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-rw-r--r--chapters/operators.adoc32
1 files changed, 9 insertions, 23 deletions
diff --git a/chapters/operators.adoc b/chapters/operators.adoc
index 3a4c831..d6d1f13 100644
--- a/chapters/operators.adoc
+++ b/chapters/operators.adoc
@@ -9,23 +9,14 @@
== Operators
-=== Operator Arguments
+=== Operator Parameters
-Operators process input arguments to produce output arguments.
-Their behavior can be configured using attribute arguments.
-Arguments may have one of the following types:
+An operator processes input operands to produce output operands. An operator can have three types of parameters:
-* `tensor_t<element_type>`, abbreviated `T<element_type>`, represents a tensor whose elements are of type `element_type` where `element_type` can be any of the data types supported in TOSA.
-* `tensor_list_t` represents a list of tensors. When lists are homogeneous, i.e. contain tensors of the same type, their type is further qualified as follows: `tensor_list_t<T<element_type>>`.
-* `tosa_graph_t` represents a TOSA graph (see <<operator-graphs>>).
+* An input operand. This must be a tensor or a list of tensors and data is read by the operation.
+* An output operand. This must be a tensor or a list of tensors and data is written by the operation.
+* An attribute. This is a parameter that is constant for a particular instance of the operator. It may have any data type supported by TOSA. It is expected to be set at compile time.
-Arguments belong to one of three categories: Input, Output, or Attribute. The category to which an argument belongs further constrains its type:
-
-* An Input argument must be a tensor or a list of tensors used to provide the data read by the operation.
-* An Output argument must be a tensor or a list of tensors into which the data produced by the operation is written.
-* An Attribute argument is constant, i.e. its value is known at compilation time. It may have any data type supported by TOSA.
-
-[[operator-graphs]]
=== Operator Graphs
A TOSA graph is a collection of TOSA operators where:
@@ -36,7 +27,7 @@ A TOSA graph is a collection of TOSA operators where:
* 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:
+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++]
----
@@ -50,16 +41,11 @@ Similarly the type tensor_list_t will be used for a list of tensors and the foll
shape_list_t tensor_list_shape(tosa_list_t tensor_list);
----
-The following function denotes the execution of a TOSA graph within a TOSA context,
-on an input tensor list to produce an output tensor list. A TOSA context, represented
-by `tosa_context_t` provides the environment in which a TOSA graph is executed.
-Any side-effects that result from the execution of a graph within a context are not
-observable by graphs executing in a different context. Operators are executed in an
-implementation-defined order that must be a topological ordering of the TOSA graph.
+The following function denotes the execution of a TOSA graph, on an input tensor list to produce an output tensor list.
[source,c++]
----
-tosa_execute_graph(tosa_context_t context, tosa_graph_t graph, tosa_list_t input_list, tosa_list_t output_list, tosa_level_t level) {
+tosa_execute_graph(tosa_graph_t graph, tosa_list_t input_list, tosa_list_t output_list, tosa_level_t level) {
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) {
@@ -68,7 +54,7 @@ tosa_execute_graph(tosa_context_t context, tosa_graph_t graph, tosa_list_t input
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 the operator as defined by the operation function pseduo-code
- tosa_execute_operator(context, operator, level);
+ tosa_execute_operator(operator, level);
}
}
----