| /external/libxcam/modules/ocl/ |
| D | cl_image_scaler.cpp | 58 const VideoBufferInfo &output_info = output->get_video_info (); in prepare_arguments() local
63 uint32_t channel_bits = XCAM_ALIGN_UP (output_info.color_bits, 8); in prepare_arguments()
71 output_imageDesc.width = output_info.width / 2; in prepare_arguments()
72 output_imageDesc.height = output_info.height / 2; in prepare_arguments()
73 output_imageDesc.row_pitch = output_info.strides[1]; in prepare_arguments()
75 image_out = convert_to_climage (context, output, output_imageDesc, output_info.offsets[1]); in prepare_arguments()
76 output_width = output_info.width / 2; in prepare_arguments()
77 output_height = output_info.height / 2; in prepare_arguments()
80 output_imageDesc.width = output_info.width; in prepare_arguments()
81 output_imageDesc.height = output_info.height; in prepare_arguments()
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| D | cl_image_360_stitch.cpp | 102 const VideoBufferInfo &output_info = output->get_video_info (); in get_output_info() local
104 out_width = output_info.width / 8; in get_output_info()
105 out_height = _is_uv ? output_info.height / 2 : output_info.height; in get_output_info()
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| /external/pdfium/testing/tools/ |
| D | safetynet_job.py | 129 output_info = {
133 self._WriteRawJson(output_info)
149 output_info = json.loads(json_output)
154 output_info.setdefault('metadata', {}).update(run_metadata)
155 self._WriteRawJson(output_info)
157 PrintConclusionsDictHumanReadable(output_info,
164 if output_info['summary']['improvement']:
168 if output_info['summary']['regression']:
179 def _WriteRawJson(self, output_info): argument
182 json.dump(output_info, f)
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| /external/v8/src/interpreter/ |
| D | bytecode-register-optimizer.cc | 313 RegisterInfo* input_info, RegisterInfo* output_info) { in OutputRegisterTransfer() argument
315 Register output = output_info->register_value(); in OutputRegisterTransfer()
328 output_info->set_materialized(true); in OutputRegisterTransfer()
380 RegisterInfo* output_info) { in RegisterTransfer() argument
382 RegisterIsObservable(output_info->register_value()); in RegisterTransfer()
384 output_info->IsInSameEquivalenceSet(input_info); in RegisterTransfer()
386 (!output_is_observable || output_info->materialized())) { in RegisterTransfer()
392 if (output_info->materialized()) { in RegisterTransfer()
393 CreateMaterializedEquivalent(output_info); in RegisterTransfer()
398 AddToEquivalenceSet(input_info, output_info); in RegisterTransfer()
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| D | bytecode-register-optimizer.h | 52 RegisterInfo* output_info = GetRegisterInfo(output); in NON_EXPORTED_BASE() local
53 RegisterTransfer(accumulator_info_, output_info); in NON_EXPORTED_BASE()
57 RegisterInfo* output_info = GetRegisterInfo(output); in NON_EXPORTED_BASE() local
58 RegisterTransfer(input_info, output_info); in NON_EXPORTED_BASE()
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| /external/tensorflow/tensorflow/core/grappler/costs/ |
| D | analytical_cost_estimator.cc | 93 auto output_info = node->add_output_info(); in AddCostNode() local
94 output_info->set_alias_input_port(-1); in AddCostNode()
95 output_info->set_dtype(output.dtype()); in AddCostNode()
96 *output_info->mutable_shape() = output.shape(); in AddCostNode()
102 output_info->set_size(size); in AddCostNode()
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| D | utils.cc | 187 input_cost->output_info(output_index); in FindInputFeatures()
326 for (const auto& output_info : cost_node->output_info()) { in CostGraphToOpPerformanceData() local
327 perf->mutable_op_memory()->add_output_memory(output_info.size()); in CostGraphToOpPerformanceData()
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| D | graph_properties.cc | 2288 for (const auto& out : node.output_info()) { in InferFromCostGraph()
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| /external/tensorflow/tensorflow/core/grappler/clusters/ |
| D | virtual_cluster_test.cc | 83 EXPECT_EQ(40, node.output_info(0).size()); in TEST_F()
84 const TensorShapeProto& shape = node.output_info(0).shape(); in TEST_F()
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| D | single_machine_test.cc | 90 EXPECT_LE(8, node.output_info(0).size()); in TEST_F()
91 const TensorShapeProto& shape = node.output_info(0).shape(); in TEST_F()
133 const TensorShapeProto& shape = node.output_info(0).shape(); in TEST_F()
