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Diffstat (limited to 'chapters/operators.adoc')
| -rw-r--r-- | chapters/operators.adoc | 22 |
1 files changed, 16 insertions, 6 deletions
diff --git a/chapters/operators.adoc b/chapters/operators.adoc index 75084d1..264063a 100644 --- a/chapters/operators.adoc +++ b/chapters/operators.adoc @@ -19,6 +19,14 @@ An operator processes input operands to produce output operands. An operator can === Operator Graphs +A TOSA graph is a collection of TOSA operators where: + +* The output of an operator in the graph may be connected to one or more inputs of other operators in the graph +* When an output is connected to an input the tensor list shapes must match +* The attributes of the operators are defined and considered part of the graph +* The attributes must be in the valid range permitted for the operator +* The tensor dimensions must be in the valid range permitted for the operator + Some operators, such as control flow operators, take a graph of other operators as an attribute. The type tosa_graph_t will denote a graph of operators and the following functions define the tensor shape list for the graph input and outputs: [source,c++] @@ -38,12 +46,14 @@ The following function denotes the execution of a TOSA graph, on an input tensor [source,c++] ---- tosa_execute_graph(tosa_graph_t graph, tosa_list_t input_list, tosa_list_t output_list) { - REQUIRE(tensor_list_shape(input_list)==tosa_input_shape(graph)); - REQUIRE(tensor_list_shape(output_list)==tosa_output_shape(graph)); - <Execute TOSA graph operators as defined in this specification> - if (tosa_graph_result_unpredictable == true) { - // Result of TOSA graph execution is unpredictable due to calling - // the unpredictable() function during execution. + ERROR_IF(tensor_list_shape(input_list) != tosa_input_shape(graph)); + ERROR_IF(tensor_list_shape(output_list) != tosa_output_shape(graph)); + for_each(operator in graph order) { + ERROR_IF(operator input tensors do not meet requirement of operator Arguments inputs) + ERROR_IF(operator attributes do not meet requirement of operator Arguments attributes) + ERROR_IF(operator output tensors do not meet requirement of operator Arguments outputs) + ERROR_IF(operator data types do not meet requirement of operator Supported Data Types) + <Execute operator as defined by the Operation Function pseduo-code> } } ---- |