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-rw-r--r--src/core/CL/cl_kernels/quantization_layer.cl31
1 files changed, 23 insertions, 8 deletions
diff --git a/src/core/CL/cl_kernels/quantization_layer.cl b/src/core/CL/cl_kernels/quantization_layer.cl
index 41d9957150..cfb2bb65f7 100644
--- a/src/core/CL/cl_kernels/quantization_layer.cl
+++ b/src/core/CL/cl_kernels/quantization_layer.cl
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -29,7 +29,7 @@
#if defined(VEC_SIZE) && defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT) && defined(SCALE) && defined(OFFSET) && defined(MIN_QUANT_VAL) && defined(MAX_QUANT_VAL)
-/** This performs the quantization of floating point inputs to 8-bit unsigned integers.
+/** This performs the quantization of floating point inputs or 8-bit quantized integers to 8-bit integers.
*
* @note Input data type should be given as a preprocessor argument using -DDATA_TYPE_IN=type. e.g. -DDATA_TYPE=short
* @note Output data type should be given as a preprocessor argument using -DDATA_TYPE_OUT=type. e.g. -DDATA_TYPE=short
@@ -38,8 +38,9 @@
* @note Quantization offset should be given as a preprocessor argument using -DOFFSET=offset. e.g. -DOFFSET=125
* @note Minimum value for quantized type should be given as a preprocessor argument using -DMIN_QUANT_VAL=value. e.g. -DMIN_QUANT_VAL=0
* @note Maximum value for quantized type should be given as a preprocessor argument using -DMAX_QUANT_VAL=value. e.g. -DMAXIN_QUANT_VAL=255
+ * @note If the input data type if a floating point (F16 or F32) the preprocessor argument should be give as -DIS_FLOAT
*
- * @param[in] input_ptr Pointer to the source tensor. Supported data types: F32
+ * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] input_stride_x Stride of the source tensor 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 tensor in Y dimension (in bytes)
@@ -47,7 +48,7 @@
* @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 tensor
- * @param[out] output_ptr Pointer to the destination tensor. Supported data types: U8
+ * @param[out] output_ptr Pointer to the destination tensor. Supported data types: QASYMM8/QASYMM8_SIGNED
* @param[in] output_stride_x Stride of the destination tensor 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 tensor in Y dimension (in bytes)
@@ -72,16 +73,30 @@ __kernel void quantization_layer(
output.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * output_stride_x;
// Load data
+#if defined(IS_FLOAT)
+ // Load data
VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE)
- val = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr);
+ val_float = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr);
// Create scale and offset vectors
const VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE) vscale = SCALE;
- const VEC_DATA_TYPE(int, VEC_SIZE) voffset = OFFSET;
+ const VEC_DATA_TYPE(int, VEC_SIZE) voffset = OFFSET;
+#else // defined(IS_FLOAT)
+ // Load data
+ VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE)
+ val = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr);
+
+ const VEC_DATA_TYPE(float, VEC_SIZE)
+ val_float = CONVERT(val, VEC_DATA_TYPE(float, VEC_SIZE));
+
+ // Create scale and offset vectors
+ const VEC_DATA_TYPE(float, VEC_SIZE) vscale = SCALE;
+ const VEC_DATA_TYPE(int, VEC_SIZE) voffset = OFFSET;
+#endif // defined(IS_FLOAT)
// Quantize
VEC_DATA_TYPE(int, VEC_SIZE)
- res = CLAMP(CONVERT_RTE_VEC(val / vscale, int, VEC_SIZE) + voffset, MIN_QUANT_VAL, MAX_QUANT_VAL);
+ res = CLAMP(CONVERT_RTE_VEC(val_float / vscale, int, VEC_SIZE) + voffset, MIN_QUANT_VAL, MAX_QUANT_VAL);
// Store result
VSTORE(VEC_SIZE)
@@ -90,4 +105,4 @@ __kernel void quantization_layer(
*((__global DATA_TYPE_OUT *)(output.ptr)) = (DATA_TYPE_OUT)CLAMP(CONVERT_RTE(((float) * (__global DATA_TYPE_IN *)input.ptr) / ((float)SCALE), int) + (int)OFFSET, MIN_QUANT_VAL, MAX_QUANT_VAL);
#endif // defined(VEC_SIZE) && defined(LAST_ACCESSED_X)
}
-#endif //defined(VEC_SIZE) && defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT) && defined(SCALE) && defined(OFFSET) && defined(MIN_QUANT_VAL) && defined(MAX_QUANT_VAL)
+#endif // defined(VEC_SIZE) && defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT) && defined(SCALE) && defined(OFFSET) && defined(MIN_QUANT_VAL) && defined(MAX_QUANT_VAL)