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_ZNKSt3__110__function6__funcINS_10less_equalIfEENS_9allocatorIS3_EEFbffEE7__cloneEv _ZNKSt3__110__function6__funcINS_10less_equalIhEENS_9allocatorIS3_EEFbhhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_10less_equalIhEENS_9allocatorIS3_EEFbhhEE7__cloneEv _ZNKSt3__110__function6__funcINS_10less_equalIiEENS_9allocatorIS3_EEFbiiEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_10less_equalIiEENS_9allocatorIS3_EEFbiiEE7__cloneEv _ZNKSt3__110__function6__funcINS_12not_equal_toIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_12not_equal_toIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEv _ZNKSt3__110__function6__funcINS_12not_equal_toIfEENS_9allocatorIS3_EEFbffEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_12not_equal_toIfEENS_9allocatorIS3_EEFbffEE7__cloneEv _ZNKSt3__110__function6__funcINS_12not_equal_toIhEENS_9allocatorIS3_EEFbhhEE7__cloneEPNS0_6__baseIS6_EE 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_ZNKSt3__110__function6__funcINS_13greater_equalIiEENS_9allocatorIS3_EEFbiiEE7__cloneEv _ZNKSt3__110__function6__funcINS_4lessIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_4lessIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEv _ZNKSt3__110__function6__funcINS_4lessIfEENS_9allocatorIS3_EEFbffEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_4lessIfEENS_9allocatorIS3_EEFbffEE7__cloneEv _ZNKSt3__110__function6__funcINS_4lessIhEENS_9allocatorIS3_EEFbhhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_4lessIhEENS_9allocatorIS3_EEFbhhEE7__cloneEv _ZNKSt3__110__function6__funcINS_4lessIiEENS_9allocatorIS3_EEFbiiEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_4lessIiEENS_9allocatorIS3_EEFbiiEE7__cloneEv _ZNKSt3__110__function6__funcINS_7greaterIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_7greaterIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEv _ZNKSt3__110__function6__funcINS_7greaterIfEENS_9allocatorIS3_EEFbffEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_7greaterIfEENS_9allocatorIS3_EEFbffEE7__cloneEv _ZNKSt3__110__function6__funcINS_7greaterIhEENS_9allocatorIS3_EEFbhhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_7greaterIhEENS_9allocatorIS3_EEFbhhEE7__cloneEv _ZNKSt3__110__function6__funcINS_7greaterIiEENS_9allocatorIS3_EEFbiiEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_7greaterIiEENS_9allocatorIS3_EEFbiiEE7__cloneEv _ZNKSt3__110__function6__funcINS_8equal_toIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_8equal_toIDhEENS_9allocatorIS3_EEFbDhDhEE7__cloneEv _ZNKSt3__110__function6__funcINS_8equal_toIfEENS_9allocatorIS3_EEFbffEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_8equal_toIfEENS_9allocatorIS3_EEFbffEE7__cloneEv _ZNKSt3__110__function6__funcINS_8equal_toIhEENS_9allocatorIS3_EEFbhhEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_8equal_toIhEENS_9allocatorIS3_EEFbhhEE7__cloneEv _ZNKSt3__110__function6__funcINS_8equal_toIiEENS_9allocatorIS3_EEFbiiEE7__cloneEPNS0_6__baseIS6_EE _ZNKSt3__110__function6__funcINS_8equal_toIiEENS_9allocatorIS3_EEFbiiEE7__cloneEv _ZNSt3__110__function6__funcINS_10less_equalIDhEENS_9allocatorIS3_EEFbDhDhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_10less_equalIDhEENS_9allocatorIS3_EEFbDhDhEE7destroyEv _ZNSt3__110__function6__funcINS_10less_equalIDhEENS_9allocatorIS3_EEFbDhDhEEclEODhS8_ _ZNSt3__110__function6__funcINS_10less_equalIfEENS_9allocatorIS3_EEFbffEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_10less_equalIfEENS_9allocatorIS3_EEFbffEE7destroyEv _ZNSt3__110__function6__funcINS_10less_equalIfEENS_9allocatorIS3_EEFbffEEclEOfS8_ _ZNSt3__110__function6__funcINS_10less_equalIhEENS_9allocatorIS3_EEFbhhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_10less_equalIhEENS_9allocatorIS3_EEFbhhEE7destroyEv _ZNSt3__110__function6__funcINS_10less_equalIhEENS_9allocatorIS3_EEFbhhEEclEOhS8_ _ZNSt3__110__function6__funcINS_10less_equalIiEENS_9allocatorIS3_EEFbiiEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_10less_equalIiEENS_9allocatorIS3_EEFbiiEE7destroyEv _ZNSt3__110__function6__funcINS_10less_equalIiEENS_9allocatorIS3_EEFbiiEEclEOiS8_ _ZNSt3__110__function6__funcINS_12not_equal_toIDhEENS_9allocatorIS3_EEFbDhDhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_12not_equal_toIDhEENS_9allocatorIS3_EEFbDhDhEE7destroyEv _ZNSt3__110__function6__funcINS_12not_equal_toIDhEENS_9allocatorIS3_EEFbDhDhEEclEODhS8_ _ZNSt3__110__function6__funcINS_12not_equal_toIfEENS_9allocatorIS3_EEFbffEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_12not_equal_toIfEENS_9allocatorIS3_EEFbffEE7destroyEv _ZNSt3__110__function6__funcINS_12not_equal_toIfEENS_9allocatorIS3_EEFbffEEclEOfS8_ _ZNSt3__110__function6__funcINS_12not_equal_toIhEENS_9allocatorIS3_EEFbhhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_12not_equal_toIhEENS_9allocatorIS3_EEFbhhEE7destroyEv _ZNSt3__110__function6__funcINS_12not_equal_toIhEENS_9allocatorIS3_EEFbhhEEclEOhS8_ _ZNSt3__110__function6__funcINS_12not_equal_toIiEENS_9allocatorIS3_EEFbiiEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_12not_equal_toIiEENS_9allocatorIS3_EEFbiiEE7destroyEv _ZNSt3__110__function6__funcINS_12not_equal_toIiEENS_9allocatorIS3_EEFbiiEEclEOiS8_ _ZNSt3__110__function6__funcINS_13greater_equalIDhEENS_9allocatorIS3_EEFbDhDhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_13greater_equalIDhEENS_9allocatorIS3_EEFbDhDhEE7destroyEv _ZNSt3__110__function6__funcINS_13greater_equalIDhEENS_9allocatorIS3_EEFbDhDhEEclEODhS8_ _ZNSt3__110__function6__funcINS_13greater_equalIfEENS_9allocatorIS3_EEFbffEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_13greater_equalIfEENS_9allocatorIS3_EEFbffEE7destroyEv _ZNSt3__110__function6__funcINS_13greater_equalIfEENS_9allocatorIS3_EEFbffEEclEOfS8_ _ZNSt3__110__function6__funcINS_13greater_equalIhEENS_9allocatorIS3_EEFbhhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_13greater_equalIhEENS_9allocatorIS3_EEFbhhEE7destroyEv _ZNSt3__110__function6__funcINS_13greater_equalIhEENS_9allocatorIS3_EEFbhhEEclEOhS8_ _ZNSt3__110__function6__funcINS_13greater_equalIiEENS_9allocatorIS3_EEFbiiEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_13greater_equalIiEENS_9allocatorIS3_EEFbiiEE7destroyEv _ZNSt3__110__function6__funcINS_13greater_equalIiEENS_9allocatorIS3_EEFbiiEEclEOiS8_ _ZNSt3__110__function6__funcINS_4lessIDhEENS_9allocatorIS3_EEFbDhDhEE18destroy_deallocateEv _ZNSt3__110__function6__funcINS_4lessIDhEENS_9allocatorIS3_EEFbDhDhEE7destroyEv _ZNSt3__110__function6__funcINS_4lessIDhEENS_9allocatorIS3_EEFbDhDhEEclEODhS8_ 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ERR_error_string_n ERR_free_strings ERR_func_error_string ERR_get_error ERR_get_error_line ERR_get_error_line_data ERR_get_next_error_library ERR_lib_error_string ERR_load_BIO_strings ERR_load_ERR_strings ERR_load_RAND_strings ERR_load_crypto_strings ERR_peek_error ERR_peek_error_line ERR_peek_error_line_data ERR_peek_last_error ERR_peek_last_error_line ERR_peek_last_error_line_data ERR_pop_to_mark ERR_print_errors_cb ERR_print_errors_fp ERR_put_error ERR_reason_error_string ERR_remove_state ERR_remove_thread_state ERR_restore_state ERR_save_state ERR_set_mark CRYPTO_cleanup_all_ex_data CRYPTO_free_ex_data CRYPTO_get_ex_data CRYPTO_get_ex_new_index CRYPTO_new_ex_data CRYPTO_set_ex_data BIO_snprintf BIO_vsnprintf CRYPTO_memcmp OPENSSL_cleanse OPENSSL_clear_free OPENSSL_free OPENSSL_hash32 OPENSSL_malloc OPENSSL_memdup OPENSSL_realloc OPENSSL_strcasecmp OPENSSL_strdup OPENSSL_strlcat OPENSSL_strlcpy OPENSSL_strncasecmp OPENSSL_strndup OPENSSL_strnlen OPENSSL_tolower RAND_enable_fork_unsafe_buffering CRYPTO_refcount_dec_and_test_zero CRYPTO_refcount_inc sk_deep_copy sk_delete sk_delete_ptr sk_dup sk_find sk_free sk_insert sk_is_sorted sk_new sk_new_null sk_num sk_pop sk_pop_free sk_pop_free_ex sk_push sk_set sk_set_cmp_func sk_shift sk_sort sk_value sk_zero CRYPTO_MUTEX_cleanup CRYPTO_MUTEX_init CRYPTO_MUTEX_lock_read CRYPTO_MUTEX_lock_write CRYPTO_MUTEX_unlock_read CRYPTO_MUTEX_unlock_write CRYPTO_STATIC_MUTEX_lock_read CRYPTO_STATIC_MUTEX_lock_write CRYPTO_STATIC_MUTEX_unlock_read CRYPTO_STATIC_MUTEX_unlock_write CRYPTO_get_thread_local CRYPTO_once CRYPTO_set_thread_local AES_cbc_encrypt AES_cfb128_encrypt AES_ctr128_encrypt AES_decrypt AES_ecb_encrypt AES_encrypt AES_ofb128_encrypt AES_set_decrypt_key AES_set_encrypt_key AES_unwrap_key AES_unwrap_key_padded AES_wrap_key AES_wrap_key_padded BN_CTX_end BN_CTX_free BN_CTX_get BN_CTX_new BN_CTX_start BN_GENCB_call BN_GENCB_set BN_MONT_CTX_copy BN_MONT_CTX_free BN_MONT_CTX_new 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Check failed: padding != nullptr ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed an unfinished compilation ANeuralNetworksBurst_create passed an invalid compilation ANeuralNetworksExecution_setReusable called after the execution has started. from.size() : Invalid newType < at least one output shape is unexpectedly marked !isSufficient packages/modules/NeuralNetworks/common/include/nnapi/TypeUtils.h , initialLength = (initialLength= , sizeof(bool8)= from already defined by step redefines temporary operand lifetime Before burstController->execute() IPreparedModel::executeFenced() error: debug.nn.partition data cache handles, got Check failed: model != nullptr Failed to map BLOB mode AHWB: Prepared models [ ) and/or length ( ANeuralNetworksModel_setOperandSymmPerChannelQuantParams outputCount ANeuralNetworks_getDevice passed a nullptr SL_ANeuralNetworksDevice_forEachOperandPerformanceInfo passed a nullptr ashmem_create_region CPU FLOAT32 SUBGRAPH_INPUT ARGMIN ErrorStatus{ FusedActivationFunc{ , .outputIndexes= MemoryDomainToken= UNKNOWN HAL version , .prot= memory.handle.get() != nullptr std::holds_alternative<void*>(location.pointer) channelQuant.scales[i] , expected with an invalid zeroPoint CONSTANT_COPY with a non-null pointer , max Unexpected poolIndex packages/modules/NeuralNetworks/common/operations/Activation.cpp Unsupported operation type 3 getNumberOfDimensions(bwHiddenState) effectiveFilterWidth inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 context->getInputValue<_Float16>(kScaleWScalar) > 0 batchIndex heatmapMaxKeypointFloat32( heatmap_float32.data(), heatmapShape, boxes_float32.data(), boxesShape, layout, outputScore_float32.data(), outputScoreShape, outputKeypoint_float32.data(), outputKeypointShape, 1e-3f, 1e-3f) context->getNumInputs() == kNumInputs || context->getNumInputs() == kNumInputs - 1 getNumberOfDimensions(inputToOutputShape) getNumberOfDimensions(inputToForgetShape) getSizeOfDimension(recurrentToInputShape, 1) Input layer norm weights tensor is present when CIFG is used numInputs >= kNumInputs && numInputs <= kNumInputs + kNumOptionalInputs heightSamplingRatio transposeConvNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, biasData, biasShape, param, output.getNhwcBuffer(), output.getNhwcShape()) context->setOutputShape(kOutputStateOutTensor, outputStateOutTensor) input operand "] packages/modules/NeuralNetworks/common/IndexedShapeWrapper.cpp validateConditionOperand(operands[inputs[op::kCondBoolOperand]]) beforePadding >= 0 && afterPadding >= 0 SizeOfDimension(fw_aux_input_to_cell_weights_, 0) NumInputsWithValues(operation, operands) == 3 IsNullInput(input_gate_bias) SizeOfDimension(cell_bias, 0) NumDimensions(input) checkWeightsShape(recurrentToCellWeights, outputSize) NumDimensions(weights) , request.pools.size()= packages/modules/NeuralNetworks/driver/sample/CanonicalBurst.cpp external/boringssl/src/crypto/fipsmodule/cipher/cipher.c Failed to create P-256 group. DRBG Clear KAT <unknown> system library ' in ANDROID_LOG_TAGS ( ro.build.version.codename ANeuralNetworksMemoryDesc_addInputRole passed an invalid compilation ANeuralNetworksMemoryDesc_addOutputRole passed an invalid output index ANeuralNetworksExecution_getOutputOperandRank bad index )::declareModelOutputIsDownstreamInput( ExecutionPlan::CompoundBody::finish -- finishStepModel failed >= sizeof(bool8) readConditionValue: step->outerOutputOperands.size() WHILE loop timed out after Check failed: mSourceOperandToOutputIndex.find(sourceOperandIndex) != mSourceOperandToOutputIndex.end() DriverDevice::create called with nullptr IExecution::computeFenced() error: Check failed: driverDevice != nullptr Memory offset + length <= kSize can't modify an invalid model Extensions are not supported for this process. with inputs { NeuralNetworks ANeuralNetworksExecution_burstCompute passed a nullptr ANeuralNetworksCompilation_create passed a nullptr ANeuralNetworksExecution_setTimeout passed a nullptr ANeuralNetworksModel_setOperandExtensionData passed a nullptr ANeuralNetworksEvent_getSyncFenceFd unable to get valid sync_fence fd vs DeviceStatus{ OEM MUL REDUCE_MIN OUTPUT_INSUFFICIENT_SIZE Capabilities{.relaxedFloat32toFloat16PerformanceScalar= <no duration> Invalid MeasureTiming operandCount (operand !isNullptr !type.dimensions.empty() inputIndexes.size() == 3 && outputIndexes.size() == 2 filterType != OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || std::get<Operand::SymmPerChannelQuantParams>( operands[inputIndexes[1]].extraParams) .channelDim == 0 b.zeroPoint Tensor has lifetime of for operand of lifetime OperationResolver getNumberOfDimensions(bwWeights) getSizeOfDimension(input, 1) reference(Lhs: %d cells %dx%d %s, Rhs: %d cells %dx%d %s) outputType == OperandType::TENSOR_FLOAT16 || outputType == OperandType::TENSOR_FLOAT32 bias_len packages/modules/NeuralNetworks/common/operations/Gather.cpp context->setOutputShape(kOutputTensor, outputShape) getNumberOfDimensions(anchorsShape) context->getInputValue<float>(kIoUThresholdScalar) maxNumDetections packages/modules/NeuralNetworks/common/operations/LogicalAndOr.cpp getSizeOfDimension(recurrentToForgetShape, 1) QuantizeMultiplier(inputLayerNormShape.scale, &inputLayerNormScaleA, &inputLayerNormScaleB) batchId roiPoolingNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, output.getNhwcBuffer(), output.getNhwcShape()) getSizeOfDimension(sizeShape, 0) sliceBegin + sliceSize packages/modules/NeuralNetworks/common/operations/Softmax.cpp !context->isOmittedOutput(kStateOutputTensor) Cannot read IF condition operand value channels % (blockSize * blockSize) == 0 axisShape.type == OperandType::TENSOR_INT32 sizeOfAxisToSplit % numOutputs == 0 (1 << 27) !IsNullInput(GetInput(operation, operands, requiredInput)) SizeOfDimension(fw_aux_input_to_input_weights_, 0) NumDimensions(bw_aux_input_to_cell_weights_) SizeOfDimension(input_to_input_weights, 1) SizeOfDimension(recurrent_to_cell_weights, 0) NumDimensions(cell_to_forget_weights) SizeOfDimension(forget_gate_bias, 0) SizeOfDimension(weights, 1) rankOperand.length >= sizeof(int) ManagedBuffer::validateCopyFrom -- incompatible dimensions ( [NN_LD_PE]sample::PreparedModel::createReusableExecution Out of memory failed to set FD_CLOEXEC on urandom fd Calculated: malloc failure SSL routines User defined functions built on: n/a CompilationBuilder::forTest_setPartitioning can't modify after compilation finished packages/modules/NeuralNetworks/runtime/ExecutionBuilder.cpp ANeuralNetworksExecution_setInput bad index startComputeWithDependencies , mInputIndexes.size()= outputs as step model inputs ExecutionPlan::SimpleBody::finish: simulating failure, ResultCode step->bodyInputOperands.size() Unable to get outerBuffer for operand Unable to get innerBuffer for operand can't do operation as allocator. ANeuralNetworksMemory_createFromDesc -- passed an unfinished descriptor MemoryDescriptor start kCompilationRoles.count({compilation, ioType, index}) > 0 length ANeuralNetworksModel_addOperation passed a nullptr ANeuralNetworksExecution_create passed a nullptr ANeuralNetworksExecution_startComputeWithDependencies falling back SL_ANeuralNetworksDevice_getNumberOfCacheFilesNeeded passed a nullptr Too many extensions in use TENSOR_QUANT8_SYMM TENSOR_OEM_BYTE GREATER_EQUAL SQRT RANK DEAD_OBJECT , .dimensions= , .extraParams= , .pools= ANDROID_P , .name= / !inputRoles.empty() || !outputRoles.empty() operands.front().scale type.dimensions[i] inputs Tensor dimensions overflow with a non-zero zeroPoint Operations getLinkingMode(context, &linkingMode) getNumberOfDimensions(fwHiddenState) getSizeOfDimension(fwRecurrentWeights, 0) getSizeOfDimension(fwHiddenState, 1) numInputs getNumberOfDimensions(bias) Error converting a non-4-D tensor to NCHW layout Provided only one dilation factor value, two values are required for operation Unsupported output operand type for DEQUANTIZE op: getSizeOfDimension(bboxDeltasShape, useNchw ? 