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Searched refs:VLOG (Results 1 – 25 of 586) sorted by relevance

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/external/tensorflow/tensorflow/compiler/xla/client/
Dclient.cc50 VLOG(1) << "making transfer request"; in Transfer()
51 VLOG(3) << "TransferToClientRequest: {" << request.DebugString() << "}"; in Transfer()
53 VLOG(1) << "done with request"; in Transfer()
58 VLOG(3) << "TransferToClientResponse: {" << response.DebugString() << "}"; in Transfer()
77 VLOG(1) << "making transfer to server request"; in TransferToServer()
78 VLOG(3) << "TransferToServerRequest: {" << request.DebugString() << "}"; in TransferToServer()
80 VLOG(1) << "done with request"; in TransferToServer()
85 VLOG(3) << "TransferToServerResponse: {" << response.DebugString() << "}"; in TransferToServer()
106 VLOG(1) << "making transfer to infeed request"; in TransferToInfeed()
107 VLOG(3) << "TransferToInfeedRequest: {" << request.DebugString() << "}"; in TransferToInfeed()
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/external/tensorflow/tensorflow/compiler/xla/service/
Dwhile_loop_analysis.cc52 VLOG(2) << "GetGTEOperandIndex(" << instr->ToString() << ", " in GetGTEOperandIndex()
60 VLOG(2) << "instr does not have a gte operand."; in GetGTEOperandIndex()
72 VLOG(2) in GetGTEOperandIndex()
101 VLOG(2) << "Finding induction variable for loop " in GetLoopInductionVarTupleIdx()
116 VLOG(2) << "Induction variable not found in loop condition: " in GetLoopInductionVarTupleIdx()
131 VLOG(2) << "While body's root is not a tuple instruction: " in GetLoopInductionVarTupleIdx()
141 VLOG(2) in GetLoopInductionVarTupleIdx()
147 VLOG(2) << "Tuple index of induction variable does not match between loop " in GetLoopInductionVarTupleIdx()
158 VLOG(2) << "While init expected to be a tuple: " << while_init->ToString(); in GetLoopInductionVarTupleIdx()
162 VLOG(2) << "Induction variable's tuple index: " << *indvar_tuple_idx; in GetLoopInductionVarTupleIdx()
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Dreshape_mover.cc106 VLOG(5) << "Found first non-trivial reshape operand of " in FirstNonScalarAndNonTrivialReshapeOperand()
148 VLOG(5) << "Adding reshape to kConstant operand"; in UpdateOperand()
153 VLOG(5) << "Adding transpose to kConstant operand"; in UpdateOperand()
162 VLOG(5) << "Cloning kRng operand with new shape"; in UpdateOperand()
168 VLOG(5) << "Using existing operand of kReshape or kTranspose"; in UpdateOperand()
175 VLOG(5) << "Changing broadcast from " << operand->ToString() << " to " in UpdateOperand()
192 VLOG(3) << "** Sinking reshape or transpose: " in PerformSinkReshapeOrTranspose()
207 VLOG(3) << "Updating operand #" << i << ": " in PerformSinkReshapeOrTranspose()
241 VLOG(3) << "Creating new reshape for new elementwise op: " in PerformSinkReshapeOrTranspose()
266 VLOG(5) << "** Checking instruction: " in IsReshapeMoveCandidate()
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Dhlo_pass_pipeline.cc38 VLOG(1) << " Invariant checker " << invariant_checker->name(); in RunInvariantCheckers()
40 VLOG(1) << " Invariant checker done " << invariant_checker->name(); in RunInvariantCheckers()
42 VLOG(2) << "Failed invariant check:"; in RunInvariantCheckers()
62 VLOG(1) << " HLO pass " << pass_name; in RunPassesInternal()
86 VLOG(1) << "*All* passes disabled by --xla_disable_all_hlo_passes."; in GetEnabledPasses()
99 VLOG(1) << "Passes disabled by --xla_disable_hlo_passes: " in GetEnabledPasses()
