, float *workspace, size_t dim0, size…
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| D | cumsum_impl.cu | 115 void CumSum(const T *input, T *output, T *workspace, size_t dim0, size_t dim1, size_t dim2, size_t … in CumSum() argument
121 Copy<<<GET_BLOCKS(size * dim1), GET_THREADS, 0, stream>>>(workspace, output, size * dim1); in CumSum()
122 …CumSumKernelReverse<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(workspace, output, dim0, dim1, d… in CumSum()
126 Copy<<<GET_BLOCKS(size * dim1), GET_THREADS, 0, stream>>>(workspace, output, size * dim1); in CumSum()
127 …CumSumKernel<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(workspace, output, dim0, dim1, dim2, st… in CumSum()
140 template void CumSum<uint8_t>(const uint8_t *input, uint8_t *output, uint8_t *workspace, size_t dim…
143 template void CumSum<int8_t>(const int8_t *input, int8_t *output, int8_t *workspace, size_t dim0, s…
146 template void CumSum<int32_t>(const int32_t *input, int32_t *output, int32_t *workspace, size_t dim…
149 template void CumSum<double>(const double *input, double *output, double *workspace, size_t dim0, s…
152 template void CumSum<float>(const float *input, float *output, float *workspace, size_t dim0, size_…
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| /third_party/mindspore/mindspore/ccsrc/runtime/device/ascend/tasksink/ |
| D | task_generator.cc | 127 kernel::AddressPtr workspace = std::make_shared<kernel::Address>(); in LaunchAddrCleanKernel() local
128 MS_EXCEPTION_IF_NULL(workspace); in LaunchAddrCleanKernel()
129 workspace->addr = device_address->ptr_; in LaunchAddrCleanKernel()
130 MS_EXCEPTION_IF_NULL(workspace->addr); in LaunchAddrCleanKernel()
131 workspace->size = device_address->size_; in LaunchAddrCleanKernel()
132 kernel_inputs->push_back(workspace); in LaunchAddrCleanKernel()
222 kernel::AddressPtr workspace = std::make_shared<kernel::Address>(); in LaunchKernel() local
223 MS_EXCEPTION_IF_NULL(workspace); in LaunchKernel()
224 workspace->addr = device_address->ptr_; in LaunchKernel()
225 workspace->size = device_address->size_; in LaunchKernel()
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| /third_party/grpc/test/core/iomgr/ios/CFStreamTests/ |
| D | build_and_run_tests.sh | 33 -workspace CFStreamTests.xcworkspace \
44 -workspace CFStreamTests.xcworkspace \
55 -workspace CFStreamTests.xcworkspace \
66 -workspace CFStreamTests.xcworkspace \
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/gpu/math/ |
| D | cholesky_trsm_solve_gpu_kernel.h | 53 bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in Launch() argument
59 LaunchNonSplitMatrix(inputs, workspace, outputs, stream_ptr); in Launch()
61 LaunchSplitMatrix(inputs, workspace, outputs, stream_ptr); in Launch()
128 …unchNonSplitMatrix(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in LaunchNonSplitMatrix() argument
132 auto d_array_addr = GetDeviceAddress<T *>(workspace, 0); in LaunchNonSplitMatrix()
133 auto d_identity_addr = GetDeviceAddress<T *>(workspace, 1); in LaunchNonSplitMatrix()
134 auto d_info_array_addr = GetDeviceAddress<int>(workspace, 2); in LaunchNonSplitMatrix()
162 … LaunchSplitMatrix(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, in LaunchSplitMatrix() argument
166 auto d_array_addr = GetDeviceAddress<T *>(workspace, 0); in LaunchSplitMatrix()
167 auto d_identity_addr = GetDeviceAddress<T *>(workspace, 1); in LaunchSplitMatrix()
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