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-rw-r--r--arm_compute/runtime/CL/functions/CLComparison.h10
-rw-r--r--arm_compute/runtime/CL/functions/CLCrop.h8
-rw-r--r--arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h9
-rw-r--r--arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h14
-rw-r--r--arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h63
-rw-r--r--arm_compute/runtime/CL/functions/CLElementwiseOperations.h124
-rw-r--r--arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h13
-rw-r--r--arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h12
-rw-r--r--arm_compute/runtime/CL/functions/CLLogicalAnd.h8
-rw-r--r--arm_compute/runtime/CL/functions/CLLogicalNot.h8
-rw-r--r--arm_compute/runtime/CL/functions/CLLogicalOr.h8
-rw-r--r--arm_compute/runtime/CL/functions/CLSoftmaxLayer.h11
-rw-r--r--arm_compute/runtime/CL/functions/CLWinogradInputTransform.h12
13 files changed, 270 insertions, 30 deletions
diff --git a/arm_compute/runtime/CL/functions/CLComparison.h b/arm_compute/runtime/CL/functions/CLComparison.h
index 8cc3e96ec5..3f984900ee 100644
--- a/arm_compute/runtime/CL/functions/CLComparison.h
+++ b/arm_compute/runtime/CL/functions/CLComparison.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -40,6 +40,14 @@ class CLComparison : public ICLSimpleFunction
public:
/** Initialise the kernel's inputs and outputs.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------|:--------|:--------|
+ * |All |All |U8 |
+ *
* @param[in] input1 Source tensor. Data types supported: All.
* The input1 tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in] input2 Source tensor. Data types supported: Same as @p input1.
diff --git a/arm_compute/runtime/CL/functions/CLCrop.h b/arm_compute/runtime/CL/functions/CLCrop.h
index dc509b5b84..d2b72a5eff 100644
--- a/arm_compute/runtime/CL/functions/CLCrop.h
+++ b/arm_compute/runtime/CL/functions/CLCrop.h
@@ -55,6 +55,14 @@ public:
*
* @note Supported tensor rank: up to 4
*
+ * Valid data layouts:
+ * - NHWC
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |All |F32 |
+ *
* @param[in] input Source tensor. Data type supported: All. Data layouts supported: NHWC.
* @param[out] output Destination tensor. Data type supported: F32
* @param[in] start Coordinates of where to start cropping the image.
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
index 6c1302fbf7..344ebd0afb 100644
--- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
+++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
@@ -61,6 +61,15 @@ public:
/** Initialize the function's source, destination, interpolation type and border_mode.
*
+ * Valid data layouts:
+ * - NHWC
+ * - NCHW
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |All |All |
+ *
* @param[in, out] input Source tensor. Data type supported: All.
* @param[out] output Destination tensor. Data type supported: same as @p input.
* @param[in] info Contains padding and policies to be used in the deconvolution.
diff --git a/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h
index a23500e16b..567de13508 100644
--- a/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h
@@ -87,6 +87,20 @@ public:
CLDirectDeconvolutionLayer &operator=(CLDirectDeconvolutionLayer &&) = default;
/** Set the input, weights, biases and output tensors.
*
+ * Valid data layouts:
+ * - NHWC
+ * - NCHW
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |src2 |dst |
+ * |:--------------|:------------------|:------|:--------------|
+ * |F16 |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |F32 |
+ * |QASYMM8 |QASYMM8 |S32 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED |
+ * |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |QASYMM8 |
+ * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |QASYMM8_SIGNED |
+ *
* @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs.
* Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
* @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input or QSYMM8_PER_CHANNEL if @p input is QASYMM8/QASYMM8_SIGNED.
diff --git a/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h b/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h
index fd6942cad5..79b79e89de 100644
--- a/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h
+++ b/arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h
@@ -54,6 +54,15 @@ public:
CLRsqrtLayer &operator=(CLRsqrtLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
@@ -100,6 +109,15 @@ public:
CLExpLayer &operator=(CLExpLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
@@ -146,6 +164,15 @@ public:
CLNegLayer &operator=(CLNegLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
@@ -192,6 +219,15 @@ public:
CLSinLayer &operator=(CLSinLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
@@ -238,6 +274,15 @@ public:
CLLogLayer &operator=(CLLogLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
@@ -284,6 +329,15 @@ public:
CLAbsLayer &operator=(CLAbsLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
@@ -330,6 +384,15 @@ public:
CLRoundLayer &operator=(CLRoundLayer &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
diff --git a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h
index 2b291517f3..555e84a251 100644
--- a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h
+++ b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h
@@ -55,19 +55,23 @@ public:
CLArithmeticAddition &operator=(CLArithmeticAddition &&);
/** Initialise the kernel's inputs, output and conversion policy.