104 VLOG(1) << "Passes enabled by --xla_enable_hlo_passes_only: " in GetEnabledPasses()
145 VLOG(1) << "Running HLO pass pipeline on module " << module->name() << ": " in Run()
155 VLOG(1) << "Running HLO pass pipeline on module group " in RunOnModuleGroup()
159 VLOG(1) << "Module group is empty. Nothing to do."; in RunOnModuleGroup()
Dhlo_sharding_metadata.cc54 VLOG(4) << " " << instruction->name() << " to " << sharding; in SetSingleSharding()
104 VLOG(2) << "Found passthrough domain link:"; in LocatePassThroughDomainLinks()
105 VLOG(2) << " " << user->ToString(); in LocatePassThroughDomainLinks()
106 VLOG(2) << " " << instruction->ToString(); in LocatePassThroughDomainLinks()
111 VLOG(2) << "Found passthrough domain link:"; in LocatePassThroughDomainLinks()
112 VLOG(2) << " <root>"; in LocatePassThroughDomainLinks()
113 VLOG(2) << " " << instruction->ToString(); in LocatePassThroughDomainLinks()
153 VLOG(4) << "Applying " << sharding << " sharding"; in ApplyDomainSingleSharding()
160 VLOG(4) << " " << instruction->name() << " already has sharding " in ApplyDomainSingleSharding()
333 VLOG(4) << " " << instruction->name() << " to sharding " in ApplyDomainShardingPass()
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Dmemory_space_assignment.cc284 VLOG(4) << "Keeping value " << interval.buffer->ToShortString() in IsIntervalAllowedInAlternateMemory()
300 VLOG(4) << "Keeping value " << interval.buffer->ToShortString() in IsIntervalAllowedInAlternateMemory()
313 VLOG(4) in IsIntervalAllowedInAlternateMemory()
326 VLOG(1) << "Assigning buffers to alternate memory. Max heap size = " in Finish()
343 VLOG(4) << "Interval " << interval.buffer->ToShortString() in Finish()
352 VLOG(3) << "Coloring " << position.ToString(); in Finish()
370 VLOG(4) << "Not allocating " << interval.buffer->ToShortString() in Finish()
397 VLOG(3) << "Adding an aliased allocation: (" in Finish()
419 VLOG(3) << "skip use " << use.ToString() in Finish()
474 VLOG(3) << "Allocation for " << value_and_sequence.value->ToShortString(); in Finish()
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Dhlo_ordering.cc173 VLOG(4) << "UseIsBeforeValueDefinition(use=" << use in UseIsBeforeValueDefinition()
176 VLOG(4) << " use instruction executes before value-defining instruction"; in UseIsBeforeValueDefinition()
188 VLOG(4) << " use is value def, and instruction can share use buffer"; in UseIsBeforeValueDefinition()
200 VLOG(4) << " use is while " << use.instruction->name() in UseIsBeforeValueDefinition()
208 VLOG(4) << " use is while " << use.instruction->name() in UseIsBeforeValueDefinition()
212 VLOG(4) << " use is while " << use.instruction->name() in UseIsBeforeValueDefinition()
228 VLOG(4) << " value is while " << value.defining_instruction()->name() in UseIsBeforeValueDefinition()
240 VLOG(4) << " use is call " << use.instruction->name() in UseIsBeforeValueDefinition()
252 VLOG(4) << " use is conditional " << use.instruction->name() in UseIsBeforeValueDefinition()
258 VLOG(4) << " use is conditional " << use << " and def is " in UseIsBeforeValueDefinition()
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Dhlo_domain_verifier.cc66 VLOG(4) << "Running HLO Domain Verifier"; in Run()
92 VLOG(4) << "Reach set:"; in VerifyDomain()
94 VLOG(4) << " " << instruction->name(); in VerifyDomain()
96 VLOG(4) << " Domains:"; in VerifyDomain()
99 VLOG(4) << " User side: " << instruction->name(); in VerifyDomain()
100 VLOG(4) << " " << meta.ToString(); in VerifyDomain()
