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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLSoftmaxLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLSoftmaxLayer.h8
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h
index f0ef15acd7..40b6743031 100644
--- a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h
+++ b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h
@@ -44,7 +44,7 @@ class ICLTensor;
* @f[ out = exp((x - max(x)) * beta) / sum(exp((x - max(x)) * beta)) @f]
*
* Log Softmax is calculated by :
- * @f[ out = (x - max(x) * beta) - \sum{e^{x - max(x) * beta}} @f]
+ * @f[ out = (x - max(x) * beta) - log(\sum{e^{x - max(x) * beta}}) @f]
*
* This function runs the following kernels:
* -# @ref CLLogits1DMaxKernel
@@ -63,7 +63,7 @@ public:
CLSoftmaxLayerGeneric(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32
+ * @param[in] input Source tensor. Data types supported: QASYMM8/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
* @param[in] reduce_end_axis (Optional) The last axis of the first n dimensions (inclusive)to reduce. Defaults to 0.
@@ -75,7 +75,7 @@ public:
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
- * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32
+ * @param[in] input Source tensor. Data types supported: QASYMM8/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
* @param[in] reduce_end_axis (Optional) The last axis of the first n dimensions (inclusive)to reduce. Defaults to 0.
@@ -86,7 +86,7 @@ public:
void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, float beta = 1.0f, size_t reduce_end_axis = 0);
/** Static function to check if given info will lead to a valid configuration of @ref CLSoftmaxLayer
*
- * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32
+ * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32 for Softmax and F16/F32 for Log Softmax
* @param[in] output Destination tensor. Data types supported: same as @p input
* @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.f
* @param[in] reduce_end_axis (Optional) The last axis of the first n dimensions (inclusive)to reduce. Defaults to 0.