aboutsummaryrefslogtreecommitdiff
path: root/src/core/CL/cl_kernels/activation_layer_qa8.cl
diff options
context:
space:
mode:
Diffstat (limited to 'src/core/CL/cl_kernels/activation_layer_qa8.cl')
-rw-r--r--src/core/CL/cl_kernels/activation_layer_qa8.cl94
1 files changed, 75 insertions, 19 deletions
diff --git a/src/core/CL/cl_kernels/activation_layer_qa8.cl b/src/core/CL/cl_kernels/activation_layer_qa8.cl
index 8f6a807613..cfb61376ca 100644
--- a/src/core/CL/cl_kernels/activation_layer_qa8.cl
+++ b/src/core/CL/cl_kernels/activation_layer_qa8.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2018 ARM Limited.
+ * Copyright (c) 2016-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -26,16 +26,6 @@
#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE)
-// Logistic Activation
-inline TYPE logistic_op(TYPE x)
-{
- VEC_FLOAT x_flt = CONVERT(x, VEC_FLOAT);
- x_flt = round(x_flt - (float)O1_VAL) * ((float)S1_VAL);
- x_flt = 1.f / (1.f + exp(-x_flt));
-
- const TYPE x_u8 = CONVERT_SAT(round(x_flt / ((float)S1_VAL)) + (float)O1_VAL, TYPE);
- return x_u8;
-}
// RELU Activation
inline TYPE relu_op(TYPE x)
{
@@ -95,14 +85,14 @@ inline TYPE lu_brelu_op(TYPE x)
* @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image
- * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr
- * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
- * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
- * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
- * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
- * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
- * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
- * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
+ * @param[out] output_ptr (Optional) Pointer to the destination image. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x (Optional) Stride of the destination image in X dimension (in bytes)
+ * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y (Optional) Stride of the destination image in Y dimension (in bytes)
+ * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination image
*/
__kernel void activation_layer_qa8(
TENSOR3D_DECLARATION(input)
@@ -131,3 +121,69 @@ __kernel void activation_layer_qa8(
}
#endif /* defined(ACT) */
+
+#if defined(O2_VAL) && defined(S2_VAL)
+#define OFFSET_OUT O2_VAL
+#define SCALE_OUT S2_VAL
+#else // defined(O2_VAL) && defined(S2_VAL)
+#define OFFSET_OUT O1_VAL
+#define SCALE_OUT S1_VAL
+#endif // defined(O2_VAL) && defined(S2_VAL)
+
+/** This performs a Logistic activation function on QASYMM8 inputs.
+ *
+ * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time
+ *
+ * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
+ * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively.
+ * @note Quantization scales of the input/output tensors are passed in with -DS1_VAL= and -DS2_VAL= respectively.
+ * @note Quantization offsets of the input/output tensors are passed in with -DO1_VAL= and -DO2_VAL= respectively.
+ * @note Quantized value of constant zero should be given as a preprocessor argument using -DCONST_0=value. e.g. -DCONST_0=128.
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8
+ * @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image
+ * @param[out] output_ptr (Optional) Pointer to the destination image. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x (Optional) Stride of the destination image in X dimension (in bytes)
+ * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y (Optional) Stride of the destination image in Y dimension (in bytes)
+ * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination image
+ */
+__kernel void activation_layer_logistic_qa8(
+ TENSOR3D_DECLARATION(input)
+#ifndef IN_PLACE
+ ,
+ TENSOR3D_DECLARATION(output)
+#endif /* not IN_PLACE */
+)
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+#ifdef IN_PLACE
+ Tensor3D output = input;
+#else /* IN_PLACE */
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+#endif /* IN_PLACE */
+
+ // Load data
+ TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
+
+ VEC_FLOAT data_flt = CONVERT(data, VEC_FLOAT);
+ data_flt = round(data_flt - (float)O1_VAL) * ((float)S1_VAL);
+ data_flt = 1.f / (1.f + exp(-data_flt));
+
+ data = CONVERT_SAT(round(data_flt / ((float)SCALE_OUT)) + (float)OFFSET_OUT, TYPE);
+
+ // Store result
+ VSTORE(VEC_SIZE)
+ (data, 0, (__global DATA_TYPE *)output.ptr);
+}