1 : 3) getNumberOfDimensions(boxesShape) inputType == OperandType::TENSOR_BOOL8 PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToOutputWeightsBuffer, recurrentToOutputWeightsShape, nullptr, &recurrentToOutputEffectiveBias) Incorrect input type for a RANK op: packages/modules/NeuralNetworks/common/operations/ResizeImageOps.cpp Unsupported input operand type for STRIDED_SLICE op: numInputDims <= 4 outDim transposeConvQuant8PerChannelNhwc( input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, biasData, biasShape, param, output.getNhwcBuffer(), output.getNhwcShape()) Validation failed for IF condition operand ANEURALNETWORKS_WHILE must have at least 3 inputs Check failed: index < static_cast<uint32_t>(outputCount) origOperandIndexToSlicedIndex inputIndexes processing created q_fixed <= (1LL << 31) double_multiplier > 1. of size static_cast<int32_t>(filterWidth) Calling update on an token in error state n_fw_cell SizeOfDimension(fw_aux_input_to_forget_weights_, 1) packages/modules/NeuralNetworks/common/operations/Cast.cpp SizeOfDimension(input_to_input_weights, 0) input->scale input->zeroPoint SizeOfDimension(bias, 0) packages/modules/NeuralNetworks/driver/sample/CanonicalDevice.cpp ManagedBuffer::validateRequest -- incompatible dimensions ( external/boringssl/src/crypto/fipsmodule/rsa/blinding.c AES-GCM Decryption KAT unknown library configuration file routines PKCS8 routines platform: n/a called on an execution that has already started fallbackUpdateOutputShapes.zeroSizedInput ) is a dynamic temporary shapes.size() == 0 ExecutionPlan , alignment = DynamicTemporaries::allocate(stepIndex = Check failed: it != mOperandMap.end() then= (mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToInputIndex.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand) + mSourceOperandToConstantReference.count(innerOperand)= : iteration Check failed: state.stage == WhileState::EVALUATE_BODY (controller->mSourceOperandToLocationOfTemporary2.count(outputOperand)= (step->outerOutputOperands.size()= mainModel->outputCount() ModelBuilder::findBestDeviceForEachOperation( ) -> Type , Operand::LifeTime::TEMPORARY_VARIABLE= Check failed: std::all_of(waitFor.begin(), waitFor.end(), [](int fd) { return fd >= 0; }) IPreparedModel::execute() error: DeviceManager::DeviceManager , minimum length expected: null size ANeuralNetworksModel_setOperandSymmPerChannelQuantParams copyLargeValuesToSharedMemory Operations were already sorted into run order. ANeuralNetworksModel_identifyInputsAndOutputs Can't set input or output to be ANeuralNetworks_getDeviceCount passed a nullptr SL_ANeuralNetworksCompilation_setCachingFromFds passed a nullptr SL_ANeuralNetworksDevice_getVendorExtensionCount passed a nullptr a.name libcutils.so Check failed: fn != nullptr MAX_POOL_2D MINIMUM FILL Timing{.timeOnDevice= SIGNALED ANDROID_Q [ !operandValueKnown[k] ) has already been written POINTER with a null pointer kNumInputs QuantizeMultiplier(output_multiplier, &output_multiplier_fixedpoint_int32, &params.output_multiplier_exponent) QuantizeMultiplier(reluish_multiplier, &reluish_multiplier_fixedpoint_int32, &params.reluish_multiplier_exponent) validateOutputTypes(context, outExpectedTypes) required input getSizeOfDimension(bwWeights, 1) FusedActivationFunc::NONE getSizeOfDimension(roiShape, 1) getSizeOfDimension(anchorsShape, 0) context->setOutputShape(kOutputBatchesTensor, batchesOutShape) outputSize getSizeOfDimension(projectionBiasShape, 0) getSizeOfDimension(outputStateShape, 0) Unsupported tensor type for operation REDUCE_MIN getNumberOfDimensions(endShape) == 1 getSizeOfDimension(beginShape, 0) == numInputDims CpuExecutor::executeSubgraph , arguments.size()= out REF is out of range for shape: validateBranchOperand(operands[inputs[op::kElseModelOperand]]) Cannot convert kSlicedVersion getNumberOfDimensions(input) == 4 getNumberOfDimensions(lookupShape) == 1 getNumberOfDimensions(axisShape) == 1 packages/modules/NeuralNetworks/common/operations/BidirectionalSequenceLSTM.cpp NumDimensions(fw_recurrent_to_output_weights_) NumDimensions(projection_weights) 128 prevOutput->scale sample::Device::allocate -- does not support dynamic output shape. Check failed: !isExtension(kOperandType) Check failed: kToken != nullptr external/boringssl/src/crypto/fipsmodule/bn/prime.c FFDH failed. UI routines HMAC routines /dev/kmsg bkmgtpe ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed an unfinished compilation ANeuralNetworksExecution_setTimeout called on an ANeuralNetworksExecution created from an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 ANeuralNetworksExecution_setLoopTimeout called after the execution has started. (step == nullptr= Check failed: !(reusable && dynamicTemporaries != nullptr) Check failed: isUpdatable(inputOrOutputInfo->dimensions(), dimensions) mState , 1u= loopBodyOutputCount , loopBodyOutputCount= mainModel->inputCount() Check failed: operand.lifetime == Operand::LifeTime::SUBGRAPH Cannot map step input )->declareModelOutputIsDownstreamInput(mSourceOperandToOutputIndex.at step->elseBranchInputOperands.size() debug.nn.sample.supported ::execute(...) error: IExecution::compute() error: Failed to create memory from AHWB: has Graph contains at least one cycle or one never-written operand ANeuralNetworksCompilation_setPreference passed a nullptr ANeuralNetworksExecution_setInput passed a nullptr Cannot find extension corresponding to prefix OTHER BOOL L2_NORMALIZATION LSTM GENERATE_PROPOSALS Operand::SymmPerChannelQuantParams{.scales= , .referenced= Invalid sync fence handle passed to SyncFence::create Timing::timeOnDevice ( performanceInfo.powerUsage ExtensionNamesAndPrefixes has duplicate name Operand 1.0f location.pointer == kNullptrVariant Invalid Request::Argument::LifeTime set to 0 but the request does not specify the dimension. opType channelQuant.scales.size() ANeuralNetworksModel_addOperation inputs operationRegistration != nullptr not registered outputs, got operand.dimensions[0] , must be in range [0, 255] CONSTANT_COPY with a non-zero poolIndex numOutputs == kNumOutputs || numOutputs == kNumOutputsWithState context->setOutputShape(kFwOutputTensor, fwOutput) numDimensions effectiveFilterHeight Unsupported tensor types combination for dequantize op. (input type: getSizeOfDimension(batchesShape, 0) bboxTransformFloat32(roi_float32.data(), roiShape, delta_float32.data(), bboxDeltasShape, batchesData, batchesShape, imageInfo_float32.data(), imageInfoDataShape, output_float32.data(), outputShape) getSizeOfDimension(boxesShape, 0) getNumberOfDimensions(inputToCellShape) QuantizeMultiplier(recurrentToInputEffectiveScale, &recurrentToInputEffectiveScaleA, &recurrentToInputEffectiveScaleB) packages/modules/NeuralNetworks/common/operations/Reduce.cpp roiInfo[2] * widthScale <= inWidth wRoiStart packages/modules/NeuralNetworks/common/operations/Transpose.cpp numCells getSizeOfDimension(recurrentWeights, 0) Could not map pools mModelPoolInfos->size() (subgraphIndex= Operation type type.dimensions == nullptr validateTensorDimensions(type, extensionOperandTypeInfo, tag, allowPartial) validateControlFlowOperandUnknownSize(helper, outputOperand) (minimumSupportedOperandVersion= Second tensor: dimension blockSizeShape.type == OperandType::TENSOR_INT32 getNumberOfDimensions(filter) == 4 weight_shape.dimensions.size() 2u aux_input_->shape().dimensions[1] NumDimensions(fw_aux_input_to_input_weights_) SizeOfDimension(bw_aux_input_to_cell_weights_, 1) SizeOfDimension(bw_aux_input_to_output_weights_, 0) packages/modules/NeuralNetworks/common/operations/ExpandDims.cpp NumOutputs(operation) NumDimensions(input_to_cell_weights) NumDimensions(forget_layer_norm_weights) NumDimensions(output_layer_norm_weights) sample::Device::prepareModel , size = ManagedBuffer::validateCopyFrom -- invalid memory size: ManagedBuffer::validateCopyTo -- invalid memory size: Check failed: kBufferTracker != nullptr Invalid dimensions for output DRBG Reseed KAT bignum routines %s%.*s yes on nnapi-sample_sl Check failed: alignment != nullptr ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed an invalid compilation ExecutionBuilder::ExecutionBuilder with outputs Check failed: mPlan->isSimple() unexpected ModelArgumentInfo::state TypeManager::get()->getExtensionOperandTypeInfo(operand.type, &info) i mInputIndexes.size() syncWait failed, fd: MEMORY Check failed: i < size() Check failed: kind == INPUT Check failed: logicalStep->isGoto() ExecutionStep::finishStepModel, step : execute on : if body= controller->mSourceOperandToInputIndex.count(outputOperand) , mSteps.size()= Check failed: mState == SIMPLE || mState == COMPOUND has an unexpected extraParams variant: unrecognized priority: (step->elseBranchOutputOperands.size()= onto Unsupported driver feature level: IDevice::prepareModel() returned nullptr without error code CpuExecution::computeFenced wait for sync fences to signal before execution Check failed: src->getBuffer() != nullptr Invalid Operation: ANeuralNetworksModel_addOperation exceed max operations ANeuralNetworksCompilation_createForDevices passed duplicate devices ANeuralNetworksMemoryDesc_setDimensions passed a nullptr ANeuralNetworksExecution_getOutputOperandRank passed a nullptr packages/modules/NeuralNetworks/runtime/Event.h Can't mmap the file descriptor. BUSY CONV_2D RANDOM_MULTINOMIAL ROI_ALIGN TRANSPOSE_CONV_2D , .isSufficient= , .info= , .location= <empty memory> since epoch ...] Invalid Priority extensionOperandTypeInfo != nullptr IF must have at least 3 inputs a.zeroPoint kNumberOfOperationTypes numOutputs == kNumOutputsMerged || numOutputs == kNumOutputsMergedWithState fwNumUnits getSizeOfDimension(input, 0) Unsupported input operand type for comparison op: validateOutputTypes(context, {OperandType::TENSOR_BOOL8}) filterRank getSizeOfDimension(filter, 3) WidthMajor inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 getSizeOfDimension(anchorsShape, 1) roiBase[3] context->setOutputShape(kOutputScoreTensor, scoresOutShape) packages/modules/NeuralNetworks/common/operations/QLSTM.cpp packages/modules/NeuralNetworks/common/operations/Quantize.cpp hRoiStart <= inHeight n_dims permData[idx] >= 0 && permData[idx] < static_cast<int32_t>(numInputDims) , requestPoolInfos.size()= // NOTE: isValid(index) Invalid index: Extension operations are supported since HAL version 1.2, validating using mapped to ErrorStatus::GENERAL_FAILURE The driver returned Timing when it shouldn't. validateQuant8AsymmSignedParams(type, tag) , slicedOperations.size()= double_multiplier >= 0. expectedTypes.size() projOperand.length >= sizeof(float) SizeOfDimension(fw_aux_input_to_output_weights_, 1) SizeOfDimension(bw_aux_input_to_forget_weights_, 0) n_output NumDimensions(input_gate_bias) SizeOfDimension(recurrent_to_output_weights_, 0) checkWeightsShape(inputToForgetWeights, inputSize) packages/modules/NeuralNetworks/common/operations/SVDF.cpp [NN_LD_PC]sample::Device::prepareModelFromCache sample::Device::allocate -- unknown remote IPreparedModel. Check failed: srcPool.getBuffer() != nullptr sample::PreparedModel::execute( createRuntimeMemoriesFromMemoryPools -- could not map pools external/boringssl/src/crypto/fipsmodule/bn/sqrt.c RSA Sign KAT compiler: n/a %s ANeuralNetworksExecution_setInputFromMemory that was not created by ANeuralNetworksCompilation_createForDevices ANeuralNetworksExecution_getDuration called before the execution has finished. getDuration( ANeuralNetworksExecution_getOutputOperandRank called on an execution that has encountered an error. ExecutionBuilder::compute (asynchronous API, non-threaded) = ExecutionBuilder::finishComputation is called twice Check failed: mPreparedModel != nullptr packages/modules/NeuralNetworks/runtime/ModelArgumentInfo.h Check failed: mState != SIMPLE mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToInputIndex.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand) + mSourceOperandToConstantReference.count(innerOperand) 1u wait for mLastStepSyncFd (branchInputOperands.size()= , innerBuffer->getSize()= debug.nn.cpuonly request size larger than the memory size. but to be an input or output. Check that it's not a constant or already an input or output ANeuralNetworksModel_getSupportedOperationsForDevices passed duplicate devices ANeuralNetworksModel_identifyInputsAndOutputs passed a nullptr ANeuralNetworksEvent_getSyncFenceFd passed a nullptr SL_ANeuralNetworksDevice_getVendorExtensionName passed a nullptr Unable to open function Incompatible ranks: TENSOR_FLOAT16 L2_POOL_2D DIV OperationType{ RESOURCE_EXHAUSTED_PERSISTENT , .length= , .operations= <constant Unknown{.handle= memory.prot & ~kAllowedBits Model instead of the expected is never written dimensions.empty() isOutput type.dimensions.empty() -128 <= type.zeroPoint && type.zeroPoint <= 127 for input Unexpected offset getNumberOfDimensions(input2) Unsupported tensor type for operation SUB QuantizeMultiplierSmallerThanOneExp(real_input2_multiplier, &input2_multiplier, &input2_shift) packages/modules/NeuralNetworks/common/operations/Conv2D.cpp depthwiseConvNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, depthMultiplier, activation, output.getNhwcBuffer(), output.getNhwcShape()) getNumberOfDimensions(bboxDeltasShape) getSizeOfDimension(imageInfoShape, 1) getNumberOfDimensions(roiShape) == 2 getSizeOfDimension(imageInfoDataShape, 1) context->getInputValue<float>(kScaleXScalar) context->getInputValue<_Float16>(kIoUThresholdScalar) >= 0 context->getInputValue<int32_t>(kMaxNumDetectionPerClassScalar) Invalid input tensor rank: getSizeOfDimension(cellToInputShape, 0) getNumberOfDimensions(cellGateBiasShape) CheckedLog2(prevCellStateShape.scale, &cellShift) QuantizeMultiplier(inputToForgetEffectiveScale, &inputToForgetEffectiveScaleA, &inputToForgetEffectiveScaleB) QuantizeMultiplier(inputToOutputEffectiveScale, &inputToOutputEffectiveScaleA, &inputToOutputEffectiveScaleB) QuantizeMultiplier(outputLayerNormShape.scale, &outputLayerNormScaleA, &outputLayerNormScaleB) widthScale indexedOutput.indexToFlatIndex(outputIndex, &outputOffset) indexedOutput.nextIndexInplace(&outputIndex, &lastIndex) stride != 0 getNumberOfDimensions(recurrentWeights) arguments.size() Operand data size overflows uint32_t Cannot get scalar data: buffer too short validateBodyOperand(operands[inputs[op::kBodyModelOperand]]) input_product_scale >= 0 SizeOfDimension(input_weights, 0) packages/modules/NeuralNetworks/common/operations/Tile.cpp packages/modules/NeuralNetworks/driver/sample/CanonicalPreparedModel.cpp executor.run returned ECDSA verification KAT failed. NIST P-224 ANeuralNetworksExecution_setOutputFromMemory called when an output has already been provided ANeuralNetworksExecution_ synchronizationCallback and burstBuilder cannot simultaneously be used , .mainOutputInsufficient = isUpdatable(*loc->dimensions, from[i].dimensions) to.size() POINTER( ExecutionCallback Check failed: !mDeclared stepIndex packages/modules/NeuralNetworks/runtime/ExecutionPlan.h temp: operand debug.nn.strict-slicing Check failed: kExecution != nullptr invalid compilation role. , memory: , expected length: Allocated large value pool of size at index ANeuralNetworksDevice_getType passed a nullptr ANeuralNetworksModel_getExtensionOperationType passed a nullptr SL_ANeuralNetworksDevice_getPerformanceInfo passed unknown performanceInfoKind readSize Unable to open either libandroid.so or libcutils.so: YES MeasureTiming{ ADD INSTANCE_NORMALIZATION REDUCE_SUM QUANTIZED_LSTM false , .whilePerformance= , .channelDim= Operand{.type= null pointer> ints> packages/modules/NeuralNetworks/common/Validation.cpp Invalid ErrorStatus performanceInfo.execTime Check failed: verified != nullptr !subgraph.operands.empty() for operation memorySizes.size() location.length Check failed: !operands.empty() list[i] Unsupported input tensor type for operation inExpectedTypes.size() for IF condition operand Unexpected condition operand type: for WHILE condition model op::kFirstInput + condModelInputCount , index= inputSize getSizeOfDimension(fwBias, 0) context->setOutputShape(kFwOutputHiddenStateTensor - delta, context->getInputShape(kFwHiddenStateTensor)) packages/modules/NeuralNetworks/common/operations/Concatenation.cpp gemmlowp error: %s depth_multiplier Unsupported value type for fill op: GetQuantizedConvolutionMultipler(inputShape, weightsShape, biasShape, outputShape, &realMultiplier) 0.125f numAnchors * kRoiDim anchorsShape.scale context->getInputValue<_Float16>(kScoreThresholdScalar) >= 0 