*
- * Valid configurations (Input1,Input2) -> Output :
- *
- * - (U8,U8) -> U8
- * - (U8,U8) -> S16
- * - (S16,U8) -> S16
- * - (U8,S16) -> S16
- * - (S16,S16) -> S16
- * - (S32,S32) -> S32
- * - (F16,F16) -> F16
- * - (F32,F32) -> F32
- * - (QASYMM8,QASYMM8) -> QASYMM8
- * - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
- * - (QSYMM16,QSYMM16) -> QSYMM16
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |QASYMM8 |QASYMM8 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |QSYMM16 |QSYMM16 |QASYMM16 |
+ * |U8 |U8 |U8 |
+ * |U8 |U8 |S16 |
+ * |U8 |S16 |S16 |
+ * |S16 |U8 |S16 |
+ * |S16 |S16 |S16 |
+ * |S32 |S32 |S32 |
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
@@ -161,19 +165,23 @@ public:
CLArithmeticSubtraction &operator=(CLArithmeticSubtraction &&);
/** Initialise the kernel's inputs, output and conversion policy.
*
- * Valid configurations (Input1,Input2) -> Output :
- *
- * - (U8,U8) -> U8
- * - (U8,U8) -> S16
- * - (S16,U8) -> S16
- * - (U8,S16) -> S16
- * - (S16,S16) -> S16
- * - (S32,S32) -> S32
- * - (F16,F16) -> F16
- * - (F32,F32) -> F32
- * - (QASYMM8,QASYMM8) -> QASYMM8
- * - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
- * - (QSYMM16,QSYMM16) -> QSYMM16
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |QASYMM8 |QASYMM8 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |QSYMM16 |QSYMM16 |QASYMM16 |
+ * |U8 |U8 |U8 |
+ * |U8 |U8 |S16 |
+ * |U8 |S16 |S16 |
+ * |S16 |U8 |S16 |
+ * |S16 |S16 |S16 |
+ * |S32 |S32 |S32 |
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
@@ -267,6 +275,15 @@ public:
CLArithmeticDivision &operator=(CLArithmeticDivision &&);
/** Initialise the kernel's inputs, output.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
+ *
* @param[in, out] input1 First tensor input. Data types supported: 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 Second tensor input. Same as @p input1.
@@ -327,6 +344,22 @@ public:
CLElementwiseMax &operator=(CLElementwiseMax &&);
/** Initialise the kernel's inputs, output and conversion policy.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |QASYMM8 |QASYMM8 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |QSYMM16 |QSYMM16 |QASYMM16 |
+ * |U8 |U8 |U8 |
+ * |S16 |S16 |S16 |
+ * |S32 |S32 |S32 |
+ * |U32 |U32 |U32 |
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
+ *
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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 Second tensor input. Data types supported: same as @p input1.
@@ -387,6 +420,22 @@ public:
CLElementwiseMin &operator=(CLElementwiseMin &&);
/** Initialise the kernel's inputs, output and conversion policy.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |QASYMM8 |QASYMM8 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |QSYMM16 |QSYMM16 |QASYMM16 |
+ * |U8 |U8 |U8 |
+ * |S16 |S16 |S16 |
+ * |S32 |S32 |S32 |
+ * |U32 |U32 |U32 |
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
+ *
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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 Second tensor input. Data types supported: same as @p input1.
@@ -447,6 +496,20 @@ public:
CLElementwiseSquaredDiff &operator=(CLElementwiseSquaredDiff &&);
/** Initialise the kernel's inputs, output and conversion policy.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |QASYMM8 |QASYMM8 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |QSYMM16 |QSYMM16 |QASYMM16 |
+ * |U8 |U8 |U8 |
+ * |S16 |S16 |S16 |
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
+ *
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/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 Second tensor input. Data types supported: same as @p input1.
@@ -507,6 +570,15 @@ public:
CLElementwisePower &operator=(CLElementwisePower &&);
/** Initialise the kernel's inputs, output and conversion policy.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |
+ *
* @param[in, out] input1 First tensor input. Data types supported: 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 Second tensor input. Data types supported: F16/F32.
diff --git a/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h
index 32af0f9427..6e482c98e7 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -93,6 +93,17 @@ public:
~CLGEMMDeconvolutionLayer();
/** Set the input, weights, biases and output tensors.