111 VLOG(4) << " Operand side: " << instruction->name(); in VerifyDomain()
112 VLOG(4) << " " << meta.ToString(); in VerifyDomain()
Dmulti_output_fusion.cc57 VLOG(10) << "Looking at instruction: " << instruction->name(); in Run()
62 VLOG(10) << "Operand not profitable: " << operand->name(); in Run()
65 VLOG(10) << "Operand profitable: " << operand->name(); in Run()
79 VLOG(10) << "User: " << user->name(); in Run()
81 VLOG(10) << "User is not fusible, or is the instruction itself: " in Run()
87 VLOG(10) << "User is connected: " << user->name(); in Run()
92 VLOG(10) << "User ID for user: " << user->name() << " is " in Run()
97 VLOG(10) << "User not legal to fuse: " << user->name(); in Run()
101 VLOG(10) << "User added to candidate list: " << user->name(); in Run()
381 VLOG(1) << "Considering candidate profit_score=" << candidate.score in Perform()
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Dbuffer_assignment.cc237 VLOG(4) << "Adding the following buffer to allocation #" << index() in AddAssignment()
470 VLOG(3) << "Trying to find unique slice for " << instruction->name() << " [" in GetUniqueSlice()
475 VLOG(3) << "Examining value " << *value; in GetUniqueSlice()
477 VLOG(3) << "Has allocation"; in GetUniqueSlice()
489 VLOG(3) << "No allocation"; in GetUniqueSlice()
583 VLOG(3) << "HloBuffer lives out" << buffer.ToString(); in AddAssignment()
584 VLOG(3) << "Set maybe live out: " << allocation->ToString(); in AddAssignment()
597 VLOG(3) << "HloValue lives out: " << hlo_value.ToString(); in AddAssignment()
598 VLOG(3) << "Set maybe live out: " << allocation->ToString(); in AddAssignment()
606 VLOG(1) << "CombineTempAllocations()"; in CombineTempAllocations()
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Dstream_pool.cc32 VLOG(1) << stream->DebugStreamPointers() in BorrowStream()
35 VLOG(1) << stream->DebugStreamPointers() in BorrowStream()
46 VLOG(1) << stream->DebugStreamPointers() in BorrowStream()
57 VLOG(1) << stream->DebugStreamPointers() in ReturnStream()
65 VLOG(1) << stream->DebugStreamPointers() in ReturnStream()
/external/tensorflow/tensorflow/compiler/jit/
Dxla_activity_logging_listener.cc30 VLOG(3) << "Logging XlaAutoClusteringActivity disabled"; in Listen()
35 VLOG(2) << "Logging XlaAutoClusteringActivity"; in Listen()
36 VLOG(3) << auto_clustering_activity.DebugString(); in Listen()
39 VLOG(2) << "Not logging: logger not ready yet."; in Listen()
48 VLOG(3) << "Logging XlaJitCompilationActivity disabled"; in Listen()
53 VLOG(2) << "Logging XlaJitCompilationActivity"; in Listen()
54 VLOG(3) << jit_compilation_activity.DebugString(); in Listen()
57 VLOG(2) << "Not logging: logger not ready yet."; in Listen()
65 VLOG(3) << "Logging XlaJitCompilationActivity disabled"; in Listen()
70 VLOG(2) << "Logging XlaJitCompilationActivity"; in Listen()
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Dmark_for_compilation_pass.cc392 VLOG(3) << "Could not contract " << cluster_from->DebugString(*graph_) in MergeClusters()
604 VLOG(2) << "No compilable candidates"; in Initialize()
612 VLOG(2) << "Could not form cycle detection graph"; in Initialize()
736 VLOG(4) << "Running phase 0"; in RunEdgeContractionLoop()
759 VLOG(4) << "Running phase 1"; in RunEdgeContractionLoop()
815 VLOG(4) << "Running phase 2"; in RunEdgeContractionLoop()
824 VLOG(2) << "Checking idempotence"; in RunEdgeContractionLoop()
879 VLOG(3) << "Assigning node " << n->name() << " to cluster " << name; in CreateClusters()