packages/modules/NeuralNetworks/common/operations/LocalResponseNormalization.cpp filter_height !context->isOmittedInput(tensor) getSizeOfDimension(inputGateBiasShape, 0) QuantizeMultiplier(cellLayerNormShape.scale, &cellLayerNormScaleA, &cellLayerNormScaleB) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToInputWeightsBuffer, inputToInputWeightsShape, nullptr, &inputToInputEffectiveBias) getNumberOfDimensions(axesShape) indexedInput.indexToFlatIndex(inputIndex, &inputOffset) packages/modules/NeuralNetworks/common/operations/StridedSlice.cpp k validateInputTypes(context, {inputType, OperandType::TENSOR_INT32}) filterWidth !hasTensor(context, kInputLayerNormWeightsTensor) Can't map shared memory: is required but missing. !isOmittedOutput(i) validateQuant8AsymmParams(type, tag) validateQuant8SymmParams(type, tag) compatible(innerOperand, outerOperand) packages/modules/NeuralNetworks/common/MetaModel.cpp Slice: From canonical Slice: To minimumSupportedOperandVersion (looksEmpty= Sliced model fails validate(): Check failed: !mIsError SizeOfDimension(bw_recurrent_to_output_weights_, 0) SizeOfDimension(fw_aux_input_to_forget_weights_, 0) SizeOfDimension(bw_aux_input_to_output_weights_, 1) packages/modules/NeuralNetworks/common/include/OperationsUtils.h NumDimensions(projection_bias) SizeOfDimension(prevCellState, 1) SizeOfDimension(input, 1) SizeOfDimension(recurrent_weights, 0) sample::Device::allocate -- validation failed: external/boringssl/src/crypto/fipsmodule/bn/ctx.c 3DES Encryption KAT SHA-1 KAT failed to open /dev/urandom Digest functions Cannot fall back to CPU because of an extension operation ANeuralNetworksExecution_setOutput called after the execution has started. ANeuralNetworksExecution_getOutputOperandDimensions bad index loc->paddedLength < UINT32_MAX / 2 , new = , initialDimensions = Check failed: isAllocated ExecutionStep( Check failed: !containsUnknownSize(step->outerInputOperands) Check failed: !containsUnknownSize(step->thenBranchInputOperands) offset = Unable to map operand memory pool : evaluating condition controller->mSourceOperandToOutputIndex.count(outputOperand) to step ) = -1 (NNAPI) Check failed: it != mOutputToDefiningExecutionStep.end() (sourceOperand.lifetime= (step->thenBranchInputOperands.size()= Check failed: typeManager->isTensorType(sourceOperand.type) Check failed: kInterface != nullptr Failed to create memory from fd: dimensions == mUpdatedDimensions Setting argument with padded length without enabling input and output padding -- length: for operand count Operand::LifeTime{ DEPTHWISE_CONV_2D FULLY_CONNECTED RNN DETECTION_POSTPROCESSING HARD_SWISH , .poolIndex= (length= Invalid OperandType is underspecified inputRank Condition operand must be a singleton Unexpected operand type: b.dimensions[i] op::kFirstInput + bodyModelInputCount was Unsupported tensor type for operation RELU getSizeOfDimension(input, d) input.type == bias.type height padding_top output.commit() allocation failure roiShape.scale context->setOutputShape(kOutputBatchesTensor, outputBatchSplitShape) getSizeOfDimension(deltasShape, 0) getNumberOfDimensions(heatmapShape) Unsupported tensor type for a logical operation getSizeOfDimension(recurrentToCellShape, 0) getNumberOfDimensions(projectionBiasShape) layerNormWeightsAllOrNoneCifg QuantizeMultiplier(inputToCellEffectiveScale, &inputToCellEffectiveScaleA, &inputToCellEffectiveScaleB) validateOutputTypes(context, {OperandType::INT32}) roiPooling(inputData, inputShape, roi_float32.data(), roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, useNchw, outputData, outputShape) Unsupported input operand type for select op: Unsupported input operand type for SQUEEZE op: squeezeDimsShape.type == OperandType::TENSOR_INT32 current >= 0 && current < numInputDims && getSizeOfDimension(inputShape, current) == 1 validateOutputTypes(context, outputTypes) indexes.size() CpuExecutor::setOutputShapes: mOutputShapes[ getInputInfo(i)->dimensions[j] Check failed: !isExtension(type) A scalar type can never have unspecified dimensions Validation failed for operation compatible(inputOperand, outputOperand) MetaModel Sliced model fails validate(): insufficient version ( origOperandIndexToSlicedIndex compliant input processing created paddingsShape.type == OperandType::TENSOR_INT32 activationOperand.length >= sizeof(int32_t) handleNegativeAxis(getNumberOfDimensions(input) + 1, &axis) packages/modules/NeuralNetworks/common/operations/GroupedConv2D.cpp weightsScale != 0 SizeOfDimension(prevCellState, 0) sample::Device::getSupportedOperations sample::Device::allocate ManagedBuffer::validateCopyFrom -- the updated dimensions are not fully specified: external/boringssl/src/crypto/fipsmodule/ecdh/ecdh.c external/boringssl/src/crypto/fipsmodule/ec/simple.c %02x OPENSSL_internal BoringSSL %m-%d %H:%M:%S ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed an unfinished compilation Check failed: syncFence != nullptr ANeuralNetworksExecution_startComputeWithDependencies not all outputs have fully specified dimensions NN_RET_CHECK failed ( !TypeManager::get()->sizeOfDataOverflowsUInt32(operandType, outputShapes[i].dimensions) to->size() Check failed: inputOrOutputInfo->unspecified() Re-compile the model on CPU off= exit= ): mNextStepIndex = cache file finish Check failed: dst->getBuffer() != nullptr combined.has_value() ) for Non-BLOB format AHardwareBuffer. ANeuralNetworksCompilation_setCaching passed a nullptr Check failed: mSyncFenceFd > 0 Registered extension a.operandTypes == b.operandTypes AVAILABLE CONSTANT_REFERENCE PAD EQUAL , .offset= ns <handle with referencedSubgraphs.size() expectedLength preparedModels.size() operand byte size exceeds 0 <= type.zeroPoint && type.zeroPoint <= 255 , expected 12 or 9) or output operands ( operationRegistration->validate != nullptr OperandType::TENSOR_BOOL8 Operand of type is underspecified (can't be 0) DataLocation with a non-zero padding used in Model: Unsupported tensor type for operation RELU1 Unsupported tensor type for operation LOGISTIC packages/modules/NeuralNetworks/common/operations/BidirectionalSequenceRNN.cpp getNumberOfDimensions(bwRecurrentWeights) axis param.initialize(context) getSizeOfDimension(bias, 0) getNumberOfDimensions(shape) context->setOutputShape(kOutputDetectionTensor, outputDetectionShape) roiBase[2] roi[1] context->setOutputShape(kOutputScoreTensor, outputScore) -numDimensions Unsupported tensor type for operation L2_POOL_2D getSizeOfDimension(inputToOutputShape, 1) getNumberOfDimensions(recurrentToInputShape) getNumberOfDimensions(cellToInputShape) !hasTensor(context, kInputGateBiasTensor) getNumberOfDimensions(forgetGateBiasShape) PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToInputWeightsBuffer, recurrentToInputWeightsShape, nullptr, &recurrentToInputEffectiveBias) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToOutputWeightsBuffer, inputToOutputWeightsShape, nullptr, &inputToOutputEffectiveBias) Unsupported tensor type for REDUCE_PROD or REDUCE_SUM validateInputTypes(context, {OperandType::TENSOR_BOOL8, inputType, inputType}) validateInputTypes(context, { inputType, OperandType::TENSOR_INT32, }) validateInputTypes(context, { inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32, OperandType::INT32, OperandType::INT32, OperandType::INT32, }) IF failed. operands. Got dimension info.length n (nanoseconds= Check failed: helper.getSubgraphOutputOperand != nullptr ANEURALNETWORKS_WHILE must have at least 1 output packages/modules/NeuralNetworks/common/OperationsUtils.cpp std::abs(input_product_scale - bias_scale) <= 1e-6 * std::min(input_product_scale, bias_scale) mergeOutputsOperand.length >= sizeof(bool) input_->shape().dimensions[1] NumDimensions(fw_aux_input_to_output_weights_) NumDimensions(bw_aux_input_to_forget_weights_) SizeOfDimension(recurrent_to_input_weights, 0) NumDimensions(input_to_output_weights_) getNumberOfDimensions(shape) >= 2 setRunTimePoolInfosFromCanonicalMemories failed sample::Device::allocate -- BufferTracker returned invalid token. packages/modules/NeuralNetworks/common/BufferTracker.cpp ManagedBuffer cannot handle extension operands. ManagedBuffer::validateCopyFrom -- invalid dimensions for scalar operand: packages/modules/NeuralNetworks/common/include/DefaultExecution.h external/boringssl/src/crypto/fipsmodule/ecdsa/ecdsa.c AES_set_encrypt_key failed. AES-CBC Encryption KAT RSA KeyGen failed invalid library (0) Cipher functions %llx <%d>%s: %.*s ANeuralNetworksExecution_setInputFromMemory called after the execution has started. ANeuralNetworksExecution_setInputFromMemory called when an input has already been provided ANeuralNetworksExecution_enableInputAndOutputPadding called after the execution has started. ANeuralNetworksExecution_getOutputOperandDimensions called on an execution that has encountered an error. CompoundExecutionBuilder::computeInternal (from plan, iteratively) Check failed: fallbackExecutor->areDynamicTemporariesAllocated() isZeroSizedTensor(executionResultCode, from[i]) , padding = must be allocated Check failed: !deadline.has_value() next: branchOutputOperands.size() ms (size= SIMPLE for , mainModel->outputCount()= failed to add operation packages/modules/NeuralNetworks/runtime/Manager.cpp DriverDevice::allocate -- memory allocation on device **Execution failed** (ResultCode = Before mBurstExecution->compute() Invalid ExecutionPreference: ANeuralNetworksMemoryDesc_addInputRole -- input index out of range. setDimensions ANeuralNetworksMemory_copy -- uninitialized source memory packages/modules/NeuralNetworks/runtime/ModelArgumentInfo.cpp Saving large value setting extension data for operand ANeuralNetworksModel_finish called on an invalid model is disabled Check failed: ahwb != nullptr ASharedMemory_getSize UNKNOWN INT32 TENSOR_INT32 NOT_EQUAL SELECT Model{.main= HAL version 1.2 HalVersion{ , .size= Invalid DeviceType modelRank == 0 || operand.dimensions[i] == 0 || requestArgument.dimensions[i] == operand.dimensions[i] role.ioIndex invalid dimensions for scalar type inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_FLOAT16 Wrong operand count: expected for WHILE body model Tensor has at least one unknown dimension operandValuesSize getSizeOfDimension(auxInput, 0) stride_height convQuant8PerChannelNhwc( input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, activation, output.getNhwcBuffer(), output.getNhwcShape()) validateInputTypes(context, {OperandType::TENSOR_INT32, valueType}) cellShift <= -9 roiAlignNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, heightSamplingRatio, widthSamplingRatio, output.getNhwcBuffer(), output.getNhwcShape()) hRoiEnd getNumberOfDimensions(context->getInputShape(3)) getSizeOfDimension(recurrentWeights, 1) OEM operation not supported for CPU execution Invalid extraParams for model output // validateQuantSymmParams(type, tag) ANEURALNETWORKS_IF must have at least 1 output , (model.main.operands.size() == 0)= Dimensions mismatch for broadcast: NumDimensions(input) >= 1 NumDimensions(recurrent_to_forget_weights) SizeOfDimension(cell_to_input_weights, 0) SizeOfDimension(forget_layer_norm_weights, 0) projClipOperand.length >= sizeof(_Float16) prevOutput->zeroPoint packages/modules/NeuralNetworks/common/operations/RNN.cpp Invalid enum value for activation function: 0x%0X num_filters % rank P-384 ECDSA S /dev/urandom ASN.1 encoding routines elliptic curve routines COMP routines <%d>%s: **previous message missing %zu bytes** %zu-byte message too long for printk %s %c %s %5d %5llu SL_ANeuralNetworksCompilation_setCachingFromFds can't modify after compilation finished ANeuralNetworksCompilation_setPriority invalid priority ANeuralNetworksExecution_setOutput bad index with numDevices = 1 ANeuralNetworksExecution_setLoopTimeout input exceeds the maximum allowed ANeuralNetworksExecution_getOutputOperandDimensions called before the execution has finished. ExecutionBuilder::compute (synchronous API) ExecutionBuilder::compute (asynchronous API) validateOutputShapesFromDriver(status, mModel, outputShapes) finished updateOutputShapes Check failed: executor != nullptr std::any_of(shapes.begin(), shapes.end(), [](const OutputShape& shape) { return !shape.isSufficient; }) Attempting to read an operand that has no value next: Step# step->outerInputOperands.size() sourceModelIndex = is not a control flow operation Check failed: mState == SIMPLE Cache ANeuralNetworksMemoryDesc_finish -- no role has been specified. Check failed: mOperand.has_value() MemoryBuilder::finish -- cannot handle multiple devices. Input roles [ setOperandValueFromModel ANeuralNetworksModel_setOperandValueFromMemory setting operand is not recognized ANeuralNetworksDevice_wait passed a nullptr mError Cannot map Unknown memory DynamicCLDeps SUBGRAPH_OUTPUT RELU BOX_WITH_NMS_LIMIT EXP LOGICAL_NOT QUANTIZED_16BIT_LSTM TILE INVALID_ARGUMENT , extensionNameToPrefix= HAL version 1.0 Fd{.size= isValidExtensionName(extension.name) verified->size() ) is read before it is written for input RequestArgument ) different than the model's ( success inputIndexes.size() == 61 && (outputIndexes.size() == kNumOutputs || outputIndexes.size() == kNumOutputsMerged || outputIndexes.size() == kNumOutputsWithState || outputIndexes.size() == kNumOutputsMergedWithState) inputs, got inExpectedTypes[i] a.scale b.extraParams cannot have lifetime ]= Extension operand of type OperandValue location out of range. Starts at inputType == OperandType::TENSOR_BOOL8 || inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED convNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, biasData, biasShape, padding_left, padding_right, padding_top, padding_bottom, stride_width, stride_height, dilation_width_factor, dilation_height_factor, activation, output.getNhwcBuffer(), output.getNhwcShape()) packages/modules/NeuralNetworks/common/operations/Dequantize.cpp output type: context->setOutputShape(kOutputClassTensor, outputClassShape) getSizeOfDimension(imageInfoDataShape, 0) validateOutputTypes( context, {inputType, inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32}) context->getInputValue<float>(kScaleHScalar) roiBase[0] Unsupported soft NMS kernel Unsupported tensor type for LOGICAL_NOT getSizeOfDimension(recurrentToOutputShape, 0) getNumberOfDimensions(inputToInputShape) roiInfo[1] <= roiInfo[3] getNumberOfDimensions(beginShape) sliceSize getNumberOfDimensions(beginShape) == 1 SetShape(inputShape, &outputShape) paddingLeft !context->isOmittedOutput(kOutputStateOutTensor) !context->isOmittedOutput(kCellStateOutTensor) is zero. (info.length= -> n Check failed: !strictSlicing Check failed: !mToken.empty() packages/modules/NeuralNetworks/common/QuantUtils.cpp NumDimensions(input_) == 3 n_fw_input Unsupported CAST output type Embedding Lookup: index out of bounds. typeOperand.length >= sizeof(int32_t) NumDimensions(input_to_forget_weights) SizeOfDimension(cell_layer_norm_weights, 0) NumDimensions(recurrent_to_output_weights_) checkWeightsShape(inputToOutputWeights, inputSize) NumDimensions(bias) SizeOfDimension(weights_time, 0) sample::Device::allocate -- does not support extension type. Check failed: dstPool.getBuffer() != nullptr [NN_LD_PE]sample::PreparedModel::execute syncWait failed [SW][NN_LD_PIO]sample::PreparedModel::executeFenced external/boringssl/src/crypto/fipsmodule/bn/gcd.c external/boringssl/src/crypto/fipsmodule/bn/montgomery.c external/boringssl/src/crypto/fipsmodule/cipher/aead.c REL ANeuralNetworksExecution_setInput > Check failed: update != nullptr step == nullptr index Check failed: executionBuilder != nullptr It's new ExecutionCallback::setOnFinish -- object already has a "finish" callback " DynamicTemporaries: sourceOperandIndex = step model inputs Check failed: !containsUnknownSize(step->outerOutputOperands) paddedLength = finished declarations from operand branchInputOperands.size() (controller->mSourceOperandToInputIndex.count(outputOperand)= , lifetime= ] Unexpected LogicalStep kind RuntimeMemory::create() failed: Zero point: ANeuralNetworksModel_setOperandValue setting operand Operand::LifeTime::CONSTANT_REFERENCE inputs as this exceeds the numbe of operands packages/modules/NeuralNetworks/runtime/NeuralNetworks.cpp ANeuralNetworksModel_getSupportedOperationsForDevices passed an empty device list ANeuralNetworksCompilation_createForDevices passed an empty device list BATCH_TO_SPACE_ND SUB QUANTIZE SIN ELU Extension::OperandTypeInformation{.type= <null IBuffer> ANDROID_R fds and Ashmem{.fd= <empty HardwareBuffer::Handle> Invalid FusedActivationFunc typeIter == types.end() (referencedSubgraphs.size()= location.poolIndex