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authorGian Marco Iodice <gianmarco.iodice@arm.com>2018-04-27 10:39:06 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:50:48 +0000
commit2213d4b334567d0cb7f283090d42b5fb1b70f66b (patch)
tree84882854c84af8e184c44a27932ba0c2576ae641 /arm_compute/runtime/NEON
parentebf14a51104205b46c659e042b3077307568c8f6 (diff)
downloadComputeLibrary-2213d4b334567d0cb7f283090d42b5fb1b70f66b.tar.gz
COMPMID-1096 - Add fast_math flag to CLConvolutionLayer
COMPMID-1103 - CLWinogradConvolutionLayer mismatches Change-Id: Iceaa9482a1790ec39d2720c220261aaea8043978 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129398 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON')
-rw-r--r--arm_compute/runtime/NEON/functions/NEConvolutionLayer.h2
-rw-r--r--arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h10
-rw-r--r--arm_compute/runtime/NEON/functions/NEReshapeLayer.h4
3 files changed, 8 insertions, 8 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h
index ce9a3ed4f2..b82ba89f7c 100644
--- a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h
@@ -52,7 +52,7 @@ public:
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of inputs.
- * Data types supported: QS8/QASYMM8/QS16/F32.
+ * Data types supported: QS8/QASYMM8/QS16/F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
* Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type.
diff --git a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
index 7d5e397e80..ba96ae6cfa 100644
--- a/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
+++ b/arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h
@@ -37,11 +37,11 @@ class NEPixelWiseMultiplication : public INESimpleFunction
public:
/** Initialise the kernel's inputs, output and convertion policy.
*
- * @param[in, out] input1 An input tensor. Data types supported: U8/QS8/S16/F32.
+ * @param[in, out] input1 An input tensor. Data types supported: U8/QS8/S16/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 An input tensor. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported: U8/QS8/S16/F32.
+ * @param[out] output Output tensor. Data types supported: U8/QS8/S16/F16/F32.
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. For QS8 and QS16 scale must be 1.
* @param[in] overflow_policy Overflow policy.
@@ -50,9 +50,9 @@ public:
void configure(ITensor *input1, ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
*
- * @param[in] input1 First tensor info input. Data types supported: U8/QS8/S16/F32.
- * @param[in] input2 Second tensor info input. Data types supported: U8/QS8/S16/F32.
- * @param[in] output Output tensor info. Data types supported: U8/QS8/S16/F32.
+ * @param[in] input1 First tensor info input. Data types supported: U8/QS8/S16/F16/F32.
+ * @param[in] input2 Second tensor info input. Data types supported: U8/QS8/S16/F16/F32.
+ * @param[in] output Output tensor info. Data types supported: U8/QS8/S16/F16/F32.
* @param[in] scale Scale to apply after multiplication. Must be positive.
* @param[in] overflow_policy Overflow policy.
* @param[in] rounding_policy Rounding policy.
diff --git a/arm_compute/runtime/NEON/functions/NEReshapeLayer.h b/arm_compute/runtime/NEON/functions/NEReshapeLayer.h
index 369f50e147..0bab534ebc 100644
--- a/arm_compute/runtime/NEON/functions/NEReshapeLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEReshapeLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -37,7 +37,7 @@ class NEReshapeLayer : public INESimpleFunction
public:
/** Initialise the kernel's inputs and outputs
*
- * @param[in] input First tensor input. Data type supported: U8/S8/QS8/U16/S16/QS16/U32/S32/F16/F32
+ * @param[in] input First tensor input. Data type supported: U8/S8/QS8/QASYMM8//U16/S16/QS16/U32/S32/F16/F32
* @param[out] output Output tensor. Data type supported: Same as @p input
*/
void configure(const ITensor *input, ITensor *output);