*
+ * Valid data layouts:
+ * - NHWC
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |src2 |dst |
+ * |:--------------|:------------------|:--------|:--------------|
+ * |F16 |F16 |F16 |F16 |
+ * |F32 |F32 |F32 |F32 |
+ * |QASYMM8 |QASYMM8 |S32 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED |
+ *
* @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs.
* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32. Data layout supported: NHWC
* @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. Data layout supported: same as @p input.
diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h b/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h
index 0f051ecffd..a60992a0f4 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h
@@ -288,10 +288,20 @@ class CLGEMMLowpOutputStage : public ICLSimpleFunction
public:
/** Initialise the kernel's inputs, output
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:-------------|:-------------|
+ * |S32 |S32 |QASYMM8 |
+ * |S32 |S32 |QASYMM8_SIGNED|
+ * |S32 |S32 |QSYMM16 |
+ *
* @param[in] input Input tensor. Data type supported: S32
* @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
* Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
- * @param[out] output Output tensor. Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[out] output Output tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM16
* @param[in] info GEMMLowp output stage metadata.
*/
void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo &info);
diff --git a/arm_compute/runtime/CL/functions/CLLogicalAnd.h b/arm_compute/runtime/CL/functions/CLLogicalAnd.h
index f7038ee97a..61a15816eb 100644
--- a/arm_compute/runtime/CL/functions/CLLogicalAnd.h
+++ b/arm_compute/runtime/CL/functions/CLLogicalAnd.h
@@ -87,6 +87,14 @@ public:
CLLogicalAnd &operator=(CLLogicalAnd &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:-------------|:------------|
+ * |U8 |U8 |U8 |
+ *
* @param[in] input1 Input tensor. Data types supported: U8.
* @param[in] input2 Input tensor. Data types supported: same as @p input1.
* @param[out] output Output tensor. Data types supported: same as @p input1.
diff --git a/arm_compute/runtime/CL/functions/CLLogicalNot.h b/arm_compute/runtime/CL/functions/CLLogicalNot.h
index 772f16b942..27fd0f9c9f 100644
--- a/arm_compute/runtime/CL/functions/CLLogicalNot.h
+++ b/arm_compute/runtime/CL/functions/CLLogicalNot.h
@@ -58,6 +58,14 @@ public:
CLLogicalNot &operator=(CLLogicalNot &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:------------|
+ * |U8 |U8 |
+ *
* @param[in] input Input tensor. Data types supported: U8.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
diff --git a/arm_compute/runtime/CL/functions/CLLogicalOr.h b/arm_compute/runtime/CL/functions/CLLogicalOr.h
index 948baee9d9..b9ffb4a449 100644
--- a/arm_compute/runtime/CL/functions/CLLogicalOr.h
+++ b/arm_compute/runtime/CL/functions/CLLogicalOr.h
@@ -87,6 +87,14 @@ public:
CLLogicalOr &operator=(CLLogicalOr &&);
/** Initialize the function
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:-------------|:------------|
+ * |U8 |U8 |U8 |
+ *
* @param[in] input1 Input tensor. Data types supported: U8.
* @param[in] input2 Input tensor. Data types supported: same as @p input1.
* @param[out] output Output tensor. Data types supported: same as @p input1.
diff --git a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h
index ddb35ae56f..721a47144e 100644
--- a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h
+++ b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h
@@ -60,6 +60,17 @@ public:
~CLSoftmaxLayerGeneric();
/** Set the input and output tensors.
*
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |QASYMM8 |QASYMM8 |
+ * |QASYMM8_SIGNED |QASYMM8_SIGNED |
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 for Softmax and F16/F32 for Log Softmax
* @param[out] output Destination tensor. Data types supported: same as @p input
* @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.f
diff --git a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h
index 8cd809cc1f..d644591b57 100644
--- a/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h
+++ b/arm_compute/runtime/CL/functions/CLWinogradInputTransform.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -41,6 +41,16 @@ class CLWinogradInputTransform : public ICLSimpleFunction
public:
/** Set the input and output tensors.
*
+ * Valid data layouts:
+ * - NHWC
+ * - NCHW
+ *
+ * Valid data type configurations:
+ * |src |dst |
+ * |:--------------|:--------------|
+ * |F16 |F16 |
+ * |F32 |F32 |
+ *
* @note Winograd input transform supports the following configurations for NCWH data layout
* F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3),
* F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),