has number of dimensions ( , expected 4 or 3) or output operands ( OperandType::SUBGRAPH (0= incorrect scale or offset for TANH output packages/modules/NeuralNetworks/common/include/CpuOperationUtils.h getSizeOfDimension(bwHiddenState, 0) (shape.dimensions.size()= filterType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || filterType == inputType dilation_width_factor Unsupported tensor type for operation ABS kRoiDim * numClasses boxWithNmsLimitFloat32Compute( scores_float32.data(), scoresShape, roi_float32.data(), roiShape, batchesData, batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma, nmsScoreThreshold, &batchSplitIn, &batchSplitOut, &selected) packages/modules/NeuralNetworks/common/operations/L2Normalization.cpp calculateBroadcastedShape(input, alpha, &output) getSizeOfDimension(inputToCellShape, 0) getSizeOfDimension(inputToCellShape, 1) getNumberOfDimensions(outputStateShape) getSizeOfDimension(cellStateShape, 1) !hasTensor(context, kInputLayerNormTensor) QuantizeMultiplier(recurrentToOutputEffectiveScale, &recurrentToOutputEffectiveScaleA, &recurrentToOutputEffectiveScaleB) Unsupported tensor type for operation REDUCE_ANY inHeight endShape.type == OperandType::TENSOR_INT32 Unsupported data type: numInputDims getSizeOfDimension(hiddenState, 0) subgraphIndex , innerOperand.length= // TODO(b/147661714): Add subgraph support to GraphDump Operand is not a valid subgraph reference slicedOperations.size() getSizeOfDimension(paddingsShape, 0) == 2 params->proj_clip >= 0 layer_norm_weights_all_or_none_cifg packages/modules/NeuralNetworks/common/operations/QuantizedLSTM.cpp 1. / 128.0 checkWeightsShape(inputToInputWeights, inputSize) num_filters BufferTracker::get -- unknown token external/boringssl/src/crypto/fipsmodule/bn/bn.c external/boringssl/src/crypto/fipsmodule/bn/random.c P-224 NIST P-256 NA ANeuralNetworksExecution_setOutput ANeuralNetworksExecution_setOutputFromMemory an ANeuralNetworksExecution created from an ANeuralNetworksCompilation ANeuralNetworksExecution_startComputeWithDependencies called with non-zero duration on an ANeuralNetworksExecution created from an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 ExecutionBuilder::computeFenced Check failed: synchronizationCallback == nullptr || burstBuilder == nullptr ( Check failed: mReusable output Check failed: mState == POINTER || mState == MEMORY output shapes vector must be empty or of length Check failed: isNew newLength Failed to allocate dynamic temporaries of size (step->bodyInputOperands.size()= , state: Check failed: execution != nullptr DriverExecution::compute completed Check failed: memory != nullptr RuntimeMemory::create() map failed: ANeuralNetworksMemory_copy -- unable to map memory ANeuralNetworksMemory_copy -- incompatible memory size invalid dimensions for scalar memory. NULLPTR OEM data type is deprecated. Use Extensions instead. setOperandExtensionData inputCount ANeuralNetworksDevice_getExtensionSupport passed a nullptr NNAPI Vendor extensions enabled: Extension dupFd was passed an invalid fd Check failed: multiple != 0 FLOAT16 ARGMAX AXIS_ALIGNED_BBOX_TRANSFORM BIDIRECTIONAL_SEQUENCE_LSTM GROUPED_CONV_2D OEM_OPERATION HIGH MISSED_DEADLINE_PERSISTENT , .inputIndexes= 0 (referenced.size()= lastPosition , expected 1) for operation b.type , must be in range [-128, 127] validateInputTypes(context, {inputType}) calculateBroadcastedShape(input1, input2, &output) validateInputTypes(context, {inputType, OperandType::INT32, OperandType::INT32}) input.type == OperandType::TENSOR_QUANT8_ASYMM || input.type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED stride_width QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &outputShift[i]) context->setOutputShape(kOutputScoreTensor, outputScoreShape) boxWithNmsLimitFloat32Compute( scores_float32.data(), scoresShape, roiData, roiShape, batchesData, batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma, nmsScoreThreshold, &batchSplitIn, &batchSplitOut, &selected) packages/modules/NeuralNetworks/common/operations/LogicalNot.cpp channels getSizeOfDimension(forgetGateBiasShape, 0) getNumberOfDimensions(outputGateBiasShape) PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToForgetWeightsBuffer, recurrentToForgetWeightsShape, nullptr, &recurrentToForgetEffectiveBias) inDepth validateOutputTypes(context, {inputType, OperandType::TENSOR_INT32}) getSizeOfDimension(permShape, 0) context->setOutputShape(kCellStateOutTensor, cellStateOutTensor) (poolIndex= requestPoolInfos.size() d style=filled fillcolor=black fontcolor=white COPY Unknown trace flag: Unknown result code validateControlFlowOperandUnknownSize(helper, outerOperand) getSizeOfDimension(filter, 0) % numGroups == 0 SizeOfDimension(fw_input_to_output_weights_, 1) SizeOfDimension(bw_aux_input_to_cell_weights_, 0) getLinkingMode(has_aux_input, has_aux_weights, &linkingMode) SizeOfDimension(input_to_cell_weights, 0) NumDimensions(cell_to_output_weights) NumDimensions(cell_layer_norm_weights) input_layer_norm_weights are provided while CIFG is used SizeOfDimension(input_to_output_weights_, 1) inputRank == 2 || inputRank == 3 packages/modules/NeuralNetworks/common/operations/Pow.cpp biasScale SizeOfDimension(weights_feature, 1) SampleBuffer::copyTo -- unable to map dst memory. sample::PreparedModel::execute timing = external/boringssl/src/crypto/fipsmodule/bn/jacobi.c external/boringssl/src/crypto/fipsmodule/ec/oct.c ECDSA KeyGen failed external/boringssl/src/crypto/fipsmodule/cipher/e_aes.c Diffie-Hellman routines ECDH routines VDIWEFF %s %c %s %5d %5llu %s:%u] %s:%u] no ANeuralNetworksCompilation_setPreference invalid preference ANeuralNetworksCompilation_setPriority can't modify after compilation finished ANeuralNetworksMemoryDesc_addOutputRole passed an unfinished compilation burstCompute == ExecutionBuilder::finishComputation is called in the preparation state } > Check failed: false : Setting with operand type that is not fully specified but has length !tm->isTensorType(outputOperand.type) || (shapes[outputIndex].dimensions.size() != 0) MEMORY( model inputs preparedModel->configureExecutionBurst() failed with Check failed: isValid() finished allocating for a step step->bodyOutputOperands.size() controller->mSourceOperandToLocationOfTemporary2.count(outputOperand) size , outerBuffer->getSize()= size_t(1) , newLength = Found interface -- invalid frequency ModelArgumentInfo (operand.lifetime= ANeuralNetworksModel_finish called more than once ANeuralNetworksBurst is already being used in another call to ANeuralNetworksExecution_burstCompute ANeuralNetworksCompilation_finish passed a nullptr to ANeuralNetworksExecution_startCompute SL_ANeuralNetworksDevice_getVendorExtensionName passed a vendorExtensionIndex that is out of range SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation passed a nullptr getExtensionInfo(prefix, &extension) Unable to map nullptr SharedMemory object Check failed: !isExtension(operandType) SQUEEZE GATHER LOG UNIDIRECTIONAL_SEQUENCE_LSTM NONE <valid fd> ) must not exceed Timing::timeInDriver ( !subgraph.operations.empty() allowUnspecifiedOutput has dimension operands.front().zeroPoint filterType == inputType || filterType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL Incomplete operation registration: a.type Scalar data has dimensions of rank but dimensions of rank 0 Check failed: operationRegistration != nullptr context->getNumInputs() static_cast<FusedActivationFunc>(activation) param.padding_left Unsupported filter type for operation padding_left GetQuantizedConvolutionMultipler( inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]) input.type == alpha.type getSizeOfDimension(inputToForgetShape, 1) peepholeWeightsAllOrNone getSizeOfDimension(projectionShape, 0) QuantizeMultiplier(recurrentToForgetEffectiveScale, &recurrentToForgetEffectiveScaleA, &recurrentToForgetEffectiveScaleB) wRoiStart <= inWidth hRoiStart validateInputTypes( context, {inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32}) packages/modules/NeuralNetworks/common/LegacyUtils.cpp type.dimensionCount == 0 Check failed: helper.getSubgraphInputCount != nullptr helper.isValidSubgraphReference(branchModelOperand) nonExtensionOperandSizeOfData(operand.type, operand.dimensions) (slice->mSlicedOperationIndexToOrigIndex.size()= origOperandIndexToSlicedIndex->count(origOperandIndex) and found OrigOperandToSlicedInputOperandIndex::getIndex created looksEmpty (model.main.operands.size() == 0) strechDim == -1 blockSize > 0 height % blockSize == 0 getSizeOfDimension(paddingsShape, 1) == 2 aux_fw_weights_all_or_none && aux_bw_weights_all_or_none dimsB[0] packages/modules/NeuralNetworks/common/operations/EmbeddingLookup.cpp NumDimensions(forget_gate_bias) checkBiasShape(inputGateBias) request.pools.size() external/boringssl/src/crypto/fipsmodule/bn/div.c EVP_AEAD_CTX_init for AES-128-GCM failed. overflow PEM routines X.509 certificate routines common libcrypto routines X509 V3 routines OCSP routines ECDSA routines external/boringssl/src/crypto/ex_data.c %s: %s ro.build.version.sdk inputs and ANeuralNetworksExecution_setInput called when an input has already been provided ANeuralNetworksExecution_setInputFromMemory bad index ANeuralNetworksExecution_setOutput called when an output has already been provided CompoundExecutionBuilder::computeFencedInternal (from plan, iteratively) compute updateOutputShapes: StepExecutor::StepExecutor with unexpected to[i] == from[i] || to[i] == 0 pool= thread constructor failed , dimensions = Check failed: temp.paddedLength % temp.padding == 0 for step Check failed: !containsUnknownSize(step->elseBranchInputOperands) Check failed: mBody != nullptr temp (boundary constant): operand , step->bodyOutputOperands.size()= IPreparedModel::createReusableExecution() error: ANeuralNetworksMemoryDesc_ addInputRole ANeuralNetworksMemoryDesc_addOutputRole -- output index out of range. metadata.dimensions.empty() || TypeManager::get()->isTensorType(kOperand.type) ANeuralNetworksDevice_getName passed a nullptr ANeuralNetworksModel_getSupportedOperationsForDevices passed a nullptr as a device ANeuralNetworksExecution_getDuration passed a nullptr ANeuralNetworksExecution_enableInputAndOutputPadding passed a nullptr (mError= packages/modules/NeuralNetworks/runtime/TypeManager.cpp Unknown extension prefix Check failed: getExtensionOperandTypeInfo(type, &info) libandroid.so NO TOPK_V2 IF true operands.size() referenced.size() marked as but is not included in Model input or output indexes s but the model has modelRank == 0 || requestRank == modelRank role.modelIndex !channelQuant.scales.empty() invalid zeroPoint: inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM Unsupported hash tensor type for operation (inputIndexes.size() == 23 || inputIndexes.size() == 27) && outputIndexes.size() == 4 operands[inputIndexes[i]].type modelOperand.location.offset >= nonNull params.output_multiplier_exponent <= 0 getNumberOfDimensions(fwBias) , 4u= handleNegativeAxis(context->getInputShape(kInputTensor), &axis) Unsupported output type for fill op: context->getInputValue<float>(kScaleYScalar) boxInfoBase[3] filter_width getSizeOfDimension(recurrentToInputShape, 0) getSizeOfDimension(outputStateShape, 1) getNumberOfDimensions(cellStateShape) getNumberOfDimensions(inputLayerNormShape) PrecomputeZeroPointTimesWeightWithBias( hiddenStateZeroPoint, projectionWeightsBuffer, projectionWeightsShape, projectionBiasBuffer, &projectionEffectiveBias) Unsupported tensor type for REDUCE_MAX or REDUCE_MIN numInputs >= kNumInputs - 1 && numInputs <= kNumInputs + kNumOptionalInputs getSizeOfDimension(batchSplitShape, 0) roiInfo[3] * heightScale <= inHeight Unsupported tensor type for SQUEEZE op. index = validateInputTypes(context, {inputType, OperandType::INT32}) Unsupported input operand type for UNIDIRECTIONAL_SEQUENCE_LSTM op: Check failed: poolInfos != nullptr failed. !isOmittedInput(i) digraph { label=" 0.f and later (validating using Validation failed for WHILE body model validateControlFlowOperandUnknownSize(helper, innerOperand) Check failed: index < static_cast<uint32_t>(inputCount) Unexpected double_multiplier > 0. input_->shape().dimensions[0] dimsA.size() dimsB[1] NumInputsWithValues(operation, operands) SizeOfDimension(recurrent_to_forget_weights, 1) SizeOfDimension(projection_weights, 1) weightsScale / 128.0 SizeOfDimension(recurrent_weights, 1) num_inputs == 6 || num_inputs == 7 ManagedBuffer::validateRequest -- invalid buffer role. AES_set_decrypt_key failed. SHA-512 KAT ECDSA signature KAT failed. external/boringssl/src/crypto/mem.c DSA routines ANeuralNetworksExecution_setOutputFromMemory bad index isUpdatable(to->at(toIndex).dimensions, from[i].dimensions) Check failed: completed() HAS_NO_VALUE ExecutionCallback::bindThread -- a thread has already been bound to this callback object temps as step model inputs buffer->getSize() (step->condInputOperands.size()= Check failed: mState == EMPTY Step ModelBuilder::partitionTheWork: findNextDeviceToProcess: Check failed: token != nullptr getSlice( IBurst CpuDevice::allocate -- does not support unknown dimensions. findAvailableDevices debug.nn.syncexec-runtime Expected model cache handles, got ANeuralNetworksMemoryDesc_setDimensions -- incompatible dimensions for scalars. , offset: addOperand Extension operand type ANeuralNetworksModel_addOperand setOperandValue ANeuralNetworksModel_setOperandValueFromMemory setting ANeuralNetworksDevice_getFeatureLevel passed a nullptr prefix=0 does not correspond to an extension (readSize= Incompatible dimensions: OFFLINE CONCATENATION EMBEDDING_LOOKUP SPACE_TO_BATCH_ND ABS POW RSQRT LOW , .byteSize= <no params> , .outputs= NN_VALIDATE failed ( iter == types.end() containsIndex(i) type.zeroPoint , expected 61) or output operands ( (inputIndexes.size() == 12 || inputIndexes.size() == 9) && outputIndexes.size() == 1 outExpectedInTypes[i] inputs.size() outputs.size() bodyModelOutputCount operand.dimensions.empty() , must be in range [0, 65535] static_cast<uint64_t>(location.offset) + location.length getNumberOfDimensions(auxInput) input1.scale * input2.scale handleNegativeAxis(input, &axis) channels_out packages/modules/NeuralNetworks/common/operations/Elu.cpp num_units numBatches imageInfoShape.scale getSizeOfDimension(roiShape, 0) == numRois context->getInputValue<_Float16>(kScaleXScalar) > 0 numBoxes boxesShape.offset getSizeOfDimension(inputLayerNormShape, 0) getNumberOfDimensions(cellLayerNormShape) getNumberOfDimensions(outputLayerNormShape) roiInfo[2] >= 0 SetShape(input1, &output) CpuExecutor CpuExecutor::executeWhileOperation: iteration (outerOperand.length= does not support zero-sized tensor, but input Check failed: index < operation->outputs.size() validateConditionOperand(*helper.getSubgraphOutputOperand(condModelOperand, 0)) size_t(0) numInputElements == numOutputElements getNumberOfDimensions(valueShape) >= 1 getSizeOfDimension(paddingsShape, 0) == numInputDims packages/modules/NeuralNetworks/common/QuantUtils.h NumDimensions(fw_input_to_output_weights_) SizeOfDimension(recurrent_to_input_weights, 1) NumDimensions(recurrent_to_cell_weights) NumDimensions(input_layer_norm_weights) SizeOfDimension(input_layer_norm_weights, 0) layer_norm_weights_all_or_none projClipOperand.length >= sizeof(float) numDims >= 2 checkWeightsShape(inputToCellWeights, inputSize) columns weightsZeroPoint packages/modules/NeuralNetworks/common/operations/Reshape.cpp sample::Device::allocate -- type = Check failed: kBuffer != nullptr [SW][NN_LD_PE]sample::Device::execute [SW][NN_LD_PE]sample::PreparedModel::executeFenced : actual shape = external/boringssl/src/crypto/fipsmodule/bn/exponentiation.c external/boringssl/src/crypto/fipsmodule/bn/shift.c P-256 %s failed. Expected: lib(%u) memory buffer routines HKDF functions *: CompilationBuilder::forTest_failPartitioning can't modify after compilation finished ExecutionBuilder ): Check failed: !mCompilation->hasDynamicTemporaries() Check failed: Cannot fallback to CPU because at least one of the output operands has unknown shape. shapes.size() == 0 || shapes.size() == model->outputCount() ] = UNSPECIFIED POINTER ExecutionCallback::setOnFinish -- "finish" callback is invalid StepModelOutput (operand# else= Check failed: !containsUnknownSize(step->bodyInputOperands) (controller->mSourceOperandToOutputIndex.count(outputOperand)= (controller->mSourceOperandToLocationOfTemporary.count(outputOperand)= outerBuffer->getSize() step->elseBranchOutputOperands.size() Check failed: numCacheFiles <= kMaxNumberOfCacheFiles -- incompatible operand metadata. Using , length = of ANeuralNetworksModel_setOperandValueFromModel setting operand Check failed: TypeManager::get()->getExtensionInfo(prefix, &extension) ANeuralNetworksMemory_createFromDesc passed a nullptr ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed a nullptr kMaxPrefix Check failed: handle != nullptr ashmem_get_size_region DeviceType{ RELU6 TANH LESS_EQUAL MEDIUM Memory{.handle= Request::Argument{.lifetime= <non-null IBuffer> <invalid fd> <non-blob AHardwareBuffer> nameIter == names.end() , verified->size()= (*path)[subgraphIndex] == false Request specifies Model has unknown output rank and request does not specify it. Model has dimension but got preparedModel != nullptr operand.type operand.dimensions[channelQuant.channelDim] type.scale (inputIndexes.size() == 3 || inputIndexes.size() == 2) && outputIndexes.size() == 1 , expected 3 or 2) or output operands ( Unsupported filter tensor type for operation ) for operation IF must have at least 1 output operand.zeroPoint >= 0 && operand.zeroPoint <= 255 must not have SymmPerChannelQuant extraParams context->getNumOutputs() validateInputTypes( context, {inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, OperandType::INT32, OperandType::BOOL, OperandType::BOOL}) 2 getSizeOfDimension(fwHiddenState, 0) getSizeOfDimension(auxInput, 1) getSizeOfDimension(fwAuxWeights, 0) output.scale getNumberOfDimensions(nhwcShape) GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape, &real_multiplier) getNumberOfDimensions(scoreShape) imageInfoDataShape.scale boxInfoBase[2] packages/modules/NeuralNetworks/common/operations/Neg.cpp Input gate bias tensor is present when CIFG is used getSizeOfDimension(cellGateBiasShape, 0) layerNormWeightsAllOrNone scalarType == OperandType::FLOAT16 getNumberOfDimensions(sizeShape) getNumberOfDimensions(hiddenState) subgraphs omitted Index: nanoseconds got Validation failed for IF then model Check failed: helper.isValidSubgraphReference != nullptr paddedHeight % blockSizeData[0] == 0 packages/modules/NeuralNetworks/common/TokenHasher.cpp n_aux_input params->cell_clip >= 0 NumDimensions(output_gate_bias) checkBiasShape(forgetGateBias) checkBiasShape(cellGateBias) SizeOfDimension(input_weights, 1) ManagedBuffer::validateRequest -- using uninitialized buffer as input request. [SW][NN_LD_PIO]sample::Device::execute [NN_LD_PE]sample::PreparedModel::executeFenced internal error ANeuralNetworksMemoryDesc_addOutputRole passed an invalid compilation : Setting with incompatible dimension count (existing = packages/modules/NeuralNetworks/runtime/ExecutionBuilder.h at least one output shape must have been marked !isSufficient state( 0u step model outputs Step# ExecutionPlan::CompoundBody::finish -- step# : , step->outerInputOperands.size()= , step->outerOutputOperands.size()= redefines output operand (getSourceModels().size()= when expecting debug.nn.syncexec-cpu -- the same operand is specified twice. ANeuralNetworksModel_setOperandValueFromModel value model is invalid channelQuant.scales ANeuralNetworksCompilation_createForDevices passed an invalid device set ANeuralNetworksModel_finish passed a nullptr ANeuralNetworksModel_relaxComputationFloat32toFloat16 passed a nullptr ANeuralNetworksEvent_createFromSyncFenceFd passed an invalid fd: b.name packages/modules/NeuralNetworks/common/TypeUtils.cpp SUSTAINED_SPEED DEQUANTIZE CHANNEL_SHUFFLE LOG_SOFTMAX REDUCE_PROD Operation{.type= ERROR memory != nullptr memory.size , subgraphVersionCache->size()= invalid operand dimensions zeroPoint is not zero , expected 23 or 27) or output operands ( Unsupported filter tensor channel dimension for operation (operand.type == OperandType::SUBGRAPH) expected SUBGRAPH with a non-null pointer SUBGRAPH with a non-zero poolIndex numOutputs == kNumOutputs || numOutputs == kNumOutputsMerged || numOutputs == kNumOutputsWithState || numOutputs == kNumOutputsMergedWithState !context->isOmittedInput(requiredInput) getNumberOfDimensions(fwAuxWeights) context->setOutputShape(kBwOutputHiddenStateTensor - delta, context->getInputShape(kBwHiddenStateTensor)) Unsupported auxiliary tensors configuration for BIDIRECTIONAL_SEQUENCE_RNN. Unsupported value type for fill op. bias.type == input.type getNumberOfDimensions(scoreShape) == 2 getNumberOfDimensions(batchesShape) == 1 getSizeOfDimension(roiShape, 1) == kRoiDim * numClasses getSizeOfDimension(deltasShape, 1) context->getInputValue<float>(kScaleWScalar) roi[2] boxInfoLength Unsupported tensor type for operation AVERAGE_POOL_2D getSizeOfDimension(outputGateBiasShape, 0) Unsupported tensor type for operation REDUCE_PROD inWidth roiAlignQuantNhwc<T_Input>( input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, heightSamplingRatio, widthSamplingRatio, output.getNhwcBuffer(), output.getNhwcShape()) hRoiEnd <= inHeight wRoiEnd getSizeOfDimension(beginShape, 0) getSizeOfDimension(inputShape, i) beginShape.type == OperandType::TENSOR_INT32 getNumberOfDimensions(permShape) getSizeOfDimension(context->getInputShape(3), 0) Completed run normally poolIndex helper.isValidSubgraphReference(bodyModelOperand) (origOperandIndexToSlicedIndex->count(origOperandIndex)= q_fixed <= (1ll << 31) static_cast<int32_t>(filterHeight) for packages/modules/NeuralNetworks/common/operations/ArgMinMax.cpp NumDimensions(fw_aux_input_to_cell_weights_) packages/modules/NeuralNetworks/common/operations/LSHProjection.cpp packages/modules/NeuralNetworks/common/operations/LSTM.cpp NumDimensions(cell_to_input_weights) stateIntegerBits == 4 packages/modules/NeuralNetworks/common/operations/SimpleMath.cpp Check failed: operationResolver != nullptr executeFenced timingSinceLaunch = 3DES Decryption KAT CTR-DRBG failed. TLS KDF KAT error:%08x:%s:OPENSSL_internal:%s packages/modules/NeuralNetworks/runtime/CompilationBuilder.cpp ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed an invalid compilation ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed an invalid output index ANeuralNetworksExecution_setOutputFromMemory called after the execution has started. ANeuralNetworksExecution_setMeasureTiming called after the execution has started. Check failed: executor->areDynamicTemporariesAllocated() cpuFallbackPartial output shapes vector must be empty but has length : while cond= Check failed: !containsUnknownSize(step->condInputOperands) ExecutionPlan::Controller failed to allocate temporaries ExecutionPlan::fallback( ExecutionPlan::next( , mainModel->inputCount()= packages/modules/NeuralNetworks/common/include/LegacyUtils.h step->thenBranchInputOperands.size() IDevice::getSupportedOperations returned a vector of length -- incompatible dimensions. MemoryDescriptor end non-zero offset ( (offset: ), minimum length expected: is buffer which has operand type that is not fully specified trailing inputs. ANeuralNetworksBurst_create passed a nullptr ANeuralNetworksModel_setOperandValueFromModel passed a nullptr ANeuralNetworksExecution_setOutputFromMemory passed a nullptr ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed a nullptr Cannot find operand type packages/modules/NeuralNetworks/common/DynamicCLDeps.cpp countNumberOfConsumers: tried to access out-of-bounds operand ( ExecutionPreference{ TENSOR_BOOL8 SLICE RESIZE_NEAREST_NEIGHBOR OutputShape{.dimensions= MemoryPreference{.alignment= CURRENT_RUNTIME <AHardwareBuffer blob> Failed to create OperandPerformanceTable: Input must be sorted by key (in ascending order), and there must be no duplicate keys memory.fd.ok() Request inputIndexes.size() , expected 4) for operation inputIndexes.size() == 15 && outputIndexes.size() == 2 inputOperand.dimensions.empty() || outputOperand.dimensions.empty() || getNumberOfElements(outputOperand.dimensions) == 0 || inputOperand.dimensions == outputOperand.dimensions modelOperand.type b.scale getSizeOfDimension(fwRecurrentWeights, 1) getSizeOfDimension(fwAuxWeights, 1) Unsupported fused activation function type QuantizeMultiplierSmallerThanOneExp(real_output_multiplier, &output_multiplier, &output_shift) getSizeOfDimension(input0, d) Unsupported input spec for operation padding_bottom input.initialize(inputData, inputShape) packages/modules/NeuralNetworks/common/operations/Fill.cpp weights.type == input.type axisSize getNumberOfDimensions(batchesShape) getSizeOfDimension(bboxDeltasShape, useNchw ? 2 : 1) context->setOutputShape(kOutputRoiTensor, roiOutShape) generateProposalsFloat32Compute( score_float32.data(), scoresShape, delta_float32.data(), bboxDeltasShape, anchors_float32.data(), anchorsShape, imageInfo_float32.data(), imageInfoShape, heightStride, widthStride, preNmsTopN, postNmsTopN, iouThreshold, minSize, useNchw, &scoresOut_float32, &roiOut_float32, &batchesOut) convertNchwToNhwc(heatmap, heatmapShape, &heatmap_nhwc, &heatmapShape_nhwc) Unsupported tensor type for operation MAX_POOL_2D validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL}) handleNegativeAxis(inputRank, &axis) strideWidth mReferencedSubgraphs->size() WHILE failed. [label= -> d IndexedShapeWrapper has a different number of dimensions from shape: -1 Check failed: !overflow The driver returned OutputShapes when it shouldn't. Validation failed for IF else model origOperandIndexToSlicedIndex noncompliant output processing created origOperandIndexToSlicedIndex compliant output created OrigOperandToSlicedInputOperandIndex::getIndex looked for , kSlicedVersion= getNumberOfDimensions(blockSizeShape) == 1 TokenHasher timeMajorOperand.length >= sizeof(bool) n_bw_cell SizeOfDimension(bw_aux_input_to_input_weights_, 1) SizeOfDimension(weight, 0) mTokenToBuffers.size() Check failed: mTokenToBuffers[index] != nullptr external/boringssl/src/crypto/fipsmodule/bn/mul.c external/boringssl/src/crypto/fipsmodule/ec/ec_montgomery.c external/boringssl/src/crypto/fipsmodule/ec/felem.c NIST P-384 getrandom CompilationBuilder::CompilationBuilder CompilationBuilder::finish with CPU fallback ANeuralNetworksCompilation_setTimeout called on an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed an invalid compilation ANeuralNetworksExecution_create passed an unfinished compilation updateOutputShapes skipping redeclaration for output# : Overriding a fully specified dimension is disallowed add Notified with non-empty output shape vector when error status is neither NONE nor OUTPUT_INSUFFICIENT_SIZE packages/modules/NeuralNetworks/runtime/ExecutionPlan.cpp ): mFallbackNextStepIndex = Unable to read operand step->condInputOperands.size() EMPTY -> Failed to dup the file descriptor Check failed: !maybeToken.has_value() getOutputShapes() called by an unfinished CpuExecutor. Check failed: versionedPreparedModel != nullptr addOutputRole Failed to allocate BLOB mode AHWB: offset != 0 || length != 0 offset == 0 && length == 0 NOT_NULLPTR Setting argument with invalid length: ANeuralNetworksModel_addOperand exceed max operands bytes when needing Copied small value to offset setOperandSymmPerChannelQuantParams invalid operand type Unhandled TailSpec: ANeuralNetworksMemoryDesc_create passed a nullptr ANeuralNetworksMemory_copy passed a nullptr ANeuralNetworksCompilation_setTimeout passed a nullptr Can't lock the AHardwareBuffer. Error: UINT32 TENSOR_QUANT8_ASYMM DEPTH_TO_SPACE REDUCE_ANY REDUCE_MAX SPLIT WHILE POOL , .operandTypes= DataLocation{.pointer= , .scale= BufferRole{.modelIndex= Check failed: path != nullptr input bufferRole.probability Model has unknown input rank but the request does not specify the rank. channelQuant.channelDim scale is not zero != bodyModelInputCount Unexpected length POINTER with a non-zero poolIndex validateInputTypes(context, {inputType, inputType, OperandType::INT32}) Unsupported tensor type for operation ADD outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex) std::get<Operand::SymmPerChannelQuantParams>( context->getInputExtraParams(kFilterTensor)) .channelDim channels_in param.padding_bottom QuantizeMultiplier(real_multiplier, &output_multiplier, &exponent) depthwiseConvNhwc(unsignedInput.data(), inputShape, unsignedFilter.data(), filterShape, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, depthMultiplier, activation, unsignedOutput.data(), outputShape) Unsupported input operand type for DEQUANTIZE op: QuantizeMultiplier(realMultiplier, &outputMultiplier, &outputShift) packages/modules/NeuralNetworks/common/operations/GenerateProposals.cpp kRoiDim context->setOutputShape(kOutputKeypointTensor, outputKeypoint) boxInfoBase[1] heatmapMaxKeypointFloat32( heatmap_float32.data(), heatmapShape, boxes_float32.data(), boxesShape, layout, outputScore_float32.data(), outputScoreShape, outputKeypoint_float32.data(), outputKeypointShape, fpAtol, fpRtol) packages/modules/NeuralNetworks/common/operations/PRelu.cpp QuantizeMultiplier(recurrentToCellEffectiveScale, &recurrentToCellEffectiveScaleA, &recurrentToCellEffectiveScaleB) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToForgetWeightsBuffer, inputToForgetWeightsShape, nullptr, &inputToForgetEffectiveBias) outputType == OperandType::TENSOR_QUANT8_ASYMM || outputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED timeMajor == 0 || timeMajor == 1 packages/modules/NeuralNetworks/common/CpuExecutor.cpp Check failed: to.buffer == nullptr Unsupported data type Invalid scale for model output Invalid zeroPoint for model output [shape=box Check failed: !nonExtensionOperandTypeIsScalar(type) validateBranchOperand(operands[inputs[op::kThenModelOperand]]) -> Check failed: operand.lifetime == Operand::LifeTime::SUBGRAPH_INPUT || operand.lifetime == Operand::LifeTime::SUBGRAPH_OUTPUT || operand.lifetime == Operand::LifeTime::TEMPORARY_VARIABLE Check failed: firstAxisInclusive <= lastAxisExclusive getNumberOfDimensions(paddingsShape) == 2 NumDimensions(fw_aux_input_to_forget_weights_) SizeOfDimension(input_gate_bias, 0) cellClipOperand.length >= sizeof(float) baseShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &baseFlatIndex) biasZeroPoint BufferTracker::add -- new token = BufferTracker::free -- release token = SampleBuffer::copyFrom -- unable to map src memory. external/boringssl/src/crypto/fipsmodule/ec/ec_key.c external/boringssl/src/crypto/fipsmodule/ec/scalar.c external/boringssl/src/crypto/fipsmodule/rsa/padding.c external/boringssl/src/crypto/fipsmodule/rsa/rsa.c FFC DH OPENSSL_ia32cap ANeuralNetworksCompilation_setPreference can't modify after compilation finished Check failed: mPlan->isCompound() ANeuralNetworksExecution_setMeasureTiming called on ANeuralNetworksExecution_enableInputAndOutputPadding called after an input or output is set. OUTPUT_INSUFFICIENT_SIZE: Check failed: mState != State::PREPARATION dynamicTemporaries == nullptr input std::all_of(shapes.begin(), shapes.end(), [](const OutputShape& shape) { return shape.isSufficient; }) Source operand (branchOutputOperands.size()= (step->bodyOutputOperands.size()= innerBuffer->getSize() mSteps.size() (lifetime= failed! **computeFenced failed** CpuPreparedModel::executeFenced wait for sync fences to signal before execution open or create packages/modules/NeuralNetworks/common/include/CpuExecutor.h MemoryBuilder::allocate -- fallback to BLOB mode AHWB. using an uninitialized memory as input compilation != nullptr type.dimensions operand.lifetime ANeuralNetworksModel_finish called on invalid model: ANeuralNetworksMemoryDesc_finish passed a nullptr ANeuralNetworksCompilation_setPriority passed a nullptr Check failed: (multiple & (multiple - 1)) == 0 LOW_POWER FLOOR RELU1 TRANSPOSE LOGICAL_AND PRELU REDUCE_ALL , .timeInDriver= , .zeroPoint= iter == sortedIndexes.end() isOutput && allowUnspecifiedOutput requestArgument.location.length !isNonExtensionScalar(opType) || dimensions.empty() invalid scaleArray[ Incompatible dimensions std::holds_alternative<Operand::NoParams>(operand.extraParams) Unsupported input operand type for UNIDIRECTIONAL_SEQUENCE_RNN op: 1 getSizeOfDimension(bwRecurrentWeights, 1) getNumberOfDimensions(input1) Error converting a non-4-D tensor to NHWC layout inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED || inputType == OperandType::TENSOR_QUANT8_SYMM || inputType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL inputIndex getNumberOfDimensions(roiShape) getNumberOfDimensions(imageInfoShape) imageInfoShape.offset getNumberOfDimensions(deltasShape) BBoxTransform step failed in GENERATE_PROPOSALS op. getSizeOfDimension(recurrentToForgetShape, 0) QuantizeMultiplier(forgetLayerNormShape.scale, &forgetLayerNormScaleA, &forgetLayerNormScaleB) Unsupported tensor type for operation REDUCE_SUM