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Check that this location is readable and writable.Unable to get graph execution plan.Unable to get node and registration for node %d.unexpected number of inputs (%d) in %d node %dunexpected number of outputs (%d) in %d node %dunexpected allocation type (%d) in tensor %d in node %d (%d)unexpected datatype (%s) in tensor %d in node %dunexpected op registration %d at node %dvectorUnsupported version %d of FullyConnected.Unsupported approximate Gelu.Convolution2DTransposeBiasMaxPoolingWithArgmax2DMaxUnpooling2Dfailed to delegate %s node #%dunexpected number of inputs (%d != %d) in node %s #%dunexpected number of outputs (%d != %d) in %s node #%d%s: unsupported type %s in tensor #%d in node #%dCheckTensorTypeunordered_map::at: key not foundADDAVERAGE_POOL_2DCONCATENATIONCONV_2DDEPTHWISE_CONV_2DDEPTH_TO_SPACEDEQUANTIZEEMBEDDING_LOOKUPFLOORFULLY_CONNECTEDHASHTABLE_LOOKUPL2_NORMALIZATIONL2_POOL_2DLOCAL_RESPONSE_NORMALIZATIONLOGISTICLSH_PROJECTIONLSTMMAX_POOL_2DMULRELURELU_N1_TO_1RELU6RESHAPERESIZE_BILINEARRNNSOFTMAXSPACE_TO_DEPTHSVDFTANHCONCAT_EMBEDDINGSSKIP_GRAMCALLCUSTOMEMBEDDING_LOOKUP_SPARSEPADUNIDIRECTIONAL_SEQUENCE_RNNGATHERBATCH_TO_SPACE_NDSPACE_TO_BATCH_NDTRANSPOSEMEANSUBDIVSQUEEZEUNIDIRECTIONAL_SEQUENCE_LSTMSTRIDED_SLICEBIDIRECTIONAL_SEQUENCE_RNNEXPTOPK_V2SPLITLOG_SOFTMAXDELEGATEBIDIRECTIONAL_SEQUENCE_LSTMCASTPRELUMAXIMUMARG_MAXMINIMUMLESSNEGPADV2GREATERGREATER_EQUALLESS_EQUALSELECTSLICESINTRANSPOSE_CONVSPARSE_TO_DENSETILEEXPAND_DIMSEQUALNOT_EQUALLOGSUMSQRTRSQRTSHAPEPOWARG_MINFAKE_QUANTREDUCE_PRODREDUCE_MAXPACKLOGICAL_ORONE_HOTLOGICAL_ANDLOGICAL_NOTUNPACKREDUCE_MINFLOOR_DIVREDUCE_ANYSQUAREZEROS_LIKEFILLFLOOR_MODRANGERESIZE_NEAREST_NEIGHBORLEAKY_RELUSQUARED_DIFFERENCEMIRROR_PADABSSPLIT_VUNIQUECEILREVERSE_V2ADD_NGATHER_NDCOSWHERERANKELUREVERSE_SEQUENCEMATRIX_DIAGQUANTIZEMATRIX_SET_DIAGROUNDHARD_SWISHIFWHILENON_MAX_SUPPRESSION_V4NON_MAX_SUPPRESSION_V5SCATTER_NDSELECT_V2DENSIFYSEGMENT_SUMBATCH_MATMULPLACEHOLDER_FOR_GREATER_OP_CODESCUMSUMCALL_ONCEBROADCAST_TORFFT2DCONV_3DIMAGREALCOMPLEX_ABSHASHTABLEHASHTABLE_FINDHASHTABLE_IMPORTHASHTABLE_SIZEREDUCE_ALLCONV_3D_TRANSPOSEVAR_HANDLEREAD_VARIABLEASSIGN_VARIABLEBROADCAST_ARGSRANDOM_STANDARD_NORMALBUCKETIZERANDOM_UNIFORMMULTINOMIALGELUDYNAMIC_UPDATE_SLICERELU_0_TO_1UNSORTED_SEGMENT_PRODUNSORTED_SEGMENT_MAXUNSORTED_SEGMENT_SUMATAN2UNSORTED_SEGMENT_MINSIGNBITCASTBITWISE_XORRIGHT_SHIFTSTABLEHLO_LOGISTICSTABLEHLO_ADDSTABLEHLO_DIVIDESTABLEHLO_MULTIPLYSTABLEHLO_MAXIMUMSTABLEHLO_RESHAPESTABLEHLO_CLAMPSTABLEHLO_CONCATENATESTABLEHLO_BROADCAST_IN_DIMSTABLEHLO_CONVOLUTIONSTABLEHLO_SLICESTABLEHLO_CUSTOM_CALLSTABLEHLO_REDUCESTABLEHLO_ABSSTABLEHLO_ANDSTABLEHLO_COSINESTABLEHLO_EXPONENTIALSTABLEHLO_FLOORSTABLEHLO_LOGSTABLEHLO_MINIMUMSTABLEHLO_NEGATESTABLEHLO_ORSTABLEHLO_POWERSTABLEHLO_REMAINDERSTABLEHLO_RSQRTSTABLEHLO_SELECTSTABLEHLO_SUBTRACTSTABLEHLO_TANHSTABLEHLO_SCATTERSTABLEHLO_COMPARESTABLEHLO_CONVERTSTABLEHLO_DYNAMIC_SLICESTABLEHLO_DYNAMIC_UPDATE_SLICESTABLEHLO_PADSTABLEHLO_IOTASTABLEHLO_DOT_GENERALSTABLEHLO_REDUCE_WINDOWSTABLEHLO_SORTSTABLEHLO_WHILESTABLEHLO_GATHERSTABLEHLO_TRANSPOSEDILATESTABLEHLO_RNG_BIT_GENERATORREDUCE_WINDOWSTABLEHLO_COMPOSITESTABLEHLO_SHIFT_LEFTSTABLEHLO_CBRTSTABLEHLO_CASEunsupported