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Diffstat (limited to 'chapters/operators.adoc')
| -rw-r--r-- | chapters/operators.adoc | 35 |
1 files changed, 32 insertions, 3 deletions
diff --git a/chapters/operators.adoc b/chapters/operators.adoc index db252c2..fa8cd47 100644 --- a/chapters/operators.adoc +++ b/chapters/operators.adoc @@ -1,7 +1,7 @@ // // This confidential and proprietary software may be used only as // authorised by a licensing agreement from ARM Limited -// (C) COPYRIGHT 2020 ARM Limited +// (C) COPYRIGHT 2020-2021 ARM Limited // ALL RIGHTS RESERVED // The entire notice above must be reproduced on all authorised // copies and copies may only be made to the extent permitted @@ -11,8 +11,37 @@ === Operator Parameters -Each operator has a set of input and output operands. The operands will be referenced during operator execution. Operators may also have a set of operator attributes. Operator attributes are expected to be constant values during compilation and may not be provided at execution time. -For elementwise operations, the scaling of the output can be independent from the data type of the input. Thus 8-bit operations may output 16-bit data values. +An operator processes input operands to produce output operands. An operator can have three types of parameters: + +* 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. + +=== Operator Graphs + +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: + +.... +shape_list_t tosa_input_shape(tosa_graph_t graph); +shape_list_t tosa_output_shape(tosa_graph_t graph); +.... + +Similarly the type tensor_list_t will be used for a list of tensors and the following function returns the shape of a tensor list: +.... +shape_list_t tensor_list_shape(tosa_list_t tensor_list); +.... + +The following function denotes the execution of a TOSA graph, on an input tensor list to produce an output tensor list. + +.... +tosa_execute_graph(tosa_graph_t graph, tosa_list_t input_list, tosa_list_t output_list) { + assert(tensor_list_shape(input_list)==tosa_input_shape(graph)); + assert(tensor_list_shape(output_list)==tosa_output_shape(graph)); + <Execute TOSA graph operators as defined in this specification> +} +.... + +Note that within the graph, each input operand is instantiated as a PLACEHOLDER operator. include::tensor_ops.adoc[] |