heightScale !context->isOmittedInput(kInputTensor) inputShape.dimensions.back() filterHeight outHeight Unknown memory token CpuExecutor::initializeRunTimeInfo innerOperand.length Insufficient size for model operand: require = Check failed: !isExtensionOperandType(type) invalid OperandType: The given inputs and outputs for operation operand.type == OperandType::TENSOR_BOOL8 } is only supported since Calling finish on an token in error state SizeOfDimension(bw_aux_input_to_input_weights_, 0) dimsA[0] NumDimensions(recurrent_to_input_weights) SizeOfDimension(prevOutput, 0) NumDimensions(prevCellState) executeFenced( external/boringssl/src/crypto/fipsmodule/bn/add.c reason(%u) %lu:%s:%s:%d:%s %llu Cannot fall back to CPU because of an OEM operation called on a non-reusable execution that has already completed SimpleExecutionBuilder::computeInternal SimpleExecutionBuilder::computeFencedInternal { .updatedDynamicTemporary = DynamicTemporaries::declare(sourceOperandIndex = initialLength model outputs ExecutionStep::finishStepModel, compilation on : goto Unexpected operand memory state: Unknown step variant : evaluating body controller->mSourceOperandToLocationOfTemporary.count(outputOperand) != mReferencedModels.size() enqueueOnAppropriateDevice getSupportedOperations failed with code IPreparedModel DriverExecution::computeFenced completed Check failed: cacheDir.empty() || cacheDir.back() == '/' metadata.logicalSize == 0 || metadata.logicalSize == TypeManager::get()->getSizeOfData(kOperand.type, combined.value()) channelQuant.scaleCount data ANeuralNetworksModel_addOperation invalid operation type Check failed: runOrder.size() < mOperations.size() ANeuralNetworksModel_getSupportedOperationsForDevices passed an unfinished or invalid Model ANeuralNetworksMemoryDesc_addOutputRole passed a nullptr ANeuralNetworksExecution_free passed an in-flight ANeuralNetworksExecution ANeuralNetworksExecution_setInputFromMemory passed a nullptr ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed a nullptr ANeuralNetworksExecution_setReusable passed a nullptr Size of extension operand data is unknown TENSOR_QUANT8_SYMM_PER_CHANNEL MEAN STRIDED_SLICE LOGICAL_OR PAD_V2 Priority{ Operand::ExtraParams{ <mutable , .fd= packages/modules/NeuralNetworks/common/Types.cpp Check failed: subgraphVersionCache != nullptr timing.timeOnDevice.value() <= timing.timeInDriver.value() std::all_of(handle.fds.begin(), handle.fds.end(), [](const base::unique_fd& fd) { return fd.ok(); }) !preparedModels.empty() ANeuralNetworksModel_addOperation outputs inputIndexes.size() == 1 && outputIndexes.size() == 1 b.dimensions.size() std::holds_alternative<Operand::SymmPerChannelQuantParams>(operand.extraParams) getSizeOfDimension(fwWeights, 1) getSizeOfDimension(bwHiddenState, 1) Unsupported tensor type for operation DIV param.depth_multiplier * channels_in == channels_out Unsupported tensor type for elementwise operation packages/modules/NeuralNetworks/common/operations/FullyConnected.cpp input_n_elements getSizeOfDimension(bboxDeltasShape, 0) roiShape.offset boxInfoBase[0] inputCount == 11 || inputCount == 10 || inputCount == 8 || inputCount == 7 getNumberOfDimensions(recurrentToOutputShape) getNumberOfDimensions(projectionShape) QuantizeMultiplier(hiddenStateEffectiveScale, &hiddenStateEffectiveScaleA, &hiddenStateEffectiveScaleB) inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT16_SYMM || inputType == OperandType::TENSOR_BOOL8 || inputType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || inputType == OperandType::TENSOR_QUANT16_ASYMM || inputType == OperandType::TENSOR_QUANT8_SYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED Unsupported operation scalarType == OperandType::FLOAT32 packages/modules/NeuralNetworks/common/operations/Select.cpp packages/modules/NeuralNetworks/common/operations/Slice.cpp n_dims > 0 !context->isOmittedOutput(kOutputTensor) getNumberOfDimensions(stridesShape) == 1 getSizeOfDimension(endShape, 0) == numInputDims packages/modules/NeuralNetworks/common/operations/UnidirectionalSequenceRNN.cpp (indexes.size()= CpuExecutor::executeWhileOperation: timed out after Invalid dimensions for model operand: Check failed: index < operation->inputs.size() label=" mapped to ANEURALNETWORKS_OP_FAILED double_multiplier < 1. *left_shift <= 0 in1.type == in2.type First tensor: dimension IsNullInput(fw_aux_input_to_input_weights_) && IsNullInput(bw_aux_input_to_input_weights_) NumDimensions(bw_aux_input_to_output_weights_) SizeOfDimension(recurrent_to_cell_weights, 1) peephole_weights_all_or_none SizeOfDimension(projection_bias, 0) activationOperand.length >= sizeof(int) ManagedBuffer::validateRequest -- using the same device memory for input/output or multiple outputs external/boringssl/src/crypto/fipsmodule/dh/dh.c external/boringssl/src/crypto/fipsmodule/rsa/rsa_impl.c AES-CBC Decryption KAT off SL_ANeuralNetworksCompilation_setCachingFromFds can't duplicate data cache fds: ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed an unfinished compilation ANeuralNetworksExecution_setTimeout called after the execution has started. mOutputs.size() validateOutputShapesFromDriver(executionResultCode, mModel, from) <= sourceOperandIndex = ( output# packages/modules/NeuralNetworks/runtime/ModelBuilder.h (stepIndex= sourceOperand.lifetime prepareModelFromCache failure ( IDevice::prepareModel() error: forTest_makeDriverDevice( Data type: memory size cannot be implied. cannot use Non-BLOB AHardwareBuffer as model constant Invalid state: packages/modules/NeuralNetworks/runtime/ModelBuilder.cpp is not registered ANeuralNetworksModel_setOperandValueFromModel value model must be finished outputs because of boundary operands of unknown size ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed a nullptr TENSOR_QUANT8_ASYMM_SIGNED TEMPORARY_VARIABLE SVDF CAST EXPAND_DIMS Capabilities::PerformanceInfo{.execTime= Extension{.name= ANDROID_S handle != nullptr operandValueKnown[k] expected a size of channel dimension Invalid number of input operands ( Unsupported data type for operation WHILE must have at least 3 inputs size.value() operand.zeroPoint >= 0 && operand.zeroPoint <= 65535 poolSizes.size() Unsupported tensor type for operation RELU6 is omitted getSizeOfDimension(bwRecurrentWeights, 0) packages/modules/NeuralNetworks/common/operations/Comparisons.cpp validateInputTypes(context, {inputType, inputType}) input.type == input0.type dilation_height_factor activation output.initialize(outputData, outputShape) validateShapes(input, weights, bias) context->setOutputShape(kOutputClassTensor, classesOutShape) packages/modules/NeuralNetworks/common/operations/InstanceNormalization.cpp packages/modules/NeuralNetworks/common/operations/Pooling.cpp cifgWeightsAllOrNone QuantizeMultiplier(projectionEffectiveScale, &projectionEffectiveScaleA, &projectionEffectiveScaleB) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToCellWeightsBuffer, inputToCellWeightsShape, nullptr, &inputToCellEffectiveBias) Unsupported output operand type for QUANTIZE op: outputHeight roiInfo[1] * heightScale <= inHeight heightStride beginData[i] beta GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape, &realMultiplier) x outputs, Check failed: helper.getSubgraphInputOperand != nullptr -numberOfDimensions <= *axis && *axis < numberOfDimensions Unsupported fused activation function. NumDimensions(bw_aux_input_to_input_weights_) Unsupported CAST input type SizeOfDimension(hash, 1) <= 32 NumDimensions(input_to_input_weights) IsNullInput(input_layer_norm_weights) NumInputsWithValues(operation, operands) >= 15 && NumInputsWithValues(operation, operands) <= 27 baseShape.type == exponentShape.type checkBiasShape(outputGateBias) prevCellState->zeroPoint num_inputs == 6 prepareModelFromCache not supported on sample::Device::prepareModelFromCache( Check failed: srcPool.getSize() == dstPool.getSize() Check failed: kPreparedModel != nullptr entropy fill failed TLS KDF failed. function should not have been called ENGINE routines ANeuralNetworksCompilation_finish called more than once ANeuralNetworksCompilation_setTimeout can't modify after compilation finished ANeuralNetworksBurst_create passed an unfinished compilation ANeuralNetworksExecution_getOutputOperandRank called before the execution has finished. updateOutputShapes.zeroSizedInput updateOutputShapes checking to see if output# , dynamicTemporaries == nullptr= (index= ( ModelBuilder::partitionTheWork: only one best device: No driver can do operation Check failed: kMemory != nullptr Scale: Output roles [ Invalid state: UNSPECIFIED not null OEM_OPERATION is deprecated. Use Extensions instead. ANeuralNetworksModel_identifyInputsAndOutputs outputs ANeuralNetworksEvent_wait passed a nullptr Cannot map ashmem memory is not a power of two TENSOR_QUANT16_SYMM RESHAPE GENERAL_FAILURE , .ifPerformance= Model::Subgraph{.operands= Invalid DeviceStatus Invalid ExecutionPreference Model input or output occurs multiple times: optionalTimePoint->time_since_epoch().count() , expected 3) for IF then model For operand Invalid Operand::LifeTime !operand.dimensions.empty() with a non-positive value in scales[ kNumOutputs Unsupported tensor type for operation getNumberOfDimensions(input) getSizeOfDimension(bwBias, 0) getSizeOfDimension(bwAuxWeights, 0) shape.dimensions.size() Provided only one dilation factor value, two values are requred for operation width param.padding_top padding_right Unsupported tensor type for operation FLOOR validateOutputTypes(context, {outputType}) input_size * batch_size context->getInputValue<float>(kScoreThresholdScalar) context->getInputValue<_Float16>(kScaleHScalar) > 0 generateProposalsFloat32Compute( scoresData, scoresShape, bboxDeltasData, bboxDeltasShape, anchorsData, anchorsShape, imageInfoData, imageInfoShape, heightStride, widthStride, preNmsTopN, postNmsTopN, iouThreshold, minSize, useNchw, &scoresOut_float32, &roiOut_float32, &batchesOut) heatmapSize getNumberOfDimensions(cellToOutputShape) hasTensor(context, kInputGateBiasTensor) getSizeOfDimension(forgetLayerNormShape, 0) !halfPixelCenters || (halfPixelCenters && !alignCorners) SameShape(input1, input2) getSizeOfDimension(stridesShape, 0) == numInputDims packages/modules/NeuralNetworks/common/operations/TopK_V2.cpp inputCount == kNumInputs1 || inputCount == kNumInputs2 outWidth validateInputTypes(context, {inputType, inputType, inputType, inputType, inputType, OperandType::INT32, OperandType::INT32}) validateNoQuantParams(type, tag) width % blockSize == 0 getNumberOfDimensions(keyShape) == 1 getLinkingMode(has_aux_input, has_fw_aux_weights, &linkingMode) dimsB.size() SizeOfDimension(output_gate_bias, 0) SizeOfDimension(projection_weights, 0) NumDimensions(input_) > 1 Failed to allocate tempSumBuffer for MEAN RSA signing test failed. Z Computation Result Z Computation KAT failed. public key routines OPENSSLDIR: n/a ms ANDROID_LOG_TAGS ro. CompilationBuilder ANeuralNetworksMemoryDesc_addInputRole passed an invalid input index ANeuralNetworksExecution_getDuration called on an execution that has encountered an error. ANeuralNetworksExecution_getOutputOperandDimensions can not query dimensions of a scalar toIndex Check failed: mDevice != nullptr output# packages/modules/NeuralNetworks/runtime/ExecutionCallback.cpp ExecutionCallback::setOnFinish -- ExecutionCallback has already been notified with results Previous error occurred when partitioning the graph Check failed: stepModelOutputIndex < mModelOutputs.size() temps as step model outputs Check failed: mState == COMPOUND mapping input Cannot set step model input operand Cannot set step model output operand , newDimensions = open ANeuralNetworksModel_setOperandValue setting ANeuralNetworksDevice_getVersion passed a nullptr ANeuralNetworksCompilation_createForDevices passed a nullptr ANeuralNetworksMemoryDesc_addInputRole passed a nullptr ANeuralNetworksModel_setOperandValue passed a nullptr and is therefore ignored ANeuralNetworksExecution_getOutputOperandDimensions passed a nullptr ANeuralNetworksModel_getExtensionOperandType passed a nullptr SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation passed a vendorExtensionIndex that is out of range , ErrorStatus::NONE= prefix it != extension->operandTypes.end() && static_cast<uint16_t>(it->type) == typeWithinExtension GPU TENSOR_QUANT16_ASYMM RESIZE_BILINEAR SOFTMAX MAXIMUM NEG MISSED_DEADLINE_TRANSIENT bytes>} Model::ExtensionNameAndPrefix{.name= , .operandValues= Request::MemoryPool{ SyncFence::FenceState{ non-null pointer> output requestArgumentCount kMaxSize , operandCount inputIndexes.size() == 7 && outputIndexes.size() == 2 ) or output operands ( outExpectedInTypes.size() subgraphs.size() a.dimensions[i] operand.zeroPoint >= -128 && operand.zeroPoint <= 127 , kNumberOfOperationTypes= Unsupported tensor type for operation TANH getNumberOfDimensions(nchwShape) depthwiseConvQuant8PerChannelNhwc( input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, depthMultiplier, activation, output.getNhwcBuffer(), output.getNhwcShape()) getSizeOfDimension(bboxDeltasShape, 1) boxesShape.scale handleNegativeAxis(inputShape, &axis) getNumberOfDimensions(recurrentToForgetShape) packages/modules/NeuralNetworks/common/operations/Rank.cpp outputWidth roiInfo[1] >= 0 Unsupported tensor type for STRIDED_SLICE op. getSizeOfDimension(hiddenState, 1) CpuExecutor::run() with request( Cannot allocate a variable of an extension type validateQuant16AsymmParams(type, tag) validateCondOperand(operands[inputs[op::kCondModelOperand]]) Check failed: !"tableLookup: bad code" , size_t(0)= getSizeOfDimension(blockSizeShape, 0) == 2 current >= 0 && current < numInputDims (1 << 29) projOperand.length >= sizeof(_Float16) SizeOfDimension(fw_recurrent_to_output_weights_, 0) dimsA[1] NumDimensions(weight) cifg_weights_all_or_none SizeOfDimension(cell_to_forget_weights, 0) exponentShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &exponentFlatIndex) weightsScale bias->zeroPoint sample::Device::allocate -- successfully allocates the requested memory Check failed: std::holds_alternative<Request::MemoryDomainToken>(request.pools[poolIndex]) ManagedBuffer::validateCopyTo -- using uninitialized buffer as source. SHA-256 KAT NIST P-521 object identifier routines nullptr %s%s%.