1 files changed, 0 insertions, 106 deletions
diff --git a/chapters/variable.adoc b/chapters/variable.adoc
deleted file mode 100644
index 1f7da51..0000000
--- a/chapters/variable.adoc
+++ /dev/null
@@ -1,106 +0,0 @@
-//
-// 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);
-}
-
-----