diff options
Diffstat (limited to 'chapters/reduction.adoc')
| -rw-r--r-- | chapters/reduction.adoc | 90 |
1 files changed, 45 insertions, 45 deletions
diff --git a/chapters/reduction.adoc b/chapters/reduction.adoc index 11db960..fdf30df 100644 --- a/chapters/reduction.adoc +++ b/chapters/reduction.adoc @@ -18,9 +18,9 @@ Reduce a tensor along the given axis with a logical AND operation |=== |Argument|Type|Name|Shape|Description -|Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 +|Input|in_out_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 -|Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. +|Output|in_out_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* @@ -32,22 +32,22 @@ ERROR_IF(shape[axis] != 1); // Initialize output state to true for_each(index in shape) { - tensor_write<in_t>(output, shape, index, true); + tensor_write<in_out_t>(output, shape, index, true); } for_each(index in shape1) { out_index = index; out_index[axis] = 0; - in_t value = tensor_read<in_t>(input, shape1, index); - in_t state = tensor_read<in_t>(output, shape, out_index); + in_out_t value = tensor_read<in_out_t>(input, shape1, index); + in_out_t state = tensor_read<in_out_t>(output, shape, out_index); state = state && value; - tensor_write<in_t>(output, shape, out_index, state); + tensor_write<in_out_t>(output, shape, out_index, state); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_out_t |Any|Boolean|bool_t |=== @@ -61,9 +61,9 @@ Reduce a tensor along the given axis with a logical OR operation |=== |Argument|Type|Name|Shape|Description -|Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 +|Input|in_out_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 -|Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. +|Output|in_out_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* @@ -75,22 +75,22 @@ ERROR_IF(shape[axis] != 1); // Initialize output state to false for_each(index in shape) { - tensor_write<in_t>(output, shape, index, false); + tensor_write<in_out_t>(output, shape, index, false); } for_each(index in shape1) { out_index = index; out_index[axis] = 0; - in_t value = tensor_read<in_t>(input, shape1, index); - in_t state = tensor_read<in_t>(output, shape, out_index); + in_out_t value = tensor_read<in_out_t>(input, shape1, index); + in_out_t state = tensor_read<in_out_t>(output, shape, out_index); state = state || value; - tensor_write<in_t>(output, shape, out_index, state); + tensor_write<in_out_t>(output, shape, out_index, state); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_out_t |Any|Boolean|bool_t |=== @@ -104,9 +104,9 @@ Reduce a tensor along the given axis with a maximum operation |=== |Argument|Type|Name|Shape|Description -|Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 +|Input|in_out_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 -|Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. +|Output|in_out_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* @@ -116,22 +116,22 @@ Reduce a tensor along the given axis with a maximum operation ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { - tensor_write<in_t>(output, shape, index, minimum<in_t>); + tensor_write<in_out_t>(output, shape, index, minimum<in_out_t>); } for_each(index in shape1) { out_index = index; out_index[axis] = 0; - in_t value = tensor_read<in_t>(input, shape1, index); - in_t state = tensor_read<in_t>(output, shape, out_index); - state = apply_max<in_t>(state, value); - tensor_write<in_t>(output, shape, out_index, state); + in_out_t value = tensor_read<in_out_t>(input, shape1, index); + in_out_t state = tensor_read<in_out_t>(output, shape, out_index); + state = apply_max<in_out_t>(state, value); + tensor_write<in_out_t>(output, shape, out_index, state); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_out_t |Any|signed 8|int8_t |Any|signed 16|int16_t @@ -147,9 +147,9 @@ Reduce a tensor along the given axis with a minimum operation |=== |Argument|Type|Name|Shape|Description -|Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 +|Input|in_out_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 -|Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. +|Output|in_out_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* @@ -159,22 +159,22 @@ Reduce a tensor along the given axis with a minimum operation ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { - tensor_write<in_t>(output, shape, index, maximum<in_t>); + tensor_write<in_out_t>(output, shape, index, maximum<in_out_t>); } for_each(index in shape1) { out_index = index; out_index[axis] = 0; - in_t value = tensor_read<in_t>(input, shape1, index); - in_t state = tensor_read<in_t>(output, shape, out_index); - state = apply_min<in_t>(state, value); - tensor_write<in_t>(output, shape, out_index, state); + in_out_t value = tensor_read<in_out_t>(input, shape1, index); + in_out_t state = tensor_read<in_out_t>(output, shape, out_index); + state = apply_min<in_out_t>(state, value); + tensor_write<in_out_t>(output, shape, out_index, state); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_out_t |Any|signed 8|int8_t |Any|signed 16|int16_t @@ -191,9 +191,9 @@ Reduce a tensor along the given axis by computing the product of the axis. |=== |Argument|Type|Name|Shape|Description -|Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 +|Input|in_out_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 -|Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. +|Output|in_out_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* @@ -203,22 +203,22 @@ Reduce a tensor along the given axis by computing the product of the axis. ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { - tensor_write<in_t>(output, shape, index, 1.0); + tensor_write<in_out_t>(output, shape, index, 1.0); } for_each(index in shape1) { out_index = index; out_index[axis] = 0; - in_t value = tensor_read<in_t>(input, shape1, index); - in_t state = tensor_read<in_t>(output, shape, out_index); + in_out_t value = tensor_read<in_out_t>(input, shape1, index); + in_out_t state = tensor_read<in_out_t>(output, shape, out_index); state = state * value; - tensor_write<in_t>(output, shape, out_index, state); + tensor_write<in_out_t>(output, shape, out_index, state); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_out_t |MI, MT|floating-point|float_t |=== @@ -232,9 +232,9 @@ Reduce a tensor along the given axis by computing the sum of the axis. |=== |Argument|Type|Name|Shape|Description -|Input|in_t*|input|shape1|Input tensor with rank from 1 to 4 +|Input|in_out_t*|input|shape1|Input tensor with rank from 1 to 4 |Attribute|int32_t|axis|-|Axis to reduce, in range from 0 to rank(shape1)-1 -|Output|in_t*|output|shape|Output tensor. Same rank as the input tensor. +|Output|in_out_t*|output|shape|Output tensor. Same rank as the input tensor. |=== *Operation Function:* @@ -244,22 +244,22 @@ Reduce a tensor along the given axis by computing the sum of the axis. ERROR_IF(axis < 0 || axis >= rank(shape1)); ERROR_IF(shape[axis] != 1); for_each(index in shape) { - tensor_write<in_t>(output, shape, index, 0); + tensor_write<in_out_t>(output, shape, index, 0); } for_each(index in shape1) { out_index = index; out_index[axis] = 0; - in_t value = tensor_read<in_t>(input, shape1, index); - in_t state = tensor_read<in_t>(output, shape, out_index); - state = apply_add<in_t>(state, value); - tensor_write<in_t>(output, shape, out_index, state); + in_out_t value = tensor_read<in_out_t>(input, shape1, index); + in_out_t state = tensor_read<in_out_t>(output, shape, out_index); + state = apply_add<in_out_t>(state, value); + tensor_write<in_out_t>(output, shape, out_index, state); } ---- *Supported Data Types:* |=== -|Profile|Mode|in_t +|Profile|Mode|in_out_t |Any|signed 32|int32_t |MI, MT|floating-point|float_t |