*s SL_ANeuralNetworksCompilation_setCachingFromFds can't duplicate model cache fds: ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed an invalid input index ANeuralNetworksExecution_create passed an invalid compilation Performing full fallback on the CPU. ExecutionBuilder::compute (synchronous API, burst) , output shapes vector must be of length , POINTER= , offset = , 0u= Check failed: !containsUnknownSize(step->elseBranchOutputOperands) mapping output (mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand)= Device Check failed: lifetime == Operand::LifeTime::TEMPORARY_VARIABLE || lifetime == Operand::LifeTime::SUBGRAPH_OUTPUT **executeFenced failed** sync wait failed, fd: ANeuralNetworksMemoryDesc_setDimensions -- incompatible dimensions. service = ModelBuilder ANeuralNetworksModel_setOperandExtensionData Extension operation type ANeuralNetworksModel_identifyInputsAndOutputs inputs } has trailing optional inputs set to default values. Removing ANeuralNetworksExecution_getDuration passed a bad durationCode ANeuralNetworksBurst and ANeuralNetworksExecution used in ANeuralNetworksExecution_burstCompute must originate from the same ANeuralNetworksCompilation ErrorStatus::NONE , which is therefore disabled getExtensionPrefix(extensionName, &prefix) packages/modules/NeuralNetworks/common/SharedMemoryAndroid.cpp ASharedMemory_create FAST_SINGLE_ANSWER ACCELERATOR Extension OperandType HASHTABLE_LOOKUP HEATMAP_MAX_KEYPOINT Request::Argument::LifeTime{ , .powerUsage= HAL uses unstable AIDL 0.0f Extension has duplicate type ExtensionNamesAndPrefixes has duplicate type for output RequestArgument location.padding operandIndexes.size() operand.scale inputIndexes.size() == 2 && outputIndexes.size() == 1 4u operands[outputIndexes[i]].type for IF else model a.dimensions.size() a.extraParams condModelOutputCount (operand.lifetime == Operand::LifeTime::SUBGRAPH) with a non-zero scale ( with a wrong-sized scales, expected SUBGRAPH with a non-zero length Unsupported tensor type for operation ELU packages/modules/NeuralNetworks/common/operations/ChannelShuffle.cpp numGroups > 0 validateInputTypes(context, inExpectedTypes) Conv size is too large, not enough memory packages/modules/NeuralNetworks/common/operations/DepthwiseConv2D.cpp validateInputTypes(context, {inputType, scalarType}) getNumberOfDimensions(dimsShape) numClasses getNumberOfDimensions(recurrentToCellShape) getNumberOfDimensions(cellToForgetShape) getSizeOfDimension(projectionShape, 1) PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToCellWeightsBuffer, recurrentToCellWeightsShape, nullptr, &recurrentToCellEffectiveBias) Unsupported input operand type for QUANTIZE op: Unsupported scalar type for operation roiInfo[0] * widthScale <= inWidth strideHeight packages/modules/NeuralNetworks/common/operations/UnidirectionalSequenceLSTM.cpp , provided = output operand currentIndex < currentDimSize || currentDimSize == 1 , -1= getSizeOfDimension(filter, 3) * numGroups == getSizeOfDimension(input, 3) cellOperand.length >= sizeof(float) NumDimensions(hash) SizeOfDimension(input, 0) SizeOfDimension(input_to_forget_weights, 1) checkWeightsShape(recurrentToInputWeights, outputSize) SizeOfDimension(weights, 0) weights->zeroPoint JUST_AN_EXAMPLE executeFenced timingAfterFence = external/boringssl/src/crypto/fipsmodule/bn/gcd_extra.c RSA Verify KAT failed. ECDSA R system/libbase/logging.cpp unsupported ' ANeuralNetworksCompilation_setCaching can't modify after compilation finished ANeuralNetworksMemoryDesc_addInputRole passed an unfinished compilation duration: looking for next StepExecutor startCompute Check failed: mState != State::COMPLETED mOperands.size() , MEMORY= With execution ErrorStatus ) dim DynamicTemporaries: " ExecutionPlan::CompoundeBody::finish: simulating failure, ResultCode mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand) Check failed: mBody getSourceModels().size() Operand::LifeTime::TEMPORARY_VARIABLE step->thenBranchOutputOperands.size() (step->thenBranchOutputOperands.size()= Invalid Model: ANeuralNetworksMemory_copy failure: can't modify after finished MemoryBuilder::allocate -- fallback to ashmem. ANeuralNetworksMemory_copy -- incompatible memories Dimensions: incompatible input dimensions between request and memory. (request: can't modify after model finished setting per-channel quantization parameters for operand values. setOperandValueFromMemory ModelBuilder::finish , inputCount= Operation ANeuralNetworksExecution_startComputeWithDependencies passed a nullptr Devices TENSOR_FLOAT32 CONSTANT_COPY SPACE_TO_DEPTH LESS Capabilities::OperandPerformance{.type= Request{.inputs= Model contains a circular subgraph reference location.offset optionalTimeoutDuration->count() operand.extraParams invalid dimensions with scalar operand type. inputIndexes.size() == 4 && outputIndexes.size() == 1 (inputIndexes.size() == 4 || inputIndexes.size() == 3) && outputIndexes.size() == 1 3u WHILE must have at least 1 output with a non-positive scale poolSizes[location.poolIndex] Subgraph index out of range: packages/modules/NeuralNetworks/common/OperationResolver.cpp Check failed: mRegistrations[index] == nullptr Check failed: output != nullptr outputShapeIndexed.indexToFlatIndex(curIndex, &outputFlatIndex) aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex) std::binary_search(std::begin(kNumInputsArray), std::end(kNumInputsArray), numInputs) bias.type == OperandType::TENSOR_INT32 param.padding_right convNhwc(unsignedInput.data(), inputShape, unsignedFilter.data(), filterShape, biasData, biasShape, padding_left, padding_right, padding_top, padding_bottom, stride_width, stride_height, dilation_width_factor, dilation_height_factor, activation, unsignedOutput.data(), outputShape) input_size validateInputTypes(context, {inputType, OperandType::INT32, OperandType::TENSOR_INT32}) getNumberOfDimensions(imageInfoDataShape) maxClassesPerDetection roi[0] delta_nhwc.initialize(bboxDeltasData, bboxDeltasShape) getSizeOfDimension(cellToForgetShape, 0) getSizeOfDimension(cellLayerNormShape, 0) QuantizeMultiplier(cellToInputEffectiveScale, &cellToInputEffectiveScaleA, &cellToInputEffectiveScaleB) Unsupported tensor type for operation REDUCE_MAX Unsupported tensor type for operation REDUCE_ALL roiInfo[0] >= 0 packages/modules/NeuralNetworks/common/operations/Squeeze.cpp paddingTop in ordering=in GraphDump index.size() >= strides.size() Unknown ErrorStatus QuantizeMultiplier(double_multiplier, quantized_multiplier, left_shift) Invalid SizeOfDimension(fw_aux_input_to_output_weights_, 0) packages/modules/NeuralNetworks/common/operations/MaximumMinimum.cpp packages/modules/NeuralNetworks/common/operations/Multinomial.cpp NumDimensions(prevOutput) external/boringssl/src/crypto/fipsmodule/digest/digest.c external/boringssl/src/crypto/fipsmodule/ec/ec.c not available ANDROID_FILE__dev_kmsg isUpdatable(mOutputs[i].dimensions(), outputShapes[i].dimensions) memory->getValidator().updateMetadata({.dimensions = output.dimensions()}) paddedLength overflow ) , mOperands.size()= shape unexpectedly has zero rank Notified with empty output shape vector when OUTPUT_INSUFFICIENT_SIZE , paddedLength = Check failed: mDeclared Check failed: it != mOutputIndexStepModelToMainModel.end() defines dynamic temporaries but is scheduled on pre-1.2 device Check failed: !containsUnknownSize(step->thenBranchOutputOperands) Check failed: !containsUnknownSize(step->bodyOutputOperands) , step->condInputOperands.size()= : exiting loop ) = Cannot map step output ) failed DriverPreparedModel::execute completed Unable to dup the file descriptor DriverPreparedModel::executeFenced completed Check failed: mFinished nullptr IBuffer for device memory. Extra params: non-zero offset and/or length for driver-allocated memory. isTensor || type->dimensionCount == 0 mInitialized type.dimensionCount setting extension data for a base operand type (count= ANeuralNetworksModel_identifyInputsAndOutputs Can't set operand ANeuralNetworksModel_addOperand passed a nullptr Check failed: kExecutionCallback != nullptr TypeManager and mPrefixToExtension.size() Failed to dup the fd , .operandPerformance= , .isTensor= Model::OperandValues{< ACTIVE Version{ HAL version 1.1 , path->size()= has lifetime of Two or more extensions have the duplicate name different than the model's outputIndexes.size() operand.zeroPoint extensionOperandTypeInfo == nullptr invalid scale invalid operand index at op::kFirstInput + branchModelInputCount branchModelOutputCount Invalid subgraph reference with a negative scale without a Channel Quantization params with an invalid channelQuant.channelDim incorrect scale / offset for output context->setOutputShape(kBwOutputTensor, bwOutput) QuantizeMultiplierSmallerThanOneExp(real_multiplier, &output_multiplier, &output_shift) getNumberOfDimensions(inputShape) Unsupported tensor type for comparison getNumberOfDimensions(filter) QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent) SetShape(input, &output) validateShapes(input, weights, bias, &output) getSizeOfDimension(batchesShape, 0) == numRois getSizeOfDimension(bboxDeltasShape, useNchw ? 3 : 2) lengthBoxEncoding roiBase[1] getSizeOfDimension(recurrentToCellShape, 1) widthSamplingRatio wRoiEnd <= inWidth packages/modules/NeuralNetworks/common/operations/TransposeConv2D.cpp ConvTranspose size is too large, not enough memory getSizeOfDimension(weights, 1) out of the range [0, validCode(kNumberOfDataTypes, kNumberOfDataTypesOEM, type.type) are only supported in Check failed: helper.getSubgraphOutputCount != nullptr OperationsUtils batches % (blockSizeData[0] * blockSizeData[1]) == 0 getNumberOfDimensions(bias) == 1 SizeOfDimension(input_to_forget_weights, 0) bias->scale ManagedBuffer::validateCopyFrom -- the initial dimensions are not fully specified and no dimension update is provided: Check failed: bufferWrapper != nullptr P-521 AES-GCM Encryption KAT DBRG Generate KAT %s: getrandom indicates that the entropy pool has not been initialized. Rather than continue with poor entropy, this process will block until entropy is available. %s%s Fenced execution callback failed: indexMapping.size() (i= packages/modules/NeuralNetworks/runtime/Memory.h Check failed: mValidator != nullptr ANeuralNetworksExecution starts compute when not all outputs specified shapes.size() == model->outputCount() Error when copying extra parameters to the operand Check failed: !mSuccessfulFinish , size_t(1)= ModelBuilder::partitionTheWork: source model: Check failed: preparedModel != nullptr (step->elseBranchInputOperands.size()= Manager getCacheHandles failure ( Should never call prepareModel with cache information on CpuDevice Invalid Priority: DriverDevice::wait error: packages/modules/NeuralNetworks/runtime/Memory.cpp !metadata.operand.has_value() || (metadata.operand->type == kOperand.type && metadata.operand->scale == kOperand.scale && metadata.operand->zeroPoint == kOperand.zeroPoint && metadata.operand->extraParams == kOperand.extraParams) model , Operand::LifeTime::CONSTANT_REFERENCE= relaxComputationFloat32toFloat16 ANeuralNetworksExecution_compute passed a nullptr ANeuralNetworksExecution_setMeasureTiming passed a nullptr ANeuralNetworksModel_create passed a nullptr ANeuralNetworksModel_setOperandSymmPerChannelQuantParams passed a nullptr in extension Unable to map non-blob AHardwareBuffer memory NO_VALUE LOGISTIC BIDIRECTIONAL_SEQUENCE_RNN UNIDIRECTIONAL_SEQUENCE_RNN , .padding= , .inputs= , .probability= HAL version 1.3 operandTypeInformation.byteSize input or output index out of range: operandValueKnown[i] std::get<Request::MemoryDomainToken>(memoryPool) != kInvalidMemoryDomainToken of zero role.probability 0 <= type.zeroPoint && type.zeroPoint <= 65535 inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM , expected 1, 2, 5 or 6) for operation -- Operand is not a valid subgraph reference operand.location.length , must be valid dimension index in range [0, std::holds_alternative<Operand::NoParams>(operand.extraParams) || std::holds_alternative<Operand::ExtensionParams>(operand.extraParams) POINTER with a non-zero offset 4 getNumberOfDimensions(fwRecurrentWeights) getNumberOfDimensions(bwBias) bwNumUnits getNumberOfDimensions(bwAuxWeights) getSizeOfDimension(auxInput, 2) packages/modules/NeuralNetworks/common/operations/Broadcast.cpp Unsupported tensor type for operation MUL QuantizeMultiplierSmallerThanOneExp(real_input1_multiplier, &input1_multiplier, &input1_shift) getSizeOfDimension(filter, 0) getNumberOfDimensions(weights) roi[3] score_nhwc.initialize(scoresData, scoresShape) packages/modules/NeuralNetworks/common/operations/HeatmapMaxKeypoint.cpp getSizeOfDimension(inputToInputShape, 0) getSizeOfDimension(inputToForgetShape, 0) Unsupported tensor types combination for QUANTIZE op. (input type: Unsupported tensor type for REDUCE_ANY or REDUCE_ALL packages/modules/NeuralNetworks/common/operations/RoiPooling.cpp Unsupported tensor type for SELECT op. permShape.type == OperandType::TENSOR_INT32 , mModelPoolInfos->size()= Invalid type for model output sizeof(T) , sizeof(T)= [ a.extraParams == b.extraParams getNumberOfDimensions(valueShape) >= 2 SizeOfDimension(fw_aux_input_to_input_weights_, 1) SizeOfDimension(bw_aux_input_to_forget_weights_, 1) n_cell SizeOfDimension(cell_to_output_weights, 0) SizeOfDimension(output_layer_norm_weights, 0) checkWeightsShape(recurrentToForgetWeights, outputSize) NN API ManagedBuffer::updateDimensions -- incompatible dimensions ( packages/modules/NeuralNetworks/driver/sample/CanonicalBuffer.cpp external/boringssl/src/crypto/fipsmodule/ec/wnaf.c passed a null parameter ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed an invalid input index ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed an invalid output index : outputShapes.size() ANeuralNetworksExecution starts compute when not all inputs specified cpuFallbackFull mOutputIndexes.size() (newLength= deviceCount = , mReferencedModels.size()= Failed to ]: Data pointer must be nullptr if and only if length is zero (data = ANeuralNetworksModel_ offset ANeuralNetworks_getDevice passed an invalid device index ANeuralNetworksExecution_setOutput passed a nullptr ANeuralNetworksExecution_startCompute passed a nullptr ANeuralNetworksExecution_setLoopTimeout passed a nullptr SharedMemoryAndroid ASharedMemory_create failed , size= SUBGRAPH LOCAL_RESPONSE_NORMALIZATION LSH_PROJECTION Extension OperationType RESOURCE_EXHAUSTED_TRANSIENT , .relaxedFloat32toFloat16PerformanceTensor= , .prefix= , .relaxComputationFloat32toFloat16= BufferDesc{.dimensions= <invalid MemoryDomainToken> <no time point> path->size() subgraphVersionCache->size() operand std::get<SharedBuffer>(memoryPool) != nullptr memorySize inputIndexes.size() == 6 && outputIndexes.size() == 2 Invalid output tensor type , length Unexpected pointer value for operand of lifetime getNumberOfDimensions(fwWeights) getSizeOfDimension(bwAuxWeights, 1) bShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &bFlatIndex) inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED getSizeOfDimension(input, axis) % numGroups == 0 10 + inputOffset QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent) context->setOutputShape(kOutputRoiTensor, outputRoiShape) imageInfoDataShape.offset context->getInputValue<_Float16>(kScaleYScalar) > 0 radius getSizeOfDimension(inputToInputShape, 1) getSizeOfDimension(cellToOutputShape, 0) getSizeOfDimension(cellStateShape, 0) getSizeOfDimension(outputLayerNormShape, 0) QuantizeMultiplier(cellToForgetEffectiveScale, &cellToForgetEffectiveScaleA, &cellToForgetEffectiveScaleB) QuantizeMultiplier(cellToOutputEffectiveScale, &cellToOutputEffectiveScaleA, &cellToOutputEffectiveScaleB) roiInfo[3] >= 0 widthStride Condition and input tensor dimensions are not equal getNumberOfDimensions(squeezeDimsShape) == 1 , mReferencedSubgraphs->size()= CpuExecutor::executeWhileOperation: condition value: : Invalid number of is 0. packages/modules/NeuralNetworks/common/GraphDump.cpp a.type == b.type Validation failed for WHILE condition model helper.isValidSubgraphReference(condModelOperand) origOperandIndexToSlicedIndex initialization created } and outputs { Check failed: 0 <= dimensionIdx && dimensionIdx < shape.dimensions.size() type == expectedTypes[i] NumDimensions(bw_recurrent_to_output_weights_) has_fw_aux_weights == has_bw_aux_weights aux_input_->shape().dimensions[0] SizeOfDimension(fw_aux_input_to_cell_weights_, 1) checkWeightsShape(recurrentToOutputWeights, outputSize) weights->scale packages/modules/NeuralNetworks/common/operations/Split.cpp sample::Device::allocate -- not enough memory. , mTokenToBuffers.size()= EVP_AEAD_CTX_seal for AES-128-GCM failed. external/boringssl/src/crypto/fipsmodule/ec/p256.c BIO routines %s ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed an invalid compilation ANeuralNetworksExecution_setInput called after the execution has started. ) isUpdatable(to->at(i).dimensions, from[i].dimensions) (mState= , mOutputIndexes.size()= ExecutionCallback::bindThread -- the new thread is not joinable , stepIndex = of source graph) has unknown size: ExecutionPlan::SimpleBody::finish, compilation (buffer->getSize()= Check failed: !"unexpected state" operationCount = DynamicTemporaries::redeclare(sourceOperandIndex = No drivers able to handle sync fences, falling back to regular execution IBurst::createReusableExecution() error: Failed to allocate BLOB mode AHWB. incompatible dimensions between request and memory. (request: addOperation identifyInputsAndOutputs ANeuralNetworksCompilation_create passed an unfinished or invalid model ANeuralNetworksModel_getSupportedOperationsForDevices passed a nullptr ANeuralNetworksCompilation_createForDevices passed a nullptr as a device ANeuralNetworksEvent_createFromSyncFenceFd passed a nullptr SL_ANeuralNetworksDevice_getPerformanceInfo passed a nullptr TypeManager::TypeManager provide inconsistent information for extension OperandType{ AVERAGE_POOL_2D GREATER ROI_POOLING DEVICE_UNAVAILABLE <empty handle> , .ioIndex= ANDROID_OC_MR1 isValidExtensionName(extensionNameAndPrefix.name) syncFence.getFd() model != nullptr operands.front().extraParams operand.dimensions.size() Unsupported input tensor rank for operation inputIndexes.size() == 3 && outputIndexes.size() == 1 Invalid input tensor type size.has_value() has extraParams when there must be none validateOutputTypes(context, {inputType}) Check failed: input != nullptr batchSize 9 + inputOffset input.type == filter.type packages/modules/NeuralNetworks/common/operations/Elementwise.cpp outputType == OperandType::TENSOR_FLOAT16 || outputType == OperandType::TENSOR_FLOAT32 || outputType == OperandType::TENSOR_INT32 getValueType(outputType, &valueType) numRois numAnchors getSizeOfDimension(heatmapShape, layout ? 