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authorEric Kunze <eric.kunze@arm.com>2020-10-01 18:50:46 -0700
committerEric Kunze <eric.kunze@arm.com>2020-10-01 18:50:46 -0700
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tree74bde543bc11bf43208fa4b3789e2def23919890 /chapters/comparison.adoc
parentc92cb063a2ebfad2fd9ffd4c4a73184327b864ed (diff)
downloadspecification-0.20.0.tar.gz
TOSA spec 0.20.0, initial public versionv0.20.0
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+//
+// This confidential and proprietary software may be used only as
+// authorised by a licensing agreement from ARM Limited
+// (C) COPYRIGHT 2020 ARM Limited
+// ALL RIGHTS RESERVED
+// The entire notice above must be reproduced on all authorised
+// copies and copies may only be made to the extent permitted
+// by a licensing agreement from ARM Limited.
+
+=== Comparison Operators
+
+==== EQUAL
+
+Elementwise comparison operation
+
+*Arguments:*
+
+|===
+|Argument|Type|Name|Shape|Description
+
+|Input|in_t*|input1|shape1|Input tensor from 1 to 4 dims
+|Input|in_t*|input2|shape2|Input tensor with the same rank as Input 0
+|Output|out_t*|output|shape|Output tensor of same type, as the input tensors, with broadcast shape if necessary
+|===
+
+*Operation Function:*
+
+[source,c]
+----
+for_each (index in shape) {
+ index1 = apply_broadcast(shape, shape1, index)
+ index2 = apply_broadcast(shape, shape2, index)
+ int32_t value1 = tensor_read<in_t>(input1, shape1, index1)
+ int32_t value2 = tensor_read<in_t>(input2, shape2, index2)
+ bool_t acc = (value1 == value2) ? True : False
+ tensor_write<out_t>(output, shape, index, acc)
+}
+----
+
+*Supported Data Types:*
+
+|===
+|Profile|Mode|in_t|out_t
+
+|Any|signed 32|int32|bool
+|MI, MT|float|float|bool
+|===
+
+==== GREATER
+
+Elementwise greater than comparison operation
+
+*Arguments:*
+
+|===
+|Argument|Type|Name|Shape|Description
+|Input|in_t*|input1|shape1|Input tensor from 1 to 4 dims
+|Input|in_t*|input2|shape2|Input tensor with the same rank as Input 0
+|Output|out_t*|output|shape|Output tensor of same type, as the input tensors, with broadcast shape if necessary
+|===
+
+*Operation Function:*
+
+[source,c]
+----
+for_each (index in shape) {
+ index1 = apply_broadcast(shape, shape1, index)
+ index2 = apply_broadcast(shape, shape2, index)
+ int32_t value1 = tensor_read<in_t>(input1, shape1, index1)
+ int32_t value2 = tensor_read<in_t>(input2, shape2, index2)
+ bool_t acc = (value1 > value2) ? True : False
+ tensor_write<out_t>(output, shape, index, acc)
+}
+----
+
+*Supported Data Types:*
+|===
+|Profile|Mode|in_t|out_t
+
+|Any|signed 32|int32|bool
+|MI, MT|float|float|bool
+|===
+
+==== GREATER_EQUAL
+
+Elementwise comparison operation
+
+*Arguments:*
+
+|===
+|Argument|Type|Name|Shape|Description
+
+|Input|in_t*|input1|shape1|Input tensor from 1 to 4 dims
+|Input|in_t*|input2|shape2|Input tensor with the same rank as Input 0
+|Output|out_t*|output|shape|Output tensor of same type, as the input tensors, with broadcast shape if necessary
+|===
+
+*Operation Function:*
+
+[source,c]
+----
+for_each (index in shape) {
+ index1 = apply_broadcast(shape, shape1, index)
+ index2 = apply_broadcast(shape, shape2, index)
+ int32_t value1 = tensor_read<in_t>(input1, shape1, index1)
+ int32_t value2 = tensor_read<in_t>(input2, shape2, index2)
+ bool_t acc = (value1 >= value2) ? True : False
+ tensor_write<out_t>(output, shape, index, acc)
+}
+----
+
+*Supported Data Types:*
+
+|===
+|Profile|Mode|in_t|out_t
+
+|Any|signed 32|int32|bool
+|MI, MT|float|float|bool
+|===