mixed types in ADD operator #%dunsupported quantization type %d in tensor #%d in node #%dCheckTensorFloat32OrQUInt8Typeunsupported number of shape dimensions (%d) in tensor #%d in %s node #%d: %d dimensions expectedunsupported number of shape dimensions (%d) in tensor #%d in %s node #%d: at least %d dimensions expectedunsupported number of shape dimensions (%d) in tensor #%d in %s node #%d: at most %d dimensions expectedinvalid num of elements (%d) in dimension #%d in tensor #%d in %s node #%dunsupported input-to-output scale in %s node #%dunsupported fused activation (Tanh) in node #%dunsupported fused activation (Sign) in node #%dunsupported fused activation (Sigmoid) in node #%dinvalid fused activation (%d) in node #%dTfLiteXNNPackDelegateOptions::handle_variable_ops is deprecated and will be removed in the future. Use TfLiteXNNPackDelegateOptions::flags with TFLITE_XNNPACK_DELEGATE_FLAG_VARIABLE_OPERATORS maskfailed to associate variable tensors with tensor %d: only kTfLiteFloat32, kTfLiteInt8, or kTfLiteUint8 variable tensors are supportedmismatch between existing type of variable tensor id %d: expected %d, got %dmismatch between dimension %zu of variable tensor id %d: expected %d, got %dinvalid stride width %d in %s node #%dinvalid stride height %d in %s node #%dinvalid filter width %d in %s node #%dinvalid filter height %d in %s node #%dunsupported width stride %d exceeding filter width %d in %s node #%dunsupported height stride %d exceeding filter height %d in %s node #%dunsupported pooling with 1x1 filter and %dx%d stride in %s node #%dinvalid padding mode (%d) in node #%dfailed to delegate %s node #%d. Unsupported number of dimensions %d for tensor #%d, must be at least 2failed to delegate %s node #%d. unexpected number of quantizations scales (expected %d or 1, got %d)failed to update filter tensor %s node #%dfailed to create XNNPACK Value for tensor %dmissing scale quantization parameters in tensor #%d in node #%dunsupported quantized dimension %d in tensor #%d in node #%dChannelwise quantized tensor #%d in node #%d has invalid quantization parametersQuantized tensor #%d in node #%d has invalid quantization parametersCheckTensorFloat32OrQCInt8TypeMismatching quantization zero point across the %dth input (%d) and the output (%d) for CONCATENATE operator #%dMismatching quantization scale across the %dth input (%f) and the output (%f) for CONCATENATE operator #%dunexpected number of inputs (%d) in %s node #%dunsupported CONV_2D node #%d without biasunsupported mixed types in CONV_2D operator #%dgroups of zero is not supported by CONV_2D operator #%dinvalid stride width %d in node #%dinvalid stride height %d in node #%dinvalid dilation width factor %d in node #%dinvalid dilation height factor %d in node #%dinvalid allocation type in tensor #%d in %s node #%d: expected static read-only tensorCheckTensorFloat32OrFloat16OrQCInt32Typeunsupported DEPTHWISE_CONV_2D node #%d without biasunsupported mixed types in DEPTHWISE_CONV_2D operator #%dinvalid depth multiplier %d in node #%ddepth multiplier %d is incompatible with number of output channels %d in node #%dinvalid block size (%d) in DEPTH_TO_SPACE node #%dCheckTensorQInt8OrQUInt8TypeCheckTensorFloat32OrQInt8TypeFully Connected: Mismatch between number of bias elements %d and number of output channels %d at node %dunsupported mixed types in FULLY_CONNECTED operator #%dunsupported odd number of inputs channels (%d) in FULLY_CONNECTED operator #%dunsupported non-default weights format in node #%dCheckTensorFloat32OrFloat16OrQCInt4OrQCInt8Typeunsupported quantization type %d for UINT8 tensor %d in XNNPACK delegatemissing scale quantization parameters for UINT8 tensor %d in XNNPACK delegatemissing zero point quantization parameters for UINT8 tensor %d in XNNPACK delegateunsupported number (%d) of scale quantization parameters for UINT8 tensor %d in XNNPACK delegateunsupported number (%d) of zero point quantization parameters for UINT8 tensor %d in XNNPACK delegateunsupported scale value (%f) for UINT8 tensor %d in XNNPACK delegateunsupported zero-point value (%d) for UINT8 tensor %d in XNNPACK delegateunsupported quantization type %d for %s tensor %d in XNNPACK delegatemissing scale quantization parameters for %s tensor %d in XNNPACK delegatemissing zero point quantization parameters for %s tensor %d in XNNPACK delegatemismatching number of scale (%d) and zero point (%d) quantization parameters for %s tensor %d in XNNPACK delegateunsupported scale value (%f) in channel %d for %s tensor %d in XNNPACK delegateunsupported per-tensor quantization scale parameter for %s tensor %d in XNNPACK delegateunsupported zero-point value (%d) for INT8 tensor %d in XNNPACK delegateunsupported zero-point value %d in channel %d of %s tensor %d in XNNPACK delegatemismatching number of quantization parameters %d and outer dimension %d for INT8 tensor %d in XNNPACK delegateunsupported quantization type %d for INT32 tensor %d in XNNPACK delegatemissing scale quantization parameters for INT32 tensor %d in XNNPACK delegatemissing zero point quantization parameters for INT32 tensor %d in XNNPACK delegatemismatching number of scale (%d) and zero point (%d) quantization parameters for INT32 tensor %d in XNNPACK delegateunsupported quantized dimension %d for INT32 tensor %d in XNNPACK delegateunsupported zero-point value %d for INT32 tensor %d in XNNPACK delegateunsupported zero-point value %d in channel %d of INT32 tensor %d in XNNPACK delegatemismatching number of quantization parameters %d and outer dimension %d for INT32 tensor %d in XNNPACK delegateunsupported alpha %g in LEAKY_RELU node #%dunsupported positive input-to-output scale %g in LEAKY_RELU node #%dunsupported negative input-to-output scale %g in LEAKY_RELU node #%dunexpected number of shape dimensions (%d) in axes tensor #%d in node #%d: expected a 1D tensorunsupported input-product-to-output scale in %s, node #%dinvalid pre-padding %d for dimension #%d in node %dinvalid post-padding %d for dimension #%d in node %dunexpected number of shape dimensions (%d) in padding tensor #%d in node #%d: expected a 2D tensorunexpected number of rows (%d) in padding