3 : 1) packages/modules/NeuralNetworks/common/operations/LogSoftmax.cpp numUnits getNumberOfDimensions(inputGateBiasShape) getNumberOfDimensions(forgetLayerNormShape) QuantizeMultiplier(inputToInputEffectiveScale, &inputToInputEffectiveScaleA, &inputToInputEffectiveScaleB) packages/modules/NeuralNetworks/common/operations/RoiAlign.cpp roiInfo[0] <= roiInfo[2] stridesShape.type == OperandType::TENSOR_INT32 stride context->setOutputShape(kStateOutputTensor, outputStateShape) CpuExecutor::executeIfOperation: condition value: outerOperand.length Error converting a non-4-D tensor from NHWC layout \n ordering=out isValid(*index) Utils Extension operand types are not supported validateScalarDimensions(type, tag) ANEURALNETWORKS_IF must have at least 3 inputs slice->mSlicedOperationIndexToOrigIndex.size() (validating using Check failed: lastAxisExclusive <= shape.dimensions.size() *right_shift >= 0 *left_shift >= 0 paddedWidth % blockSizeData[1] == 0 getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0) tensor type cellOperand.length >= sizeof(_Float16) n_input SizeOfDimension(input_to_cell_weights, 1) SizeOfDimension(recurrent_to_forget_weights, 0) NumDimensions(cell_bias) projecton_tensors_consistent == true cellClipOperand.length >= sizeof(_Float16) tflite::CheckedLog2(prevCellState->scale, &stateScaleLog2Rounded) EVP_AEAD_CTX_open for AES-128-GCM failed. failed to get flags from urandom fd RSA routines PKCS7 routines random number generator Trust Token functions 2 r ]v (u u 333333 ? ? o@ ` A ? 0 A _@ > ? 0C MbP? 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3P 34P 4P 35P 5P 36P 6P 47P, 7PD48PU 8Pj49P~ 9P 4:P :P 4;P ;P 4<P <P*5=P@ =PM5>Pc >Pu5?P ?P 5@P @P 5AP AP 5BP BP 6CP CP'6DP> DP;6EPY EPl6FP FP 6GP GP 6HP HP 6IP IP 7JP+ JPK7KP^ KP 7LP LP 7MP MP 7NP NP'8OP> OPM8PP PP`8QPr 2X4 2h 2h 3hB 3hR 4h 4h 2lC 2l 3l 3l( 2t 2tT 3t 2x 2x 3x 3x 4x 4x 5x 5x( 6x> 6xN 7xo 7x 8x 8x 9x 9x :x :x ;x ;x <x- <xD =xY =x >xa >x 2| 2 2 03 3 04 ! 4 ?05 5 06 0 6 s07 7 08 P 8 e09 ASN1_LENGTH_MISMATCH AUX_ERROR BAD_GET_ASN1_OBJECT_CALL BAD_OBJECT_HEADER BAD_TEMPLATE BMPSTRING_IS_WRONG_LENGTH BN_LIB BOOLEAN_IS_WRONG_LENGTH BUFFER_TOO_SMALL CONTEXT_NOT_INITIALISED DECODE_ERROR DEPTH_EXCEEDED DIGEST_AND_KEY_TYPE_NOT_SUPPORTED ENCODE_ERROR ERROR_GETTING_TIME EXPECTING_AN_ASN1_SEQUENCE EXPECTING_AN_INTEGER EXPECTING_AN_OBJECT EXPECTING_A_BOOLEAN EXPECTING_A_TIME EXPLICIT_LENGTH_MISMATCH EXPLICIT_TAG_NOT_CONSTRUCTED FIELD_MISSING FIRST_NUM_TOO_LARGE HEADER_TOO_LONG ILLEGAL_BITSTRING_FORMAT ILLEGAL_BOOLEAN ILLEGAL_CHARACTERS ILLEGAL_FORMAT ILLEGAL_HEX ILLEGAL_IMPLICIT_TAG ILLEGAL_INTEGER ILLEGAL_NESTED_TAGGING ILLEGAL_NULL ILLEGAL_NULL_VALUE ILLEGAL_OBJECT ILLEGAL_OPTIONAL_ANY ILLEGAL_OPTIONS_ON_ITEM_TEMPLATE ILLEGAL_TAGGED_ANY ILLEGAL_TIME_VALUE INTEGER_NOT_ASCII_FORMAT INTEGER_TOO_LARGE_FOR_LONG INVALID_BIT_STRING_BITS_LEFT INVALID_BMPSTRING INVALID_DIGIT INVALID_MODIFIER INVALID_NUMBER INVALID_OBJECT_ENCODING INVALID_SEPARATOR INVALID_TIME_FORMAT INVALID_UNIVERSALSTRING INVALID_UTF8STRING LIST_ERROR MISSING_ASN1_EOS MISSING_EOC MISSING_SECOND_NUMBER MISSING_VALUE MSTRING_NOT_UNIVERSAL MSTRING_WRONG_TAG NESTED_ASN1_ERROR NESTED_ASN1_STRING NESTED_TOO_DEEP NON_HEX_CHARACTERS NOT_ASCII_FORMAT NOT_ENOUGH_DATA NO_MATCHING_CHOICE_TYPE NULL_IS_WRONG_LENGTH OBJECT_NOT_ASCII_FORMAT ODD_NUMBER_OF_CHARS SECOND_NUMBER_TOO_LARGE SEQUENCE_LENGTH_MISMATCH SEQUENCE_NOT_CONSTRUCTED SEQUENCE_OR_SET_NEEDS_CONFIG SHORT_LINE STREAMING_NOT_SUPPORTED STRING_TOO_LONG STRING_TOO_SHORT TAG_VALUE_TOO_HIGH TIME_NOT_ASCII_FORMAT TOO_LONG TYPE_NOT_CONSTRUCTED TYPE_NOT_PRIMITIVE UNEXPECTED_EOC UNIVERSALSTRING_IS_WRONG_LENGTH UNKNOWN_FORMAT UNKNOWN_MESSAGE_DIGEST_ALGORITHM UNKNOWN_SIGNATURE_ALGORITHM UNKNOWN_TAG UNSUPPORTED_ANY_DEFINED_BY_TYPE UNSUPPORTED_PUBLIC_KEY_TYPE UNSUPPORTED_TYPE WRONG_PUBLIC_KEY_TYPE WRONG_TAG WRONG_TYPE BAD_FOPEN_MODE BROKEN_PIPE CONNECT_ERROR ERROR_SETTING_NBIO INVALID_ARGUMENT IN_USE KEEPALIVE NBIO_CONNECT_ERROR NO_HOSTNAME_SPECIFIED NO_PORT_SPECIFIED NO_SUCH_FILE NULL_PARAMETER SYS_LIB UNABLE_TO_CREATE_SOCKET UNINITIALIZED UNSUPPORTED_METHOD WRITE_TO_READ_ONLY_BIO ARG2_LT_ARG3 BAD_ENCODING BAD_RECIPROCAL BIGNUM_TOO_LONG BITS_TOO_SMALL CALLED_WITH_EVEN_MODULUS DIV_BY_ZERO EXPAND_ON_STATIC_BIGNUM_DATA INPUT_NOT_REDUCED INVALID_INPUT INVALID_RANGE NEGATIVE_NUMBER NOT_A_SQUARE NOT_INITIALIZED NO_INVERSE PRIVATE_KEY_TOO_LARGE P_IS_NOT_PRIME TOO_MANY_ITERATIONS TOO_MANY_TEMPORARY_VARIABLES AES_KEY_SETUP_FAILED BAD_DECRYPT BAD_KEY_LENGTH CTRL_NOT_IMPLEMENTED CTRL_OPERATION_NOT_IMPLEMENTED DATA_NOT_MULTIPLE_OF_BLOCK_LENGTH INITIALIZATION_ERROR INPUT_NOT_INITIALIZED INVALID_AD_SIZE INVALID_KEY_LENGTH INVALID_NONCE INVALID_NONCE_SIZE INVALID_OPERATION IV_TOO_LARGE NO_CIPHER_SET NO_DIRECTION_SET OUTPUT_ALIASES_INPUT TAG_TOO_LARGE TOO_LARGE UNSUPPORTED_AD_SIZE UNSUPPORTED_INPUT_SIZE UNSUPPORTED_KEY_SIZE UNSUPPORTED_NONCE_SIZE UNSUPPORTED_TAG_SIZE WRONG_FINAL_BLOCK_LENGTH LIST_CANNOT_BE_NULL MISSING_CLOSE_SQUARE_BRACKET MISSING_EQUAL_SIGN NO_CLOSE_BRACE UNABLE_TO_CREATE_NEW_SECTION VARIABLE_EXPANSION_TOO_LONG VARIABLE_HAS_NO_VALUE BAD_GENERATOR INVALID_PUBKEY MODULUS_TOO_LARGE NO_PRIVATE_VALUE UNKNOWN_HASH BAD_Q_VALUE BAD_VERSION INVALID_PARAMETERS MISSING_PARAMETERS NEED_NEW_SETUP_VALUES BIGNUM_OUT_OF_RANGE COORDINATES_OUT_OF_RANGE D2I_ECPKPARAMETERS_FAILURE EC_GROUP_NEW_BY_NAME_FAILURE GROUP2PKPARAMETERS_FAILURE GROUP_MISMATCH I2D_ECPKPARAMETERS_FAILURE INCOMPATIBLE_OBJECTS INVALID_COFACTOR INVALID_COMPRESSED_POINT INVALID_COMPRESSION_BIT INVALID_ENCODING INVALID_FIELD INVALID_FORM INVALID_GROUP_ORDER INVALID_PRIVATE_KEY INVALID_SCALAR MISSING_PRIVATE_KEY NON_NAMED_CURVE PKPARAMETERS2GROUP_FAILURE POINT_AT_INFINITY POINT_IS_NOT_ON_CURVE PUBLIC_KEY_VALIDATION_FAILED SLOT_FULL UNDEFINED_GENERATOR UNKNOWN_GROUP UNKNOWN_ORDER WRONG_CURVE_PARAMETERS WRONG_ORDER KDF_FAILED POINT_ARITHMETIC_FAILURE UNKNOWN_DIGEST_LENGTH BAD_SIGNATURE NOT_IMPLEMENTED RANDOM_NUMBER_GENERATION_FAILED OPERATION_NOT_SUPPORTED COMMAND_NOT_SUPPORTED DIFFERENT_KEY_TYPES DIFFERENT_PARAMETERS EMPTY_PSK EXPECTING_AN_EC_KEY_KEY EXPECTING_AN_RSA_KEY EXPECTING_A_DSA_KEY ILLEGAL_OR_UNSUPPORTED_PADDING_MODE INVALID_DIGEST_LENGTH INVALID_DIGEST_TYPE INVALID_KEYBITS INVALID_MGF1_MD INVALID_PADDING_MODE INVALID_PEER_KEY INVALID_PSS_SALTLEN INVALID_SIGNATURE KEYS_NOT_SET MEMORY_LIMIT_EXCEEDED NOT_A_PRIVATE_KEY NOT_XOF_OR_INVALID_LENGTH NO_DEFAULT_DIGEST NO_KEY_SET NO_MDC2_SUPPORT NO_NID_FOR_CURVE NO_OPERATION_SET NO_PARAMETERS_SET OPERATION_NOT_SUPPORTED_FOR_THIS_KEYTYPE OPERATON_NOT_INITIALIZED UNKNOWN_PUBLIC_KEY_TYPE UNSUPPORTED_ALGORITHM OUTPUT_TOO_LARGE INVALID_OID_STRING UNKNOWN_NID BAD_BASE64_DECODE BAD_END_LINE BAD_IV_CHARS BAD_PASSWORD_READ CIPHER_IS_NULL ERROR_CONVERTING_PRIVATE_KEY NOT_DEK_INFO NOT_ENCRYPTED NOT_PROC_TYPE NO_START_LINE READ_KEY SHORT_HEADER UNSUPPORTED_CIPHER UNSUPPORTED_ENCRYPTION BAD_PKCS7_VERSION NOT_PKCS7_SIGNED_DATA NO_CERTIFICATES_INCLUDED NO_CRLS_INCLUDED BAD_ITERATION_COUNT BAD_PKCS12_DATA BAD_PKCS12_VERSION CIPHER_HAS_NO_OBJECT_IDENTIFIER CRYPT_ERROR ENCRYPT_ERROR ERROR_SETTING_CIPHER_PARAMS INCORRECT_PASSWORD INVALID_CHARACTERS KEYGEN_FAILURE KEY_GEN_ERROR METHOD_NOT_SUPPORTED MISSING_MAC MULTIPLE_PRIVATE_KEYS_IN_PKCS12 PKCS12_PUBLIC_KEY_INTEGRITY_NOT_SUPPORTED PKCS12_TOO_DEEPLY_NESTED PRIVATE_KEY_DECODE_ERROR PRIVATE_KEY_ENCODE_ERROR UNKNOWN_ALGORITHM UNKNOWN_CIPHER UNKNOWN_CIPHER_ALGORITHM UNKNOWN_DIGEST UNSUPPORTED_KEYLENGTH UNSUPPORTED_KEY_DERIVATION_FUNCTION UNSUPPORTED_OPTIONS UNSUPPORTED_PRF UNSUPPORTED_PRIVATE_KEY_ALGORITHM UNSUPPORTED_SALT_TYPE BAD_E_VALUE BAD_FIXED_HEADER_DECRYPT BAD_PAD_BYTE_COUNT BAD_RSA_PARAMETERS BLOCK_TYPE_IS_NOT_01 BLOCK_TYPE_IS_NOT_02 BN_NOT_INITIALIZED CANNOT_RECOVER_MULTI_PRIME_KEY CRT_PARAMS_ALREADY_GIVEN CRT_VALUES_INCORRECT DATA_LEN_NOT_EQUAL_TO_MOD_LEN DATA_TOO_LARGE DATA_TOO_LARGE_FOR_KEY_SIZE DATA_TOO_LARGE_FOR_MODULUS DATA_TOO_SMALL DATA_TOO_SMALL_FOR_KEY_SIZE DIGEST_TOO_BIG_FOR_RSA_KEY D_E_NOT_CONGRUENT_TO_1 D_OUT_OF_RANGE EMPTY_PUBLIC_KEY FIRST_OCTET_INVALID INCONSISTENT_SET_OF_CRT_VALUES INTERNAL_ERROR INVALID_MESSAGE_LENGTH KEY_SIZE_TOO_SMALL LAST_OCTET_INVALID MUST_HAVE_AT_LEAST_TWO_PRIMES NO_PUBLIC_EXPONENT NULL_BEFORE_BLOCK_MISSING N_NOT_EQUAL_P_Q OAEP_DECODING_ERROR ONLY_ONE_OF_P_Q_GIVEN OUTPUT_BUFFER_TOO_SMALL PADDING_CHECK_FAILED PKCS_DECODING_ERROR SLEN_CHECK_FAILED SLEN_RECOVERY_FAILED UNKNOWN_ALGORITHM_TYPE UNKNOWN_PADDING_TYPE VALUE_MISSING WRONG_SIGNATURE_LENGTH ALPN_MISMATCH_ON_EARLY_DATA ALPS_MISMATCH_ON_EARLY_DATA APPLICATION_DATA_INSTEAD_OF_HANDSHAKE APPLICATION_DATA_ON_SHUTDOWN APP_DATA_IN_HANDSHAKE ATTEMPT_TO_REUSE_SESSION_IN_DIFFERENT_CONTEXT BAD_ALERT BAD_CHANGE_CIPHER_SPEC BAD_DATA_RETURNED_BY_CALLBACK BAD_DH_P_LENGTH BAD_DIGEST_LENGTH BAD_ECC_CERT BAD_ECPOINT BAD_HANDSHAKE_RECORD BAD_HELLO_REQUEST BAD_LENGTH BAD_PACKET_LENGTH BAD_RSA_ENCRYPT BAD_SRTP_MKI_VALUE BAD_SRTP_PROTECTION_PROFILE_LIST BAD_SSL_FILETYPE BAD_WRITE_RETRY BIO_NOT_SET BLOCK_CIPHER_PAD_IS_WRONG CANNOT_HAVE_BOTH_PRIVKEY_AND_METHOD CANNOT_PARSE_LEAF_CERT CA_DN_LENGTH_MISMATCH CA_DN_TOO_LONG CCS_RECEIVED_EARLY CERTIFICATE_AND_PRIVATE_KEY_MISMATCH CERTIFICATE_VERIFY_FAILED CERT_CB_ERROR CERT_DECOMPRESSION_FAILED CERT_LENGTH_MISMATCH CHANNEL_ID_NOT_P256 CHANNEL_ID_SIGNATURE_INVALID CIPHER_MISMATCH_ON_EARLY_DATA CIPHER_OR_HASH_UNAVAILABLE CLIENTHELLO_PARSE_FAILED CLIENTHELLO_TLSEXT CONNECTION_REJECTED CONNECTION_TYPE_NOT_SET CUSTOM_EXTENSION_ERROR DATA_LENGTH_TOO_LONG DECRYPTION_FAILED DECRYPTION_FAILED_OR_BAD_RECORD_MAC DH_PUBLIC_VALUE_LENGTH_IS_WRONG DH_P_TOO_LONG DIGEST_CHECK_FAILED DOWNGRADE_DETECTED DTLS_MESSAGE_TOO_BIG DUPLICATE_EXTENSION DUPLICATE_KEY_SHARE DUPLICATE_SIGNATURE_ALGORITHM EARLY_DATA_NOT_IN_USE ECC_CERT_NOT_FOR_SIGNING EMPTY_HELLO_RETRY_REQUEST EMS_STATE_INCONSISTENT ENCRYPTED_LENGTH_TOO_LONG ERROR_ADDING_EXTENSION ERROR_IN_RECEIVED_CIPHER_LIST ERROR_PARSING_EXTENSION EXCESSIVE_MESSAGE_SIZE EXCESS_HANDSHAKE_DATA EXTRA_DATA_IN_MESSAGE FRAGMENT_MISMATCH GOT_NEXT_PROTO_WITHOUT_EXTENSION HANDSHAKE_FAILURE_ON_CLIENT_HELLO HANDSHAKE_NOT_COMPLETE HTTPS_PROXY_REQUEST HTTP_REQUEST INAPPROPRIATE_FALLBACK INCONSISTENT_CLIENT_HELLO INVALID_ALPN_PROTOCOL INVALID_COMMAND INVALID_COMPRESSION_LIST INVALID_DELEGATED_CREDENTIAL INVALID_MESSAGE INVALID_OUTER_RECORD_TYPE INVALID_SCT_LIST INVALID_SIGNATURE_ALGORITHM INVALID_SSL_SESSION INVALID_TICKET_KEYS_LENGTH KEY_USAGE_BIT_INCORRECT LENGTH_MISMATCH MISSING_ALPN MISSING_EXTENSION MISSING_KEY_SHARE MISSING_RSA_CERTIFICATE MISSING_TMP_DH_KEY MISSING_TMP_ECDH_KEY MIXED_SPECIAL_OPERATOR_WITH_GROUPS MTU_TOO_SMALL NEGOTIATED_ALPS_WITHOUT_ALPN NEGOTIATED_BOTH_NPN_AND_ALPN NEGOTIATED_TB_WITHOUT_EMS_OR_RI NESTED_GROUP NO_CERTIFICATES_RETURNED NO_CERTIFICATE_ASSIGNED NO_CERTIFICATE_SET NO_CIPHERS_AVAILABLE NO_CIPHERS_PASSED NO_CIPHERS_SPECIFIED NO_CIPHER_MATCH NO_COMMON_SIGNATURE_ALGORITHMS NO_COMPRESSION_SPECIFIED NO_GROUPS_SPECIFIED NO_METHOD_SPECIFIED NO_P256_SUPPORT NO_PRIVATE_KEY_ASSIGNED NO_RENEGOTIATION NO_REQUIRED_DIGEST NO_SHARED_CIPHER NO_SHARED_GROUP NO_SUPPORTED_VERSIONS_ENABLED NULL_SSL_CTX NULL_SSL_METHOD_PASSED OCSP_CB_ERROR OLD_SESSION_CIPHER_NOT_RETURNED OLD_SESSION_PRF_HASH_MISMATCH OLD_SESSION_VERSION_NOT_RETURNED PARSE_TLSEXT PATH_TOO_LONG PEER_DID_NOT_RETURN_A_CERTIFICATE PEER_ERROR_UNSUPPORTED_CERTIFICATE_TYPE PRE_SHARED_KEY_MUST_BE_LAST PRIVATE_KEY_OPERATION_FAILED PROTOCOL_IS_SHUTDOWN PSK_IDENTITY_BINDER_COUNT_MISMATCH PSK_IDENTITY_NOT_FOUND PSK_NO_CLIENT_CB PSK_NO_SERVER_CB QUIC_INTERNAL_ERROR QUIC_TRANSPORT_PARAMETERS_MISCONFIGURED READ_TIMEOUT_EXPIRED RECORD_LENGTH_MISMATCH RECORD_TOO_LARGE RENEGOTIATION_EMS_MISMATCH RENEGOTIATION_ENCODING_ERR RENEGOTIATION_MISMATCH REQUIRED_CIPHER_MISSING RESUMED_EMS_SESSION_WITHOUT_EMS_EXTENSION RESUMED_NON_EMS_SESSION_WITH_EMS_EXTENSION SCSV_RECEIVED_WHEN_RENEGOTIATING SECOND_SERVERHELLO_VERSION_MISMATCH SERVERHELLO_TLSEXT SERVER_CERT_CHANGED SERVER_ECHOED_INVALID_SESSION_ID SESSION_ID_CONTEXT_UNINITIALIZED SESSION_MAY_NOT_BE_CREATED SHUTDOWN_WHILE_IN_INIT SIGNATURE_ALGORITHMS_EXTENSION_SENT_BY_SERVER SRTP_COULD_NOT_ALLOCATE_PROFILES SRTP_UNKNOWN_PROTECTION_PROFILE SSL3_EXT_INVALID_SERVERNAME SSLV3_ALERT_BAD_CERTIFICATE SSLV3_ALERT_BAD_RECORD_MAC SSLV3_ALERT_CERTIFICATE_EXPIRED SSLV3_ALERT_CERTIFICATE_REVOKED SSLV3_ALERT_CERTIFICATE_UNKNOWN SSLV3_ALERT_CLOSE_NOTIFY SSLV3_ALERT_DECOMPRESSION_FAILURE SSLV3_ALERT_HANDSHAKE_FAILURE SSLV3_ALERT_ILLEGAL_PARAMETER SSLV3_ALERT_NO_CERTIFICATE SSLV3_ALERT_UNEXPECTED_MESSAGE SSLV3_ALERT_UNSUPPORTED_CERTIFICATE SSL_CTX_HAS_NO_DEFAULT_SSL_VERSION SSL_HANDSHAKE_FAILURE SSL_SESSION_ID_CONTEXT_TOO_LONG SSL_SESSION_ID_TOO_LONG TICKET_ENCRYPTION_FAILED TLS13_DOWNGRADE TLSV1_ALERT_ACCESS_DENIED TLSV1_ALERT_BAD_CERTIFICATE_HASH_VALUE TLSV1_ALERT_BAD_CERTIFICATE_STATUS_RESPONSE TLSV1_ALERT_CERTIFICATE_REQUIRED TLSV1_ALERT_CERTIFICATE_UNOBTAINABLE TLSV1_ALERT_DECODE_ERROR TLSV1_ALERT_DECRYPTION_FAILED TLSV1_ALERT_DECRYPT_ERROR TLSV1_ALERT_EXPORT_RESTRICTION TLSV1_ALERT_INAPPROPRIATE_FALLBACK TLSV1_ALERT_INSUFFICIENT_SECURITY TLSV1_ALERT_INTERNAL_ERROR TLSV1_ALERT_NO_APPLICATION_PROTOCOL TLSV1_ALERT_NO_RENEGOTIATION TLSV1_ALERT_PROTOCOL_VERSION TLSV1_ALERT_RECORD_OVERFLOW TLSV1_ALERT_UNKNOWN_CA TLSV1_ALERT_UNKNOWN_PSK_IDENTITY TLSV1_ALERT_UNRECOGNIZED_NAME TLSV1_ALERT_UNSUPPORTED_EXTENSION TLSV1_ALERT_USER_CANCELLED TLS_PEER_DID_NOT_RESPOND_WITH_CERTIFICATE_LIST TLS_RSA_ENCRYPTED_VALUE_LENGTH_IS_WRONG TOO_MANY_EMPTY_FRAGMENTS TOO_MANY_KEY_UPDATES TOO_MANY_WARNING_ALERTS TOO_MUCH_READ_EARLY_DATA TOO_MUCH_SKIPPED_EARLY_DATA UNABLE_TO_FIND_ECDH_PARAMETERS UNCOMPRESSED_CERT_TOO_LARGE UNEXPECTED_COMPATIBILITY_MODE UNEXPECTED_EXTENSION UNEXPECTED_EXTENSION_ON_EARLY_DATA UNEXPECTED_MESSAGE UNEXPECTED_OPERATOR_IN_GROUP UNEXPECTED_RECORD UNKNOWN_ALERT_TYPE UNKNOWN_CERTIFICATE_TYPE UNKNOWN_CERT_COMPRESSION_ALG UNKNOWN_CIPHER_RETURNED UNKNOWN_CIPHER_TYPE UNKNOWN_KEY_EXCHANGE_TYPE UNKNOWN_PROTOCOL UNKNOWN_SSL_VERSION UNKNOWN_STATE UNSAFE_LEGACY_RENEGOTIATION_DISABLED UNSUPPORTED_COMPRESSION_ALGORITHM UNSUPPORTED_ELLIPTIC_CURVE UNSUPPORTED_PROTOCOL UNSUPPORTED_PROTOCOL_FOR_CUSTOM_KEY WRONG_CERTIFICATE_TYPE WRONG_CIPHER_RETURNED WRONG_CURVE WRONG_ENCRYPTION_LEVEL_RECEIVED WRONG_MESSAGE_TYPE WRONG_SIGNATURE_TYPE WRONG_SSL_VERSION WRONG_VERSION_NUMBER WRONG_VERSION_ON_EARLY_DATA X509_LIB X509_VERIFICATION_SETUP_PROBLEMS BAD_VALIDITY_CHECK DECODE_FAILURE INVALID_KEY_ID INVALID_METADATA INVALID_METADATA_KEY INVALID_PROOF INVALID_TOKEN NO_KEYS_CONFIGURED NO_SRR_KEY_CONFIGURED OVER_BATCHSIZE SRR_SIGNATURE_ERROR TOO_MANY_KEYS AKID_MISMATCH BAD_X509_FILETYPE BASE64_DECODE_ERROR CANT_CHECK_DH_KEY CERT_ALREADY_IN_HASH_TABLE CRL_ALREADY_DELTA CRL_VERIFY_FAILURE DELTA_CRL_WITHOUT_CRL_NUMBER IDP_MISMATCH INVALID_DIRECTORY INVALID_FIELD_FOR_VERSION INVALID_FIELD_NAME INVALID_PARAMETER INVALID_PSS_PARAMETERS INVALID_TRUST INVALID_VERSION ISSUER_MISMATCH KEY_TYPE_MISMATCH KEY_VALUES_MISMATCH LOADING_CERT_DIR LOADING_DEFAULTS NAME_TOO_LONG NEWER_CRL_NOT_NEWER NO_CERT_SET_FOR_US_TO_VERIFY NO_CRL_NUMBER PUBLIC_KEY_DECODE_ERROR PUBLIC_KEY_ENCODE_ERROR SHOULD_RETRY SIGNATURE_ALGORITHM_MISMATCH UNKNOWN_KEY_TYPE UNKNOWN_PURPOSE_ID UNKNOWN_TRUST_ID WRONG_LOOKUP_TYPE BAD_IP_ADDRESS BAD_OBJECT BN_DEC2BN_ERROR BN_TO_ASN1_INTEGER_ERROR CANNOT_FIND_FREE_FUNCTION DIRNAME_ERROR DISTPOINT_ALREADY_SET DUPLICATE_ZONE_ID ERROR_CONVERTING_ZONE ERROR_CREATING_EXTENSION ERROR_IN_EXTENSION EXPECTED_A_SECTION_NAME EXTENSION_EXISTS EXTENSION_NAME_ERROR EXTENSION_NOT_FOUND EXTENSION_SETTING_NOT_SUPPORTED EXTENSION_VALUE_ERROR ILLEGAL_EMPTY_EXTENSION ILLEGAL_HEX_DIGIT INCORRECT_POLICY_SYNTAX_TAG INVALID_BOOLEAN_STRING INVALID_EXTENSION_STRING INVALID_MULTIPLE_RDNS INVALID_NAME INVALID_NULL_ARGUMENT INVALID_NULL_NAME INVALID_NULL_VALUE INVALID_NUMBERS INVALID_OBJECT_IDENTIFIER INVALID_OPTION INVALID_POLICY_IDENTIFIER INVALID_PROXY_POLICY_SETTING INVALID_PURPOSE INVALID_SECTION INVALID_SYNTAX ISSUER_DECODE_ERROR NEED_ORGANIZATION_AND_NUMBERS NO_CONFIG_DATABASE NO_ISSUER_CERTIFICATE NO_ISSUER_DETAILS NO_POLICY_IDENTIFIER NO_PROXY_CERT_POLICY_LANGUAGE_DEFINED NO_PUBLIC_KEY NO_SUBJECT_DETAILS ODD_NUMBER_OF_DIGITS OPERATION_NOT_DEFINED OTHERNAME_ERROR POLICY_LANGUAGE_ALREADY_DEFINED POLICY_PATH_LENGTH POLICY_PATH_LENGTH_ALREADY_DEFINED POLICY_WHEN_PROXY_LANGUAGE_REQUIRES_NO_POLICY SECTION_NOT_FOUND UNABLE_TO_GET_ISSUER_DETAILS UNABLE_TO_GET_ISSUER_KEYID UNKNOWN_BIT_STRING_ARGUMENT UNKNOWN_EXTENSION UNKNOWN_EXTENSION_NAME UNKNOWN_OPTION UNSUPPORTED_OPTION USER_TOO_LONG 1 c1 / / / 1 / / / / / / / / / / / / 31 1 0 g g h Kh jh
"
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