summaryrefslogtreecommitdiff
path: root/compute/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl
diff options
context:
space:
mode:
Diffstat (limited to 'compute/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl')
-rw-r--r--compute/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl106
1 files changed, 106 insertions, 0 deletions
diff --git a/compute/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl b/compute/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl
new file mode 100644
index 000000000..8c875516d
--- /dev/null
+++ b/compute/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl
@@ -0,0 +1,106 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2016-2018 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 VEC_SIZE
+#define VEC_SIZE 1
+#endif
+
+#if defined(OP_CODE) && defined(DATA_TYPE)
+/** returns truth value of the two input tensors for BINARY LOGICAL OP.
+ * where BINARY LOGICAL OP can be AND, OR.
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=uchar
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size.
+ * e.g. -DVEC_SIZE=16
+ * @attention Operation type(code) specifying which operation to perform should be passed as
+ * preprocessor argument using -DOP_CODE = number. e.g. -DOP_CODE=1
+ *
+ * @param[in] input1_ptr Pointer to the source tensor.
+ * Supported data types: QASYMM8
+ * @param[in] input1_stride_x Stride of the source tensor in X dimension
+ * (in bytes)
+ * @param[in] input1_step_x input1_stride_x * number of elements along X
+ * processed per workitem(in bytes)
+ * @param[in] input1_stride_y Stride of the source tensor in Y dimension
+ * (in bytes)
+ * @param[in] input1_step_y input1_stride_y * number of elements along Y
+ * processed per workitem(in bytes)
+ * @param[in] input1_stride_z Stride of the source tensor in Z dimension
+ * (in bytes)
+ * @param[in] input1_step_z input1_stride_z * number of elements along Z
+ * processed per workitem(in bytes)
+ * @param[in] input1_offset_first_element_in_bytes The offset of the first element in the source
+ * tensor
+ * @param[in] input2_ptr Pointer to the source tensor.
+ * Supported data types: QASYMM8
+ * @param[in] input2_stride_x Stride of the source tensor in X dimension
+ * (in bytes)
+ * @param[in] input2_step_x input2_stride_x * number of elements along X
+ * processed per workitem(in bytes)
+ * @param[in] input2_stride_y Stride of the source tensor in Y dimension
+ * (in bytes)
+ * @param[in] input2_step_y input2_stride_y * number of elements along Y
+ * processed per workitem(in bytes)
+ * @param[in] input2_stride_z Stride of the source tensor in Z dimension
+ * (in bytes)
+ * @param[in] input2_step_z input2_stride_z * number of elements along Z
+ * processed per workitem(in bytes)
+ * @param[in] input2_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: QASYMM8
+ * @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)
+ * @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 destination tensor in Z dimension
+ * (in bytes)
+ * @param[in] output_step_z output_stride_z * number of elements along Z
+ * processed per workitem(in bytes)
+ */
+__kernel void binary_logical_op(TENSOR3D_DECLARATION(input1), TENSOR3D_DECLARATION(input2),
+ TENSOR3D_DECLARATION(output))
+{
+ Tensor3D input1 = CONVERT_TO_TENSOR3D_STRUCT(input1);
+ Tensor3D input2 = CONVERT_TO_TENSOR3D_STRUCT(input2);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+#if OP_CODE == 1 // LOGICAL AND
+ VSTORE(VEC_SIZE)
+ (CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input1.ptr) &&
+ VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr),
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)),
+ 0, (__global DATA_TYPE *)output.ptr);
+
+#elif OP_CODE == 2 // LOGICAL OR
+ VSTORE(VEC_SIZE)
+ (CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input1.ptr) ||
+ VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr),
+ VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)),
+ 0, (__global DATA_TYPE *)output.ptr);
+
+#else // OP NOT SUPPORTED
+ return
+
+#endif
+}
+#endif // if defined(OP_CODE) && defined(DATA_TYPE)