summaryrefslogtreecommitdiff
path: root/compute/ARMComputeEx/src/core/CL/cl_kernels/cast.cl
diff options
context:
space:
mode:
Diffstat (limited to 'compute/ARMComputeEx/src/core/CL/cl_kernels/cast.cl')
-rw-r--r--compute/ARMComputeEx/src/core/CL/cl_kernels/cast.cl209
1 files changed, 209 insertions, 0 deletions
diff --git a/compute/ARMComputeEx/src/core/CL/cl_kernels/cast.cl b/compute/ARMComputeEx/src/core/CL/cl_kernels/cast.cl
new file mode 100644
index 000000000..2342fda9f
--- /dev/null
+++ b/compute/ARMComputeEx/src/core/CL/cl_kernels/cast.cl
@@ -0,0 +1,209 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "helpers.h"
+
+#ifndef SCALE
+#define SCALE 1.0f
+#endif
+#ifndef OFFSET
+#define OFFSET 0
+#endif
+#ifndef VEC_SIZE
+#define VEC_SIZE 1
+#endif
+
+#if defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT)
+/** Perform a cast operation on an input tensor.
+ *
+ * @attention Data types of both input and output can be passed using the -DDATA_TYPE_IN and
+ * -DDATA_TYPE_OUT compile flag, e.g. -DDATA_TYPE_IN=float, -DDATA_TYPE_OUT=int
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
+ * -DVEC_SIZE=16
+ * @attention -DBOOL_INPUT : Whether type of input is bool.
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data
+ * types: F16/F32
+ * @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 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
+ */
+__kernel void cast(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(output))
+{
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+ VSTORE(VEC_SIZE)
+ (CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr),
+ VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)),
+ 0, (__global DATA_TYPE_OUT *)output.ptr);
+ VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)
+ res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr),
+ VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE));
+#if defined(BOOL_INPUT)
+ VEC_DATA_TYPE(char, VEC_SIZE) tmp = CONVERT(res, VEC_DATA_TYPE(char, VEC_SIZE));
+ VEC_DATA_TYPE(char, VEC_SIZE) mask = (VEC_DATA_TYPE(char, VEC_SIZE))(1);
+ res = CONVERT(tmp & mask, VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE));
+#endif // defined(BOOL_INPUT)
+
+ VSTORE(VEC_SIZE)(res, 0, (__global DATA_TYPE_OUT *)output.ptr);
+}
+
+/** Perform a cast operation on an QASYMM8 input tensor.
+ * @attention Data types of both input and output can be passed using the -DDATA_TYPE_IN and
+ * -DDATA_TYPE_OUT compile flag, e.g. -DDATA_TYPE_IN=float, -DDATA_TYPE_OUT=int
+ * @attention Offset and Scale of input should be given as a preprocessor argument using
+ * -DOFFSET=int, -DSCALE=float. e.g. -DOFFSET=1, -DSCALE=0.5
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
+ * -DVEC_SIZE=16
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data
+ * types: F16/F32
+ * @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 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
+ */
+__kernel void cast_qasymm_in(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(output))
+{
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+ VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE)
+ in_data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr);
+ VEC_DATA_TYPE(int, VEC_SIZE) offset = (VEC_DATA_TYPE(int, VEC_SIZE))(OFFSET);
+ VEC_DATA_TYPE(float, VEC_SIZE) scale = (VEC_DATA_TYPE(float, VEC_SIZE))(SCALE);
+
+ VEC_DATA_TYPE(int, VEC_SIZE) tmp = CONVERT(in_data, VEC_DATA_TYPE(int, VEC_SIZE)) - offset;
+ VEC_DATA_TYPE(float, VEC_SIZE) out_data = CONVERT(tmp, VEC_DATA_TYPE(float, VEC_SIZE)) * scale;
+
+ VSTORE(VEC_SIZE)
+ (CONVERT(out_data, VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)), 0,
+ (__global DATA_TYPE_OUT *)output.ptr);
+}
+
+/** Perform a cast operation on an QASYMM8 output tensor.
+ * @attention Data types of both input and output can be passed using the -DDATA_TYPE_IN and
+ * -DDATA_TYPE_OUT compile flag, e.g. -DDATA_TYPE_IN=float, -DDATA_TYPE_OUT=int
+ * @attention Offset and Scale of output should be given as a preprocessor argument using
+ * -DOFFSET=int, -DSCALE=float. e.g. -DOFFSET=1, -DSCALE=0.5
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
+ * -DVEC_SIZE=16
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data
+ * types: F16/F32
+ * @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 Pointer to the destination image. Supported data
+ * types: U8
+ * @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
+ */
+__kernel void cast_qasymm_out(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(output))
+{
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+ VEC_DATA_TYPE(DATA_TYPE_IN, VEC_SIZE)
+ in_data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN *)input.ptr);
+ VEC_DATA_TYPE(int, VEC_SIZE) offset = (VEC_DATA_TYPE(int, VEC_SIZE))(OFFSET);
+ VEC_DATA_TYPE(float, VEC_SIZE) scale = (VEC_DATA_TYPE(float, VEC_SIZE))(SCALE);
+
+ VEC_DATA_TYPE(float, VEC_SIZE) tmp = CONVERT(in_data, VEC_DATA_TYPE(float, VEC_SIZE)) / scale;
+ VEC_DATA_TYPE(float, VEC_SIZE) out_data = tmp + CONVERT(offset, VEC_DATA_TYPE(float, VEC_SIZE));
+
+ VSTORE(VEC_SIZE)
+ (CONVERT(out_data, VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)), 0,
+ (__global DATA_TYPE_OUT *)output.ptr);
+}
+#endif // defined(DATA_TYPE_IN) && defined(DATA_TYPE_OUT)
generated by cgit v1.2.3 (git 2.25.1) at 2024-06-01 14:30:20 +0000