gpu_version/ffi/tape_decoder library
Classes
- TapeDecoder
- The TapeDecoder class offers a quality of life tool to allow decoding and visual printing of the contents of a CommandBuffer. To decode a CommandBuffer the following command can be used:
- flutter_ml package
- documentation
- gpu_version/ffi/tape_decoder.dart
flutter_ml package
- Libraries
- cpu_version/activationFunctions/activation_function
- cpu_version/activationFunctions/elu
- cpu_version/activationFunctions/leaky_relu
- cpu_version/activationFunctions/mish
- cpu_version/activationFunctions/relu
- cpu_version/activationFunctions/sigmoid
- cpu_version/activationFunctions/softmax
- cpu_version/activationFunctions/swish
- cpu_version/cpu_version
- cpu_version/layertypes/average_pooling_layer
- cpu_version/layertypes/batch_normalization_layer
- cpu_version/layertypes/conv_2d
- cpu_version/layertypes/convlstm_layer
- cpu_version/layertypes/dense_layer
- cpu_version/layertypes/dropout_layer
- cpu_version/layertypes/dual_lstm
- cpu_version/layertypes/embedding_layer
- cpu_version/layertypes/flatten_layer
- cpu_version/layertypes/global_average_pooling_layer
- cpu_version/layertypes/layer
- cpu_version/layertypes/lstm_layer
- cpu_version/layertypes/max_pooling_layer
- cpu_version/layertypes/multi_head_attention_layer
- cpu_version/layertypes/multi_lstm_layer
- cpu_version/layertypes/normalization_layer
- cpu_version/layertypes/positional_encoding_layer
- cpu_version/layertypes/relu_layer
- cpu_version/layertypes/rnn_layer
- cpu_version/layertypes/single_head_attention_layer
- cpu_version/layertypes/transformer
- cpu_version/layertypes/transformer_encoding_layer
- cpu_version/networks/s_network
- cpu_version/optimizers/adagrad
- cpu_version/optimizers/adam
- cpu_version/optimizers/adamw
- cpu_version/optimizers/amsgrad
- cpu_version/optimizers/nag
- cpu_version/optimizers/optimizer
- cpu_version/optimizers/rmsprop
- cpu_version/optimizers/sgd
- cpu_version/optimizers/sgdmomentum
- cpu_version/optimizers/testoptimizers
- full_library
- gpu_version/ffi/command_buffer
- gpu_version/ffi/ffi
- gpu_version/ffi/gpu_engine
- gpu_version/ffi/op_codes
- gpu_version/ffi/tape_decoder
- gpu_version/gpu_version
- gpu_version/optimizer/adam
- gpu_version/optimizer/optimizer
- gpu_version/optimizer/sgd
- gpu_version/seq_model
- gpu_version/tapelayertypes/average_pooling_tape_layer
- gpu_version/tapelayertypes/batch_normalization_tape_layer
- gpu_version/tapelayertypes/conv_2d_tape_layer
- gpu_version/tapelayertypes/conv_lstm_tape_layer
- gpu_version/tapelayertypes/dense_tape_layer
- gpu_version/tapelayertypes/dropout_tape_layer
- gpu_version/tapelayertypes/dual_lstm_tape_layer
- gpu_version/tapelayertypes/embedding_tape_layer
- gpu_version/tapelayertypes/flatten_tape_layer
- gpu_version/tapelayertypes/gelu_tape_layer
- gpu_version/tapelayertypes/global_average_pooling_tape_layer
- gpu_version/tapelayertypes/layer_normalization_tape_layer
- gpu_version/tapelayertypes/lstm_tape_layer
- gpu_version/tapelayertypes/max_pooling_tape_layer
- gpu_version/tapelayertypes/multi_head_attention_tape_layer
- gpu_version/tapelayertypes/positional_encoding_tape_layer
- gpu_version/tapelayertypes/relu_tape_layer
- gpu_version/tapelayertypes/rnn_tape_layer
- gpu_version/tapelayertypes/sigmoid_matrix_tape_layer
- gpu_version/tapelayertypes/single_head_attention_tape_layer
- gpu_version/tapelayertypes/tape_layer
- gpu_version/tapelayertypes/transformer_encoder_block_tape_layer
- logger
- tensor/safe_tensor_exporter
- tensor/safe_tensor_loader
- tensor/tensor
- tensor/tensor_cpu_gpu
- tensor/tensor_gpu
- tensor/tensor_math_cpu
- tensor/tensor_math_gpu
- tensor/type_aliases