tensor #%d in node #%d: %d rows expectedunexpected number of columns (%d) in padding tensor #%d in node #%d: 2 columns expectedunexpected number of shape dimensions (%d) in tensor #%d in %s node #%d: expected at least a 1D tensorunexpected value %d of shape dimension #%d in tensor #%d in %s node #%d: expected 1 for non-channel dimensionsunsupported input-to-output scale in QUANTIZE node #%dunsupported combination of input type (%s) and output type (%s) in QUANTIZE node #%dunexpected number of inputs (%d) in node #%d: either one or two inputs expectedunexpected number of outputs (%d) in node #%d: one output expectedMismatching quantization zero point across the input (%d) and the output (%d) for RESHAPE operator #%dMismatching quantization scale across the input (%f) and the output (%f) for RESHAPE operator #%dunexpected non-unit (%d) shape dimension #%d in shape tensor #%d in %s node #%d: expected %d leading dimensions of the %dD tensor to be 1unexpected number of shape dimensions (%d) in shape tensor #%d in %s node #%d: expected a 1D tensorunexpected number of dimensions %d in the output shape in node %dinvalid output dimension #%d value %d in node %dnumber of dimensions %d must be less than %d in SLICE node #%dbegin %lld must be greater than 0 in SLICE node #%dsize %lld must be positive in SLICE node #%dCheckTensorInt32OrInt64Typemismatch in shape dimension %d (%d != %d) in input and output tensors of %s operator #%dunsupported beta value %.7f in SOFTMAX node #%dblock size (%d) in SPACE_TO_DEPTH node #%d must be greater > 1SPACE_TO_DEPTH node #%d input height (%d) must be divisible by block_size (%d).SPACE_TO_DEPTH node #%d input width (%d) must be divisible by block_size (%d).%s:%d %s != %s (%d != %d)/home/kerigan/projects/tflite/tensorflow/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.ccsplit_params->num_splitsnum_outputsunexpected number of outputs (%d) in %s node #%dnumber of dimensions %d must be less than %d in STRIDED_SLICE node #%dstride at dimension %zu, %d, must be 1in STRIDED_SLICE node #%dbegin_tensorend_tensorstride_tensoroffset %zu + size %zu exceeds extent %zu in STRIDED_SLICE node #%d for dimension %zuCheckTensorInt32Type%s shape (%d) must be equal to input shape (%d) in STRIDED_SLICE node #%dunsupported number of output shape dimensions (%d) in node #%d: 4 dimensions expectedtranspose convolution kernel output channel dimension (%d) doesn't match output shape channel dimension (%d) in node #%d: 4 dimensions expectedtranspose convolution kernel input channel dimension (%d) doesn't match filter input channel (%d) in node #%doutput smaller than effective kernel dimensions unsupported with VALID padding in TRANSPOSE_CONV node #%d: effective kernel size %dx%d (HxW), output %dx%dinconsistent combination of parameters for TRANSPOSE_CONV op in node #%d: computed input size %dx%d (HxW), actual %dx%dstrides larger than effective kernel dimensions unsupported in TRANSPOSE_CONV node #%d: kernel size %dx%d (HxW), strides %dx%dbasic_stringglobal id mismatch for tensor %d, expected %u, found %u at VAR_HANDLE node %dscalelogit_capquery_proj.dims->data[query_proj.dims->size - 1]key_proj.dims->data[key_proj.dims->size - 1]value_proj.dims->data[value_proj.dims->size - 1]key_proj.dims->data[1]atten_mask->dims->data[atten_mask->dims->size - 1]value_proj.dims->data[1]query_proj.dims->data[2] % key_proj.dims->data[2]0query_dim->size4xnn_status_successxnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, scale_param, XNN_INVALID_VALUE_ID, 0, &scale_out_id)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, &query_proj.dims->data[3], XNN_INVALID_VALUE_ID, 0, &scale_orig_id)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &scale_out_id)xnn_define_clamp(subgraph, scale_const, scale_const, scale_orig_id, scale_out_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &multiply_out_id)xnn_define_multiply2(subgraph, default_out_min, default_out_max, query_proj_id, scale_out_id, multiply_out_id, 0)query_proj.dims->sizepermute_q.size()xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &permute_q_out_id)xnn_define_static_transpose( subgraph, permute_q.size(), permute_q.data(), multiply_out_id, permute_q_out_id, 0)key_proj.dims->sizepermute_k.size()xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &permute_k_out_id)xnn_define_static_transpose( subgraph, permute_k.size(), permute_k.data(), key_proj_id, permute_k_out_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &fc_out_id)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &q_reshape_id)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &k_reshape_id)xnn_define_tensor_value( subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &bmm_reshape_id)xnn_define_static_reshape(subgraph, q_reshape_dims.size(), q_reshape_dims.data(), permute_q_out_id, q_reshape_id, 0)xnn_define_static_reshape(subgraph, k_reshape_dims.size(), k_reshape_dims.data(), permute_k_out_id, k_reshape_id, 0)xnn_define_batch_matrix_multiply(subgraph, q_reshape_id, k_reshape_id, bmm_reshape_id, XNN_FLAG_TRANSPOSE_B)xnn_define_static_reshape(subgraph, bmm_reshape_dims.size(), bmm_reshape_dims.data(), bmm_reshape_id, fc_out_id, 0)xnn_define_batch_matrix_multiply( subgraph, permute_q_out_id, permute_k_out_id, fc_out_id, XNN_FLAG_TRANSPOSE_B)xnn_define_tensor_value( subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &reshape_dims_k_out_id)xnn_define_static_reshape(subgraph, reshape_dims_k.size(), reshape_dims_k.data(), permute_k_out_id, reshape_dims_k_out_id, 0)xnn_define_fully_connected( subgraph, default_out_min, default_out_max, permute_q_out_id, reshape_dims_k_out_id, XNN_INVALID_VALUE_ID, fc_out_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, cap_param, XNN_INVALID_VALUE_ID, 0, &cap_val_id)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &cap_div_out_id)xnn_define_divide(subgraph, default_out_min, default_out_max, fc_out_id, cap_val_id, cap_div_out_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &cap_tanh_out_id)xnn_define_tanh(subgraph, cap_div_out_id, cap_tanh_out_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &cap_logits_id)xnn_define_multiply2(subgraph, default_out_min, default_out_max, cap_tanh_out_id, cap_val_id, cap_logits_id, 