From bc2a3db54ecee48fe2236f7fc03da8fd07d81ca0 Mon Sep 17 00:00:00 2001 From: Jeremy Johnson Date: Tue, 27 Sep 2022 13:50:00 +0100 Subject: Rename FLOAT type to FP32 Update tensor operations naming to state input type as TxT in all cases. Effects CONV2D, CONV3D, DEPTHWISE_CONV2D, FULLY_CONNECTED, TRANSPOSE_CONV2D. Signed-off-by: Jeremy Johnson Change-Id: Ic959acfcb3aa0a910b33b774a5a85fac08219205 --- reference_model/src/ops/ewise_binary.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'reference_model/src/ops/ewise_binary.h') diff --git a/reference_model/src/ops/ewise_binary.h b/reference_model/src/ops/ewise_binary.h index b2c92a4..6b0efaf 100644 --- a/reference_model/src/ops/ewise_binary.h +++ b/reference_model/src/ops/ewise_binary.h @@ -1,5 +1,5 @@ -// Copyright (c) 2020, ARM Limited. +// Copyright (c) 2020-2022, ARM Limited. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. @@ -36,7 +36,7 @@ namespace TosaReference // Eigen::Tensor does support some binary element-wise natively (e.g. CWiseMax, or '+', etc.) // which might be faster since it could be implemented with SIMD instructions // the way of registering lambda + .binaryExpr() might sacrifice performance here -// but it can avoid partially specialization for combination of {rankN, rank0} x {FLOAT/INT32, QU8, ...} +// but it can avoid partially specialization for combination of {rankN, rank0} x {FP32/INT32, QU8, ...} // needs to revisit if performance becomes a bottleneck here template class BinaryNodeBase : public GraphNode -- cgit v1.2.1