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| /external/tensorflow/tensorflow/core/graph/ |
| D | costmodel.cc | 510 CostGraphDef::Node::OutputInfo* output_info = cnode->add_output_info(); in AddToCostGraphDef() local
520 output_info->set_alias_input_port(alias_to_input); in AddToCostGraphDef()
521 output_info->set_dtype(MaxMemoryType(n, i)); in AddToCostGraphDef()
522 *output_info->mutable_shape() = MaxMemoryShape(n, i); in AddToCostGraphDef()
524 output_info->set_size(0); in AddToCostGraphDef()
526 output_info->set_size(MaxMemorySize(n, i).value()); in AddToCostGraphDef()
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| D | direct_session_with_tracking_alloc_test.cc | 306 EXPECT_LE(8, node.output_info(0).size()); in TEST()
307 const TensorShapeProto& shape = node.output_info(0).shape(); in TEST()
311 const DataType& dtype = node.output_info(0).dtype(); in TEST()
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| /external/ImageMagick/MagickCore/ |
| D | opencl.c | 1674 *output_info, in EnqueueOpenCLKernel() local
1691 output_info=(CacheInfo *) NULL; in EnqueueOpenCLKernel()
1697 output_info=(CacheInfo *) output_image->cache; in EnqueueOpenCLKernel()
1698 assert(output_info != (CacheInfo *) NULL); in EnqueueOpenCLKernel()
1699 assert(output_info->opencl != (MagickCLCacheInfo) NULL); in EnqueueOpenCLKernel()
1700 events=CopyOpenCLEvents(input_info->opencl,output_info->opencl, in EnqueueOpenCLKernel()
1726 if (output_info != (CacheInfo *) NULL) in EnqueueOpenCLKernel()
1727 (void) RegisterCacheEvent(output_info->opencl,event); in EnqueueOpenCLKernel()
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| /external/tensorflow/tensorflow/core/framework/ |
| D | cost_graph.proto | 43 repeated OutputInfo output_info = 5; field
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| /external/tensorflow/tensorflow/python/saved_model/ |
| D | signature_def_utils_test.py | 53 output_info = {
57 return signature_def_utils_impl.build_signature_def(input_info, output_info,
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| /external/harfbuzz_ng/src/ |
| D | hb-ot-shape-complex-myanmar.cc | 341 buffer->output_info (ginfo); in insert_dotted_circles()
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| D | hb-ot-shape-complex-khmer.cc | 415 buffer->output_info (ginfo); in insert_dotted_circles()
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| D | hb-buffer.hh | 241 void output_info (const hb_glyph_info_t &glyph_info) in output_info() function
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| D | hb-ot-shape-complex-use.cc | 568 buffer->output_info (ginfo); in insert_dotted_circles()
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| D | hb-ot-shape.cc | 455 buffer->output_info (info); in hb_insert_dotted_circle()
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| D | hb-ot-shape-complex-indic.cc | 1016 buffer->output_info (ginfo); in insert_dotted_circles()
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| /external/tensorflow/tensorflow/compiler/tf2tensorrt/convert/ |
| D | convert_nodes_test.cc | 1119 std::vector<Converter::EngineOutputInfo> output_info; in BuildAndRun() local
1121 output_info.push_back( in BuildAndRun()
1124 TF_EXPECT_OK(converter_->RenameAndMarkOutputTensors(output_info)); in BuildAndRun()
1173 const auto& output_info = output_infos[i]; in BuildAndRun() local
1175 buffers[output_info.index], output_info.size, in BuildAndRun()
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| /external/mesa3d/src/gallium/state_trackers/nine/ |
| D | nine_shader.c | 515 struct nine_vs_output_info output_info[16]; member
547 tx->output_info[tx->num_outputs].output_semantic = Usage; in nine_record_outputs()
548 tx->output_info[tx->num_outputs].output_semantic_index = UsageIndex; in nine_record_outputs()
549 tx->output_info[tx->num_outputs].mask = mask; in nine_record_outputs()
550 tx->output_info[tx->num_outputs].output_index = output_index; in nine_record_outputs()
3726 tx->output_info, in nine_translate_shader()
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| /external/tensorflow/tensorflow/python/eager/ |
| D | pywrap_tfe_src.cc | 1581 std::vector<PyTapeTensor> output_info; local
1586 output_info.reserve(len);
1588 output_info.push_back(
1614 tape->tape->RecordOperation(op_type_str, output_info, input_ids,
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| /external/v8/tools/ |
| D | grokdump.py | 2603 self.formatter(query_components).output_info(out_buffer)
2778 def output_info(self, f): member in InspectionWebFormatter
|