0)xnn_define_tensor_value( subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &padded_logits_id)xnn_define_add2(subgraph, default_out_min, default_out_max, atten_mask_id, fc_out_id, padded_logits_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &probs_id)xnn_define_softmax(subgraph, padded_logits_id, probs_id, 0)value_proj.dims->sizepermute_v.size()xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &permute_v_out_id)xnn_define_static_transpose( subgraph, permute_v.size(), permute_v.data(), value_proj_id, permute_v_out_id, 0)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &fc2_out_id)xnn_define_tensor_value( subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &padded_logits_reshape_id)xnn_define_tensor_value(subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &v_reshape_id)xnn_define_tensor_value( subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &bmm2_reshape_id)xnn_define_static_reshape( subgraph, padded_logits_reshape_dims.size(), padded_logits_reshape_dims.data(), probs_id, padded_logits_reshape_id, 0)xnn_define_static_reshape(subgraph, v_reshape_dims.size(), v_reshape_dims.data(), permute_v_out_id, v_reshape_id, 0)xnn_define_batch_matrix_multiply( subgraph, padded_logits_reshape_id, v_reshape_id, bmm2_reshape_id, XNN_FLAG_TRANSPOSE_B)xnn_define_static_reshape( subgraph, bmm2_reshape_dims.size(), bmm2_reshape_dims.data(), bmm2_reshape_id, fc2_out_id, 0)xnn_define_batch_matrix_multiply( subgraph, probs_id, permute_v_out_id, fc2_out_id, XNN_FLAG_TRANSPOSE_B)xnn_define_tensor_value( subgraph, xnn_datatype_fp32, 0, nullptr, nullptr, XNN_INVALID_VALUE_ID, 0, &reshape_dims_v_out_id)xnn_define_static_reshape(subgraph, reshape_dims_v.size(), reshape_dims_v.data(), permute_v_out_id, reshape_dims_v_out_id, 0)xnn_define_fully_connected( subgraph, default_out_min, default_out_max, probs_id, reshape_dims_v_out_id, XNN_INVALID_VALUE_ID, fc2_out_id, 0)failed to delegate CUSTOM(%s) node #%dinvalid filter width %d in node #%dinvalid filter height %d in node #%dfilter width %d does not match stride width %d in node #%dfilter height %d does not match stride height %d in node #%dunsupported fused activation (Relu) in node #%dunsupported fused activation (ReluMinus1To1) in node #%dunsupported fused activation (Relu6) in node #%dTfLiteXNNPackDelegatefailed to create XNNPACK subgraphunexpected resource tensor when XNNPACK delegate is not configured to handle variable operationscould not find variable with global id %u in context %p for local tensor %dunsupported datatype (%s) of tensor %d in XNNPACK delegateXNNPack delegate failed to start cache build step.XNNPack delegate failed to stop cache build step.failed to create XNNPACK runtimefailed to define tensor for variable global id %dXNNPack delegate failed to reshape external valueXNNPack delegate failed to reshape runtimeXNNPack delegate failed to get external value shapeXNNPack delegate failed to get resize output tensorunexpected null data pointer in external tensor %dfailed to setup XNNPACK runtimefailed to invoke XNNPACK runtimefailed to get XNNPACK profile information.Created TensorFlow Lite XNNPACK delegate for CPU.\PÎ(ÏHÒ«JBFVdl~˜©¯¿Ðáì !