| // |
| // This confidential and proprietary software may be used only as |
| // authorised by a licensing agreement from ARM Limited |
| // (C) COPYRIGHT 2023 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 |
| // by a licensing agreement from ARM Limited. |
| |
| === Variable Operators |
| |
| TOSA implements three variable operators for expressing persistent mutable values across multiple TOSA graph invocations. |
| |
| ==== VARIABLE |
| |
| Defines a new TOSA variable. |
| This is a persistent mutable value across multiple TOSA graph invocations. |
| Modifications are expressed using read/write semantics. |
| |
| include::{generated}/operators/VARIABLE.adoc[] |
| |
| [source,c++] |
| ---- |
| |
| tensor_t var_tensor = variable_tensor_lookup(uid); |
| |
| // Invocation for the first time |
| if (var_tensor == NULL) { |
| // Allocate the persistent mutable memory for the variable tensor |
| tensor_t var_tensor = variable_tensor_allocate<var_t>(var_shape, uid); |
| |
| if (initial_value != NULL) { |
| REQUIRE(var_t == in_t); |
| REQUIRE(var_shape == shape); |
| for_each (index in shape) { |
| // Copy data from initial_value to var_tensor |
| in_t value = tensor_read<in_t>(initial_value, shape, index); |
| tensor_write<in_t>(var_tensor.data, var_shape, index, value); |
| } |
| var_tensor.is_written = true; |
| } |
| } else { // Variable tensor has already been declared |
| // It's invalid to declare the second variable with the same uid in a single graph execution, |
| REQUIRE(!var_tensor.seen); |
| } |
| |
| var_tensor.seen = true; |
| |
| ---- |
| |
| ==== VARIABLE_WRITE |
| |
| Assigns a value to the pseudo-buffer resource holding a persistent mutable tensor. |
| |
| include::{generated}/operators/VARIABLE_WRITE.adoc[] |
| |
| [source,c++] |
| ---- |
| |
| tensor_t. variable_tensor = variable_tensor_lookup(uid); |
| // Check this variable tensor has been declared |
| REQUIRE(variable_tensor); |
| // The tensor has to be seen before to be written to |
| // The seen variable is cleared before each graph execution and set in declaration |
| REQUIRE(variable_tensor.seen); |
| // Input tensor's shape and variable_tensor's shape have to match |
| REQUIRE(variable_tensor.shape == shape); |
| // Input tensor's shape and variable_tensor's type have to match |
| REQUIRE(variable_tensor.type == in_t); |
| |
| for_each (index in shape) { |
| // Write data from the input to the pseudo-buffer resource |
| in_t value = tensor_read<in_t>(input1, shape, index); |
| tensor_write<tensor_t>(variable_tensor.data, variable_tensor.shape, index, value); |
| } |
| |
| variable_tensor.is_written = true; |
| |
| ---- |
| |
| ==== VARIABLE_READ |
| |
| Reads the value from a pseudo-buffer resource holding a persistent mutable tensor. |
| |
| include::{generated}/operators/VARIABLE_READ.adoc[] |
| |
| [source,c++] |
| ---- |
| |
| tensor_t variable_tensor = variable_tensor_lookup(uid); |
| // Check this variable tensor has been decalred |
| REQUIRE(variable_tensor != NULL); |
| // Check this variable tensor has been written |
| REQUIRE(variable_tensor.is_written); |
| // Output tensor's shape and variable_tensor's shape have to match |
| REQUIRE(variable_tensor.shape == shape); |
| // Output tensor's shape and variable_tensor's type have to match |
| REQUIRE(variable_tensor.type == out_t); |
| |
| for_each (index in shape) { |
| // Read data from pseudo-buffer resource to the output |
| out_t value = tensor_read<tensor_t>(variable_tensor.data, variable_tensor.shape, index); |
| tensor_write<out_t>(input1, shape, index, value); |
| } |
| |
| ---- |