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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h13
1 files changed, 12 insertions, 1 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
index bc45e58b4b..9727e108a5 100644
--- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
@@ -36,7 +36,6 @@
namespace arm_compute
{
-
namespace weights_transformations
{
/** Basic function to manage the reshape weights generated from @ref NETranspose */
@@ -102,6 +101,18 @@ public:
~NEFullyConnectedLayer();
/** Set the input 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 |
+ *
* @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] weights Weights tensor. The weights must be 2 dimensional.
* If this function is called after a Convolution Layer, the (transposed) weights will have as many rows as the product of the first 3 input's dimensions.