&26;HNVfjr†‹§¬³ËÏëò %)-5R`{‡™¢¾ÃÉÑÙáæêðø"1AFRXbfjou{‡’ž©®¹ÁÍÙàëõ!'?J]hlt{€‹‘›Ÿ¥ª®¿ËÔäêõøþ,7AIUbƒŠ”¡¨°µºÆÐßðÿ ' 5 E T k u „ • ª ¶ Ì á ö ü * 6 I W h { Ÿ ¯ Å à ö -;IZp€Ž ±¾Îâò%7I[s’ ¯ÅÝìü ! ( D R f { Š odml.scaled_dot_product_attentionreduced_precision_supportaccfp16bf16fp32clang version 18.1.8A?aeabi5C2.09 A "$& "#$%&()*+,./01345679:;<=?@ABCEFGHIKLMNOQRSTVWXYZ[]^_`acdefhijklnopqstuvwxz{|}€‚ƒ„†‡ˆ‰ŠŒŽ‘“”•–—™š›œŸ ¡¢£¤¦§¨©«¬®°±²³´µ·¸¹º»¼¾¿ÀÁÃÄÅÆÇÉÊËÌÎÏÐÑÒÔÕÖ×ØÚÛÜÝÞàáâãäæçèéêëíîïðñóôõöøùúûýþÿ !"$%&'(*+,-/012356789;<=>?@BCDEFHIJKMNOPQSTUVWXZ[\]^`abcdeghijkmnoprstuwxyz{}~€‚ƒ„…‡ˆ‰ŠŒŽ‘’“”–—˜™›œž ¡¢£¤¥§¨©ª«®¯°±³¸º»½¯Zñÿjç¾ägâ¸ð.,Ã/ÀGßl-RÄ,&‡)À*w´IÌ {Û˜ºÞ€`ÊÜ/˜àØü^âw$´4Ö]ü¼‹Ó4øÐ8¬Î>ß›1´9çyäP -âT ßÐ AÛÔ ’ØÀ!æÕÄ!=Ó”&¾Ð˜&^Î-þæ”->ä¼.TÎ !´rÛÌ/´×Øû0´+Ö+=´‚Óh1´ïÐ™)´žŽ0µùÚ¤òáð.´Þ/¸ÏçM2´ óÚ WØõÒÕ/ïÒƒÐ"Î"$(¸æ(*.ä.¬áD.yÞ$0¸Ú`3«X@o¿¬Å„œÆhGH Âü¬Üœð¨µ”àäòÃ°Üä§,í„ÕÄˆ¸Tœ´y ñ™\¦ü¥P£ ®ØÐVÉÜ¿Ðm·t<äUÀèðÄ¼d„ [`1¹Xª¦½¤´äªrð¢`®D ¬°´ûº$Wä¦°J(‡¾ôuÀN¸0‘äÝ»ø˜ärÈ€ÍÌ¨LÑ|ˆÇ0ÊPº\¬h` ¡àMD ‡°ˆk|<Áô÷¶ÅÌŸ„›4ëøþžÈ×èÇ´ÔøØ@9NÕH9ž°ï` ©¸ø‹¶ôäÃxä¼-U¨#œ ¸±D-H,µ²Ì„då³•äO¯ŒYT¤à`£ìd ´ÒX</çÉ*´oäó´²á"¿#â´ß,´7ÛC´3RÐ359ÝÍ9;?}æ?AE¿ãEGKeáKMQ=ÞQV|ÚVXÅãX]À×]_cÿÔcmÒ(chîÏhjn—Ín$æn£ÎÂ´sƒãsáDsuÕuzÓÜzÚ 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NodeEP12xnn_subgraphRKNS1_8DelegateEP13TfLiteContextiP10TfLiteNodePK12TfLiteTensorRKNSt3__113unordered_mapIijNSF_4hashIiEENSF_8equal_toIiEENSF_9allocatorINSF_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18Subgraph17VisitLogisticNodeEP12xnn_subgraphRKNS1_8DelegateEP13TfLiteContextiP10TfLiteNodePK12TfLiteTensorRKNSt3__113unordered_mapIijNSF_4hashIiEENSF_8equal_toIiEENSF_9allocatorINSF_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18Subgraph23VisitAssignVariableNodeEP12xnn_subgraphRNS1_8DelegateEP13TfLiteContextiPK10TfLiteNodePK12TfLiteTensorRKNSt3__113unordered_mapIijNSF_4hashIiEENSF_8equal_toIiEENSF_9allocatorINSF_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18Subgraph21VisitReadVariableNodeEP12xnn_subgraphRNS1_8DelegateEP13TfLiteContextiPK10TfLiteNodePK12TfLiteTensorRKNSt3__113unordered_mapIijNSF_4hashIiEENSF_8equal_toIiEENSF_9allocatorINSF_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18Subgraph13VisitReluNodeEP12xnn_subgraphRKNS1_8DelegateEP13TfLiteContextiP10TfLiteNodePK12TfLiteTensorffRKNSt3__113unordered_mapIijNSF_4hashIiEENSF_8equal_toIiEENSF_9allocatorINSF_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18Subgraph14VisitPreluNodeEP12xnn_subgraphRKNS1_8DelegateEP13TfLiteContextiP10TfLiteNodePK12TfLiteTensorRKNSt3__113unordered_setIiNSF_4hashIiEENSF_8equal_toIiEENSF_9allocatorIiEEEERKNSF_13unordered_mapIijSI_SK_NSL_INSF_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18Subgraph9VisitNodeEP12xnn_subgraphRNS1_8DelegateEP13TfLiteContextP18TfLiteRegistrationP10TfLiteNodeiRKNSt3__113unordered_setIiNSD_4hashIiEENSD_8equal_toIiEENSD_9allocatorIiEEEERKNSD_13unordered_mapIijSG_SI_NSJ_INSD_4pairIKijEEEEEE_ZN6tflite7xnnpack12_GLOBAL__N_18SubgraphC2ERNS1_8DelegateEP11xnn_runtimeRKNSt3__113unordered_setIiNS7_4hashIiEENS7_8equal_toIiEENS7_9allocatorIiEEEERNS7_6vectorIiSE_EESK_RNS7_13unordered_mapIijSA_SC_NSD_INS7_4pairIKijEEEEEEGCC_except_table9.L.str.399.L.str.299$a.299$a.199$a.99.L.str.389.L.str