1103 VLOG(2) << "XLA clustering will only consider the following TF operations: " in GetOrCreateWhitelist()
1133 VLOG(2) << "Starting fuel: infinity"; in FindCompilationCandidates()
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/
Dtree_reduction_rewriter.cc61 VLOG(3) << "Input: " << hlo->ToString(); in RewriteReduction()
66 VLOG(3) << "Input shape: " << input_shape.ToString(); in RewriteReduction()
73 VLOG(3) << "reduce_batch_dimension = " << reduce_batch_dimension; in RewriteReduction()
74 VLOG(3) << "batched atomic free: " << batched_atomic_free_bound; in RewriteReduction()
81 VLOG(3) << "reduced_input_dimension: " << reduced_input_dimension; in RewriteReduction()
86 VLOG(1) << "Splitting batched dimension reduce into a separate reduction"; in RewriteReduction()
95 VLOG(3) << "atomic_free_bound: " << atomic_free_bound; in RewriteReduction()
99 VLOG(3) << "Base case: dimensions fit"; in RewriteReduction()
104 VLOG(3) << "reduced_dim_size = " << reduced_dim_size; in RewriteReduction()
119 VLOG(3) << "Generated padded shape: " << padded_shape.ToString(); in RewriteReduction()
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Dfusion_merger.cc166 VLOG(1) << "FusionInstructionMerger EXIT" in Run()
185 VLOG(3) << "Not merging " << fusion->name() << ": Has no users."; in HandleFusion()
195 VLOG(3) << "Not merging " << fusion->name() << ": Is not loop fusion."; in HandleFusion()
207 VLOG(3) << "Not merging " << fusion->name() in HandleFusion()
225 VLOG(3) << "Not merging " << fusion->name() in HandleFusion()
240 VLOG(3) << "Not merging " << fusion->name() in HandleFusion()
256 VLOG(3) << "Not merging " << fusion->name() in HandleFusion()
268 VLOG(3) << "Not merging " << fusion->name() in HandleFusion()
282 VLOG(2) << "Merged fusion instruction: " << fusion->name() in HandleFusion()
297 VLOG(2) << "FusionMerger for module: " << module->name(); in Run()
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Dmulti_output_fusion.cc63 VLOG(2) << "Fusing instr1=" << instr1->name() << " instr2=" << instr2->name() in GetProfit()
124 VLOG(3) << "Looking at producer " << producer->name() in GetProducerConsumerMultiOutputFusionCandidates()
127 VLOG(3) << "Consumer " << consumer->name() in GetProducerConsumerMultiOutputFusionCandidates()
132 VLOG(3) << producer->name() << " and " << consumer->name() in GetProducerConsumerMultiOutputFusionCandidates()
152 VLOG(3) << producer->name() << " would introduce a cycle when fused."; in GetProducerConsumerMultiOutputFusionCandidates()
156 VLOG(3) << producer->name() << " and " << consumer->name() in GetProducerConsumerMultiOutputFusionCandidates()
181 VLOG(3) << producer->name() << " is a constant."; in DoProducerConsumerMultiOutputFusion()
192 VLOG(2) << "Fuse producer " << producer->name() << " into its consumer " in DoProducerConsumerMultiOutputFusion()
209 VLOG(2) << "Fuse producer " << producer->name() << " and its consumer " in DoProducerConsumerMultiOutputFusion()
/external/tensorflow/tensorflow/compiler/xla/service/cpu/
Dcpu_instruction_fusion.cc74 VLOG(2) << "Considering for fusion: operand " << operand_index << " of " in ShouldFuse()
80 VLOG(2) << "Fusion OK: Can create output fusion."; in ShouldFuse()
85 VLOG(2) in ShouldFuse()
91 VLOG(2) << "Producer is not fusible."; in ShouldFuse()
100 VLOG(2) << "Fusion is not profitable."; in ShouldFuse()
105 VLOG(2) << "Not fusing: !ShouldFuse(consumer)."; in ShouldFuse()
113 VLOG(2) << "Not fusing: insufficient non-constant nodes."; in ShouldFuse()
