diff options
Diffstat (limited to 'chapters/ewise_binary.adoc')
| -rw-r--r-- | chapters/ewise_binary.adoc | 64 |
1 files changed, 32 insertions, 32 deletions
diff --git a/chapters/ewise_binary.adoc b/chapters/ewise_binary.adoc index dcd44b4..bf16469 100644 --- a/chapters/ewise_binary.adoc +++ b/chapters/ewise_binary.adoc @@ -21,8 +21,8 @@ include::{generated}/operators/ADD.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = apply_add<in_out_t>(value1, value2); @@ -42,8 +42,8 @@ include::{generated}/operators/ARITHMETIC_RIGHT_SHIFT.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); @@ -73,8 +73,8 @@ include::{generated}/operators/BITWISE_AND.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = value1 & value2; @@ -94,8 +94,8 @@ include::{generated}/operators/BITWISE_OR.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = value1 | value2; @@ -115,8 +115,8 @@ include::{generated}/operators/BITWISE_XOR.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = value1 ^ value2; @@ -139,8 +139,8 @@ include::{generated}/operators/INTDIV.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); REQUIRE(value2 != 0); @@ -164,8 +164,8 @@ include::{generated}/operators/LOGICAL_AND.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = value1 && value2; @@ -185,8 +185,8 @@ include::{generated}/operators/LOGICAL_LEFT_SHIFT.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); REQUIRE(0 <= value2 && value2 <= 31); @@ -207,8 +207,8 @@ include::{generated}/operators/LOGICAL_RIGHT_SHIFT.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); REQUIRE(0 <= value2 && value2 <= 31); @@ -229,8 +229,8 @@ include::{generated}/operators/LOGICAL_OR.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = value1 || value2; @@ -250,8 +250,8 @@ include::{generated}/operators/LOGICAL_XOR.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = value1 != value2; @@ -271,8 +271,8 @@ include::{generated}/operators/MAXIMUM.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = apply_max(value1, value2); @@ -292,8 +292,8 @@ include::{generated}/operators/MINIMUM.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = apply_min(value1, value2); @@ -314,8 +314,8 @@ include::{generated}/operators/MUL.adoc[] ---- ERROR_IF(in_t != int32_t && shift > 0); for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_t value1 = tensor_read<in_t>(input1, shape1, index1); in_t value2 = tensor_read<in_t>(input2, shape2, index2); out_t result; @@ -344,8 +344,8 @@ include::{generated}/operators/POW.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = apply_pow<in_out_t>(value1, value2); @@ -365,8 +365,8 @@ include::{generated}/operators/SUB.adoc[] [source,c++] ---- for_each(index in shape) { - index1 = apply_broadcast(shape, shape1, index); - index2 = apply_broadcast(shape, shape2, index); + dim_t index1 = apply_broadcast(shape, shape1, index); + dim_t index2 = apply_broadcast(shape, shape2, index); in_out_t value1 = tensor_read<in_out_t>(input1, shape1, index1); in_out_t value2 = tensor_read<in_out_t>(input2, shape2, index2); in_out_t result = apply_sub<in_out_t>(value1, value2); |