.289$a.289$a.189$a.89.L.str.379.L.str.279$d.279$a.179$a.79.L.str.369$a.369.L.str.269$d.269$a.169$a.69.L.str.359$a.359.L.str.259$d.259GCC_except_table159$a.159$a.59GCC_except_table49.L.str.349$a.349.L.str.249$a.249$a.149.L.str.49$a.49.L.str.439.L.str.339$d.339.L.str.239$a.239$a.139.L.str.39$a.39.L.str.429.L.str.329$d.329$a.229$a.129.L.str.29$a.29.L.str.419.L.str.319$a.319$a.219.L.str.119$a.119.L.str.19$d.19.L.str.409.L.str.309$a.309$a.209GCC_except_table109$a.109.L.str.9$d.9.L.str.398.L.str.298$d.298$d.198$d.98GCC_except_table88.L.str.388.L.str.288$a.288$d.188.L.str.88$d.88.L.str.378.L.str.278$a.278$d.178.L.str.78$d.78.L.str.368$a.368.L.str.268$a.268$d.168$d.68.L.str.358$a.358.L.str.258$a.258$d.158$a.58.L.str.448.L.str.348$a.348.L.str.248$d.248$d.148$a.48GCC_except_table38.L.str.438.L.str.338$a.338.L.str.238$d.238.L.str.138$d.138.L.str.38$a.38.L.str.428.L.str.328$a.328$d.228$d.128$a.28.L.str.418.L.str.318$d.318$d.218$d.118.L.str.18$a.18.L.str.408.L.str.308$d.308$d.208$d.108.L.str.8$a.8.L.str.397.L.str.297$a.297$a.197.L.str.97$a.97GCC_except_table87.L.str.387.L.str.287$a.287$a.187$a.87.L.str.377.L.str.277$d.277$a.177$a.77.L.str.367$d.367.L.str.267$d.267$a.167$a.67.L.str.357$a.357.L.str.257$a.257GCC_except_table157$a.157$a.57.L.str.447.L.str.347$a.347.L.str.247$a.247GCC_except_table147.L.str.147$a.147.L.str.47$d.47.L.str.437.L.str.337$d.337.L.str.237$a.237.L.str.137$a.137$d.37.L.str.427.L.str.327$d.327$a.227$a.127.L.str.27$a.27GCC_except_table17.L.str.417.L.str.317$a.317$a.217$a.117.L.str.17$d.17.L.str.407.L.str.307$a.307$a.207GCC_except_table107$a.107.L.str.7$d.7.L.str.396.L.str.296$d.296$d.196.L.str.96$d.96.L.str.386.L.str.286$a.286$d.186.L.str.86$d.86.L.str.376.L.str.276$a.276$d.176.L.str.76$d.76.L.str.366$a.366.L.str.266$a.266$d.166.L.str.66$d.66.L.str.356$a.356.L.str.256$a.256$d.156$a.56GCC_except_table46.L.str.446.L.str.346$a.346.L.str.246$d.246GCC_except_table146$d.146.L.str.46$a.46GCC_except_table36.L.str.436.L.str.336$a.336.L.str.236$d.236$d.136$a.36.L.str.426.L.str.326$a.326$d.226GCC_except_table126$d.126.L.str.26$a.26.rodata.cst16.L.str.416.L.str.316$d.316$d.216$d.116.L.str.16$a.16.L.str.406.L.str.306$d.306$d.206GCC_except_table106$d.106.L.str.6$a.6xnn_define_concatenate5GCC_except_table95.L.str.395.L.str.295$a.295$a.195$a.95.L.str.385.L.str.285$a.285$a.185$a.85.L.str.375.L.str.275$d.275$a.175.L.str.75$a.75.L.str.365$a.365.L.str.265$d.265.L.str.165$a.165$a.65GCC_except_table55.L.str.355$a.355.L.str.255$d.255$a.155.L.str.55$a.55.L.str.445.L.str.345$d.345.L.str.245$a.245GCC_except_table145$a.145$a.45.L.str.435.L.str.335$d.335.L.str.235$a.235.L.str.135$a.135.L.str.35$d.35.L.str.425.L.str.325$d.325$a.225.L.str.125$a.125.L.str.25$a.25.L.str.415.L.str.315$a.315$a.215$a.115.L.str.15$d.15.L.str.405.L.str.305$a.305$a.205GCC_except_table105$a.105.L.str.5$d.5xnn_create_runtime_v4xnn_define_even_split4xnn_define_concatenate4.L.str.394.L.str.294$a.294$d.194$d.94.L.str.384.L.str.284$d.284$d.184$d.84.L.str.374.L.str.274$a.274$d.174$d.74.L.str.364$d.364.L.str.264$a.264.L.str.164$d.164$d.64.L.str.354$a.354.L.str.254$a.254$d.154$d.54GC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