119 VLOG(2) << "Not fusing: producer is itself a fusion node."; in ShouldFuse()
160 VLOG(2) << "Fusing small matrix-vector product."; in ShouldFuse()
166 VLOG(2) << "Fusing small matrix-vector product."; in ShouldFuse()
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Dcpu_executable.cc74 VLOG(1) << "compute_function_ at address " in CpuExecutable()
88 VLOG(3) << "Allocating " << assignment_->Allocations().size() in CreateBufferTable()
94 VLOG(3) << allocation.ToString(); in CreateBufferTable()
103 VLOG(3) << "allocation #" << i << " is a parameter"; in CreateBufferTable()
108 VLOG(3) << "allocation #" << i << " is a constant"; in CreateBufferTable()
113 VLOG(3) << "buffer #" << i << " is thread-local"; in CreateBufferTable()
119 VLOG(3) << "buffer #" << i in CreateBufferTable()
126 VLOG(3) << "buffer #" << i << " allocated " << buffer_size << " bytes [" in CreateBufferTable()
139 VLOG(3) << "result index: " << result_slice.index(); in CreateBufferTable()
190 VLOG(3) << "Executing compute function:"; in ExecuteComputeFunction()
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/external/tensorflow/tensorflow/core/grappler/optimizers/
Dscoped_allocator_optimizer.cc95 VLOG(1) << "CheckTypesAndGetShapes"; in CheckTypesAndGetShapes()
102 VLOG(2) << "op " << n->name() << " has type " << dtype << " shapes.size() " in CheckTypesAndGetShapes()
128 VLOG(2) << "Adding shape " << props.shape().DebugString(); in CheckTypesAndGetShapes()
168 VLOG(2) << " consider edge " << (*inputs)[edge_index]; in RemoveEdge()
243 VLOG(1) << "Rewrite input " << edge_name << " op " << op->name() in MaybeRewriteInput()
256 VLOG(1) << "Getinputs"; in GetInputs()
261 VLOG(2) << "for node " << n->name(); in GetInputs()
273 VLOG(2) << "inode " << inode->DebugString() << " output_index " in GetInputs()
284 VLOG(2) << "inode after rewrite " << inode->DebugString() in GetInputs()
310 VLOG(2) << "GetDataInputs for node " << op->name(); in GetDataInputs()
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/external/tensorflow/tensorflow/core/ops/
Darray_grad.cc87 VLOG(1) << "IdentityGrad " << DebugString(*g); in IdentityGrad()
113 VLOG(1) << "PackGrad " << DebugString(*g); in PackGrad()
137 VLOG(1) << "UnpackGrad " << DebugString(*g); in UnpackGrad()
212 VLOG(1) << "ConcatGrad " << DebugString(*g); in ConcatGradHelper()
242 VLOG(1) << "SplitGrad " << DebugString(*g); in SplitGrad()
263 VLOG(1) << "SplitVGrad " << DebugString(*g); in SplitVGrad()
290 VLOG(1) << "ArrayToListGrad " << DebugString(*g); in ArrayToListGrad()
310 VLOG(1) << "ListToArrayGrad " << DebugString(*g); in ListToArrayGrad()
333 VLOG(1) << "FillGrad " << DebugString(*g); in FillGrad()
352 VLOG(1) << "TransposeGrad " << DebugString(*g); in TransposeGrad()
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/external/tensorflow/tensorflow/core/common_runtime/
Dscoped_allocator.cc44 VLOG(1) << "~ScopedAllocator " << this << " tbuf_ " << tbuf_ << " data " in ~ScopedAllocator()
52 VLOG(1) << "expected_call_count_ = " << expected_call_count_ in ~ScopedAllocator()
59 VLOG(1) << "ScopedAllocator index " << id_ << " AllocateRaw " in AllocateRaw()
101 VLOG(2) << "AllocateRaw returning " << ptr << " bytes_requested " in AllocateRaw()
112 VLOG(2) << "AllocateRaw requested " << num_bytes in AllocateRaw()
152 VLOG(1) << "ScopedAllocator index " << id_ << " VerifyPointer for p=" << p in VerifyPointer()
168 VLOG(1) << "new ScopedAllocatorInstance " << this << " on SA " << sa in ScopedAllocatorInstance()
