// // 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(input1, shape1, index1) int32_t value2 = tensor_read(input2, shape2, index2) bool_t acc = (value1 == value2) ? True : False tensor_write(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(input1, shape1, index1) int32_t value2 = tensor_read(input2, shape2, index2) bool_t acc = (value1 > value2) ? True : False tensor_write(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(input1, shape1, index1) int32_t value2 = tensor_read(input2, shape2, index2) bool_t acc = (value1 >= value2) ? True : False tensor_write(output, shape, index, acc) } ---- *Supported Data Types:* |=== |Profile|Mode|in_t|out_t |Any|signed 32|int32|bool |MI, MT|float|float|bool |===