diff options
Diffstat (limited to 'chapters/reduction.adoc')
| -rw-r--r-- | chapters/reduction.adoc | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/chapters/reduction.adoc b/chapters/reduction.adoc index af44ab6..0739dfd 100644 --- a/chapters/reduction.adoc +++ b/chapters/reduction.adoc @@ -27,7 +27,7 @@ Reduce a tensor along the given axis with a logical AND operation [source,c] ---- -assert(0<=axis && axis<dimensions(in_shape)) +assert(0<=axis && axis<rank(in_shape)) assert(out_shape[axis]==1) for_each (index in out_shape) { tensor_write<in_t>(output, out_shape, index, true) @@ -68,7 +68,7 @@ Reduce a tensor along the given axis with a logical OR operation [source,c] ---- -assert(0<=axis && axis<dimensions(in_shape)) +assert(0<=axis && axis<rank(in_shape)) assert(out_shape[axis]==1) for_each (index in out_shape) { tensor_write<in_t>(output, out_shape, index, false) @@ -109,7 +109,7 @@ Reduce a tensor along the given axis with a maximum operation [source,c] ---- -assert(0<=axis && axis<dimensions(in_shape)) +assert(0<=axis && axis<rank(in_shape)) assert(out_shape[axis]==1) for_each (index in out_shape) { tensor_write<in_t>(output, out_shape, index, minimum<in_t>) @@ -156,7 +156,7 @@ Quantization is ignored when doing the REDUCE_MIN operation. The input and outpu [source,c] ---- -assert(0<=axis && axis<dimensions(in_shape)) +assert(0<=axis && axis<rank(in_shape)) assert(out_shape[axis]==1) for_each (index in out_shape) { tensor_write<in_t>(output, out_shape, index, maximum<in_t>) @@ -200,7 +200,7 @@ Reduce a tensor along the given axis by computing the product of the axis. [source,c] ---- -assert(0<=axis && axis<dimensions(in_shape)) +assert(0<=axis && axis<rank(in_shape)) assert(out_shape[axis]==1) for_each (index in out_shape) { tensor_write<in_t>(output, out_shape, index, 1.0) @@ -241,7 +241,7 @@ Reduce a tensor along the given axis by computing the sum of the axis. [source,c] ---- -assert(0<=axis && axis<dimensions(in_shape)) +assert(0<=axis && axis<rank(in_shape)) assert(out_shape[axis]==1) for_each (index in out_shape) { tensor_write<in_t>(output, out_shape, index, 0) |