* more log
* split graph implementation into cpp file
* rename: ggml_qnn_graph -> qnn_graph
* add imput/output tensor to graph
* fix assert
* wip
* add _ggml_tensor field in qnn tensor
* add comments
* add set_data_buffer with raw memory buffer
* use set_data_buffer
* op param buffer use qnn_buffer_ptr
* add qnn_mem_buffer_slice
* use qnn_buffer_ptr as tensor buffer
* use new set_data_buffer to reduce copy
* ggml_qnn_op_config: add function to set input/output tensor before init node
* remove ggml_qnn_connectable_op_config and use ggml_qnn_single_op_config instead
* wip
* add initialize_op_nodes without tensor params
* wip
* add op caps table
* merge kGgmlOpToQnnOp and kOpCaps tables
* wip
* add cache parameter to create_tensors
* add init_from_ggml_graph
* disable gelu for all backend
* wip
* move op index calc to op config module
* use the ggml_tensor as parameter of build_graph
* add log
* use create_operation_from_op_tensor in old build_graph function
* remove unused constructors
* fix parameter count
* remove unused member func/var
* make init_from_ggml_graph as a class member: build_graph_from_ggml_graph
* move graph finalize into member function `finalize()`
* get graph key from ggml op tensor directly
* append output type
* reduce tensor key length
* add function to generate key from ggml_cgraph
* simplify graph cache insert and delete
* remove template param at get_qnn_graph_from_cache
* wip
* merge kQnnUnaryOpsTable and kQnnBinaryOpsTable
* refactor device_supports_op
* add log
* wip
* use framework function to check same shape
* wip
* extract some logic into separated function
* wip
* add execution function that runs graph
* add function to create qnn graph from ggml_cgraph with cache
* execute graph directly
* return null graph key for empty graph
* add more qualcomm chipset enums
* add cap for reshape
* disable some ops
* try to skip GGML_OP_VIEW
* moew log for view tensor
* append param tensor into intermedia tensor key
* use 'ordered' set
* fix warning in release
* wip
* redo: add convert nodes
This reverts commit 8448acd5ebf8fe86ab9d25313b64a15c811ef96e.
* align clang format with cann
* rename binary_op -> general_op
casue there're some op that will only tak 1 param
* Revert "rename binary_op -> general_op"
This reverts commit 5be63b1a0dc4614457785367dade62158fe46214.
* wip
* add GGML_OP_PERMUTE
* add GGML_OP_VIEW and GGML_OP_GET_ROWS
* wip
* Revert "wip"
This reverts commit 772462ca6cfa01ea31bde725c2da60076ad9385f.
* ggml_qnn_op_config now manager the construction of ggml_qnn_tensor
* wip
* add interface ggml_qnn_op_config
* add ggml_qnn_list_op_config
* add create_tensor and move tensor bind to execute
* wip
* rename: ggml_qnn_list_op_config -> ggml_qnn_matmul_op_config
* add tensortype to allow native tensor
* remove ggml_tensor param at ggml_qnn_tensor::create_tensor
* postpone the tensor id allocation to add_node
* add ggml_qnn_op_config_base
* trival change to reduct the param of function
* split bind_tensors into bind_input_tensors and bind_output_tensors
* implement ggml_qnn_single_op_config::create_tensors
next will set the prameter of transpose
* tensor: add bind buffer
* add parameter tensor type
* implement add_tensor_param
* set qnn_instance only at constructor
* set transpose tensor param
* move create_op_constructor into op-config module
* create QNN_OP_MAT_MUL from ggml_qnn_matmul_op_config
* try fix crash
* fix compiling error at older ndk (r23c)
* fix crash
* fix parameter tensor name
* update tensor dimension assignment and add TODO
* fix mat_mul graph creating
* fix MUL_MAT_256x16x10x1_256x1x10x1_16x1x10x1
* append type to graph cache key
* wip
* fix supported op
* update comment
* disable op other than add and mat_mul
* add convert op to adapt multi input/output format
* disable f16 for cpu backend according to official doc
https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/cpu_backend.html#supported-operations
* add supported data types flags in each backend
* remove unused functions
* append output type to graph key
* fix gpu backend by disable the different data type op
* fix cpu backend support ops
* fix duplicated tensor name
* append op name
* suppress warning
* remove unused code
nullname