178 VLOG(2) << "ScopedAllocatorInstance::DropFromTable " << this in DropFromTable()
196 VLOG(2) << "ScopedAllocatorInstance::AllocateRaw " << this in AllocateRaw()
203 VLOG(2) << "ScopedAllocatorInstance::AllocateRaw " << this in AllocateRaw()
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/external/tensorflow/tensorflow/compiler/tf2xla/lib/
Dscatter.cc188 VLOG(3) << "Scatter op:"; in XlaScatter()
189 VLOG(3) << " Input: " << xla::ShapeUtil::HumanString(buffer_shape); in XlaScatter()
190 VLOG(3) << " Indices: " << xla::ShapeUtil::HumanString(indices_shape); in XlaScatter()
191 VLOG(3) << " Updates: " << xla::ShapeUtil::HumanString(updates_shape); in XlaScatter()
192 VLOG(3) << " Scatter Dimension Numbers: "; in XlaScatter()
193 VLOG(3) << " index_vector_dim: " << dim_numbers.index_vector_dim(); in XlaScatter()
194 VLOG(3) << " update_window_dims: [" in XlaScatter()
196 VLOG(3) << " inserted_window_dims: [" in XlaScatter()
198 VLOG(3) << " scatter_dims_to_operand_dims: [" in XlaScatter()
/external/libbrillo/brillo/http/
Dhttp_connection_curl.cc27 VLOG(3) << "== Info: " << msg; in curl_trace()
30 VLOG(3) << "=> Send headers:\n" << msg; in curl_trace()
33 VLOG(3) << "=> Send data:\n" << msg; in curl_trace()
36 VLOG(3) << "=> Send SSL data" << msg; in curl_trace()
39 VLOG(3) << "<= Recv header: " << msg; in curl_trace()
42 VLOG(3) << "<= Recv data:\n" << msg; in curl_trace()
45 VLOG(3) << "<= Recv SSL data" << msg; in curl_trace()
64 VLOG(2) << "curl::Connection created: " << method_; in Connection()
71 VLOG(2) << "curl::Connection destroyed"; in ~Connection()
129 VLOG(2) << "Request header: " << header; in PrepareRequest()
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/external/tensorflow/tensorflow/core/kernels/
Dmkl_input_conversion_op.cc93 VLOG(1) << "MklInputConversionOp: Input shapes are: " in Compute()
100 VLOG(1) << "MklInputConversionOp: No conversion needed, " in Compute()
125 VLOG(1) << "MklInputConversionOp: No conversion needed, " in Compute()
132 VLOG(1) << "MklInputConversionOp: Shape is same, but format is " in Compute()
186 VLOG(1) << "MklInputConversionOp: Broadcast needed, " in Compute()
204 VLOG(1) << "MklInputConversionOp: Inputs in different formats (MKL/TF)"; in Compute()
233 VLOG(1) << "MklInputConversionOp: No broadcast needed."; in Compute()
234 VLOG(1) << "MklInputConversionOp: Converting input " << tf_tensor_index in Compute()
283 VLOG(1) << "MklInputConversionOp: Broadcast needed."; in Compute()
284 VLOG(1) << "MklInputConversionOp: Converting input " << mkl_tensor_index in Compute()
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/external/tensorflow/tensorflow/compiler/tf2tensorrt/convert/
Dconvert_graph.cc97 VLOG(1) << "Found TF GPU " << tf_gpu_id.value() << " at cuda device " in GetFirstValidDeviceId()
137 VLOG(2) << "Node " << node->name() in GetEngineInfo()
149 VLOG(1) << "Failed to parse " in GetEngineInfo()
153 VLOG(1) << "Node " << node->name() in GetEngineInfo()
194 VLOG(1) << "Adding const node " << input_node->name(); in GetEngineInfo()
200 VLOG(1) << "Input edge = " << s; in GetEngineInfo()
232 VLOG(1) << "Output edge = " << s; in GetEngineInfo()
254 VLOG(1) << "Converted TensorRT candidate segment '" << info->engine_name in GetEngineInfo()
274 VLOG(1) << "No device is assigned to the segment. A device will be " in GetEngineInfo()
338 VLOG(1) << "Processing " << info.engine_name; in CreateTRTNode()
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