Add ERF activation function

Defined for floating-point types only.
For integer versions, a TABLE should be used.

Change-Id: Ieaec6e6eb3227c5dcd9741cddd57426002a8db4d
Signed-off-by: Eric Kunze <eric.kunze@arm.com>

5 files changed, 201 insertions, 1 deletions

diff --git a/chapters/activation_funcs.adoc b/chapters/activation_funcs.adoc
index 46fa19d..1acaf56 100644
--- a/chapters/activation_funcs.adoc
+++ b/chapters/activation_funcs.adoc
@@ -28,6 +28,32 @@ for_each(index in shape) {
 }
 ----
 
+==== ERF
+
+// erf(z) = \frac{2}{\sqrt{\pi}} \int_{0}^{z} e^{-t^2} dt
+Error function:
+
+.Calculation for the error function
+image::erf.svg["Error function", align="center"]
+
+For quantized integer data types, the TABLE operator should be used instead with
+the following definition.
+
+The ERF table has 513 entries each of 16-bit precision and covering the input range -4.0 to +4.0 in steps of 1/64.
+
+[source,c++]
+----
+int16_t erf_reference(int16_t x) { // input x range is -256 to + 256 inclusive
+    F64 v = (double)x / (double)64;
+    v = erf(v);
+    return round_to_nearest_int(32768.0 * v);
+}
+
+generate_lookup_table(&erf_table, &erf_reference);
+----
+
+include::{generated}/operators/ERF.adoc[]
+
 ==== SIGMOID
 
 Applies the sigmoid logistic function to each element of the input tensor.
diff --git a/chapters/introduction.adoc b/chapters/introduction.adoc
index b369070..955f310 100644
--- a/chapters/introduction.adoc
+++ b/chapters/introduction.adoc
@@ -260,7 +260,7 @@ Otherwise:the result must be within 1 ulp of the mathematical result.
 Otherwise if the input is a zero the output must be an infinity of the same sign. +
 Otherwise the result must be within 1 ulp of the mathematical result.
 
-| <<SIGMOID>>, <<TANH>>, <<POW>>, <<EXP>>, <<LOG>>
+| <<SIGMOID>>, <<TANH>>, <<POW>>, <<EXP>>, <<LOG>>, <<ERF>>
 | If the input to LOG is less than zero then the result must be a NaN. +
 If the inputs to POW are both zero then the result must be a NaN. +
 If the first input to POW is less than zero and the second input is not an integer then the result must be a NaN. +
diff --git a/figures/erf.svg b/figures/erf.svg
new file mode 100644
index 0000000..bb63a46
--- /dev/null
+++ b/figures/erf.svg
@@ -0,0 +1,145 @@
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diff --git a/tools/dictionary.dic b/tools/dictionary.dic
index da2e28c..70e556a 100644
--- a/tools/dictionary.dic
+++ b/tools/dictionary.dic
@@ -22,6 +22,8 @@ CPUs
 denormalizing
 DEPTHWISE
 Elementwise
+ERF
+erf
 FFT
 fft
 fp
diff --git a/tosa.xml b/tosa.xml
index f4186e3..8de564e 100644
--- a/tosa.xml
+++ b/tosa.xml
@@ -664,6 +664,33 @@
         </typesupport>
       </operator>
       <operator>
+        <name>ERF</name>
+        <arguments>
+          <argument category="input" name="input" type="in_out_t*" shape="shape">
+            <description>Input tensor</description>
+            <levellimit value="rank(shape)" limit="MAX_RANK"/>
+          </argument>
+          <argument category="output" name="output" type="in_out_t*" shape="shape">
+            <description>Output tensor of same type and shape as input</description>
+          </argument>
+        </arguments>
+        <types>
+          <type name='in_out_t'/>
+        </types>
+        <typesupport mode="fp16" in_out_t="fp16_t">
+          <profile name="MI"/>
+          <profile name="MT"/>
+        </typesupport>
+        <typesupport mode="bf16" in_out_t="bf16_t">
+          <profile name="MI"/>
+          <profile name="MT"/>
+        </typesupport>
+        <typesupport mode="fp32" in_out_t="fp32_t">
+          <profile name="MI"/>
+          <profile name="MT"/>
+        </typesupport>
+      </operator>
+      <operator>
         <name>SIGMOID</name>
         <arguments>
           <argument category="input" name="input" type="tensor_t" shape="shape" tensor-element-type="in_out_t">