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-rw-r--r--chapters/activation_funcs.adoc15
1 files changed, 8 insertions, 7 deletions
diff --git a/chapters/activation_funcs.adoc b/chapters/activation_funcs.adoc
index 7a4a7b6..5c8e36f 100644
--- a/chapters/activation_funcs.adoc
+++ b/chapters/activation_funcs.adoc
@@ -25,13 +25,14 @@ Clamp to an arbitrary minimum and maximum value. Note that the maximum and minim
|===
*Operation Function:*
-....
+[source,c++]
+----
for_each(index in shape) {
acc_t value = tensor_read<in_t>(input, shape, index);
acc = (in_t)apply_clip<acc_t>(value, min_val, max_val);
tensor_write<in_t>(output, shape, index, acc);
}
-....
+----
*Supported Data Types:*
@@ -59,7 +60,7 @@ ReLU with a scalar maximum value.
*Operation Function:*
-[source,c]
+[source,c++]
----
for_each(index in shape) {
in_t value = tensor_read<in_t>(input, shape, index);
@@ -86,8 +87,8 @@ the following definition.
The sigmoid table has 513 entries each of 16-bit precision and covering the input range -16.0 to +16.0 in steps of 1/16.
-[source,c]
-....
+[source,c++]
+----
int sigmoid_reference(int x) {|// input x range is -256 to + 256 inclusive
F64 v = (double)x / (double)16;
v = 1.0/(1.0 + exp(-v));
@@ -95,7 +96,7 @@ int sigmoid_reference(int x) {|// input x range is -256 to + 256 inclusive
}
generate_lookup_table(&sigmoid_table, &sigmoid_reference);
-....
+----
*Arguments:*
@@ -123,7 +124,7 @@ the following definition.
The tanh_table has 513 entries each of 16-bit precision and covering the input range -8.0 to +8.0 in steps of 1/32. The table is specified by:
-[source,c]
+[source,c++]
----
int tanh_reference(int x) { // input x range is -256 to +256 inclusive
F64 v = (double)x/(double)32;