COMPMID-1235: Implements StridedSlice for CL
Change-Id: If2b44da31fae528c76be742b4b3a21fb0eb06b49
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145284
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/core/CL/CLKernels.h b/arm_compute/core/CL/CLKernels.h
index ea942bd..ff16394 100644
--- a/arm_compute/core/CL/CLKernels.h
+++ b/arm_compute/core/CL/CLKernels.h
@@ -109,6 +109,7 @@
#include "arm_compute/core/CL/kernels/CLSobel5x5Kernel.h"
#include "arm_compute/core/CL/kernels/CLSobel7x7Kernel.h"
#include "arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h"
+#include "arm_compute/core/CL/kernels/CLStridedSliceKernel.h"
#include "arm_compute/core/CL/kernels/CLTableLookupKernel.h"
#include "arm_compute/core/CL/kernels/CLThresholdKernel.h"
#include "arm_compute/core/CL/kernels/CLTransposeKernel.h"
diff --git a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
new file mode 100644
index 0000000..e104dcf
--- /dev/null
+++ b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
@@ -0,0 +1,97 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_CL_STRIDED_SLICE_KERNEL_H__
+#define __ARM_COMPUTE_CL_STRIDED_SLICE_KERNEL_H__
+
+#include "arm_compute/core/CL/ICLKernel.h"
+#include "arm_compute/core/Types.h"
+
+#include <cstdint>
+
+namespace arm_compute
+{
+// Forward declarations
+class ICLTensor;
+
+/** Interface for the kernel to perform tensor strided slicing */
+class CLStridedSliceKernel : public ICLKernel
+{
+public:
+ /** Default constructor */
+ CLStridedSliceKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLStridedSliceKernel(const CLStridedSliceKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLStridedSliceKernel &operator=(const CLStridedSliceKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ CLStridedSliceKernel(CLStridedSliceKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ CLStridedSliceKernel &operator=(CLStridedSliceKernel &&) = default;
+ /** Default destructor */
+ ~CLStridedSliceKernel() = default;
+ /** Configure kernel
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[out] output Destination tensor. Data type supported: Same as @p input
+ * @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] begin_mask If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] end_mask If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] shrink_axis_mask If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
+ * A slice of size 1 starting from starts[i] in the dimension must be preserved.
+ */
+ void configure(const ICLTensor *input, ICLTensor *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref CLStridedSliceKernel
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[in] output Destination tensor. Data type supported: Same as @p input
+ * @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] begin_mask If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] end_mask If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] shrink_axis_mask If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
+ * A slice of size 1 starting from starts[i] in the dimension must be preserved.
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_input; /**< Source tensor */
+ ICLTensor *_output; /**< Destination tensor */
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CL_STRIDED_SLICE_KERNEL_H__ */
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index 37a8850..31f2c88 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -45,6 +45,8 @@
/** Permutation vector */
using PermutationVector = Strides;
+/** Bidirectional strides */
+using BiStrides = Coordinates;
/** Image colour formats */
enum class Format
diff --git a/arm_compute/core/utils/helpers/tensor_transform.h b/arm_compute/core/utils/helpers/tensor_transform.h
new file mode 100644
index 0000000..e5b32a5
--- /dev/null
+++ b/arm_compute/core/utils/helpers/tensor_transform.h
@@ -0,0 +1,84 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H__
+#define __ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H__
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace helpers
+{
+namespace tensor_transform
+{
+/** Returns the absolute start coordinates of strided slice
+ *
+ * @param[in] input_shape Input tensor shape
+ * @param[in] starts Start coordinates
+ * @param[in] strides Slice strides
+ * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, begin[i] is ignored and
+ * the fullest possible range in that dimension is used instead.
+ *
+ * @return Absolute start coordinates
+ */
+Coordinates strided_slice_absolute_start_coords(TensorShape input_shape, Coordinates starts, Coordinates strides, int32_t begin_mask = 0);
+
+/** Returns the absolute ends coordinates of strided slice
+ *
+ * @param[in] input_shape Input tensor shape
+ * @param[in] starts_abs Absolute start coordinates
+ * @param[in] ends End coordinates
+ * @param[in] strides Slice strides
+ * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and
+ * the fullest possible range in that dimension is used instead.
+ * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
+ * A slice of size 1 starting from begin[i] in the dimension must be preserved.
+ *
+ * @return Absolute end coordinates
+ */
+Coordinates strided_slice_absolute_end_coords(TensorShape input_shape, Coordinates starts_abs, Coordinates ends, Coordinates strides,
+ int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
+/** Returns the final strides of strided slice
+ *
+ * @param[in] input_shape Input tensor shape
+ * @param[in] strides Slice strides
+ *
+ * @return The final strides need by strided slice
+ */
+Coordinates strided_slice_strides(TensorShape input_shape, Coordinates strides);
+
+/** Computes output shape of a strided slice
+ *
+ * @param[in] input_shape Input tensor shape
+ * @param[in] starts_abs Absolute start coordinates
+ * @param[in] ends_abs Absolute end coordinates
+ * @param[in] final_strides Slice strides
+ *
+ * @return The output tensor shape
+ */
+TensorShape compute_strided_slice_output_shape(TensorShape input_shape, Coordinates starts_abs, Coordinates ends_abs, Coordinates final_strides);
+} // namespace tensor_tranform
+} // namespace helpers
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H__ */
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index 09f558d..e0b6ce6 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -28,6 +28,8 @@
#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+
#include <cmath>
namespace arm_compute
@@ -432,6 +434,22 @@
return output_shape;
}
+inline TensorShape compute_strided_slice_shape(const ITensorInfo &input,
+ const Coordinates &starts, const Coordinates &ends, const Coordinates &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ using namespace arm_compute::helpers::tensor_transform;
+
+ const TensorShape &input_shape = input.tensor_shape();
+
+ // Get actual start, end coordinates and strides
+ const Coordinates final_strides = strided_slice_strides(input_shape, strides);
+ const Coordinates starts_abs = strided_slice_absolute_start_coords(input_shape, starts, final_strides, begin_mask);
+ const Coordinates ends_abs = strided_slice_absolute_end_coords(input_shape, starts_abs, ends, final_strides, end_mask, shrink_axis_mask);
+
+ return compute_strided_slice_output_shape(input_shape, starts_abs, ends_abs, final_strides);
+}
+
template <typename T>
inline TensorShape extract_shape(T *data)
{
diff --git a/arm_compute/runtime/CL/CLFunctions.h b/arm_compute/runtime/CL/CLFunctions.h
index 5e42715..f81a1ba 100644
--- a/arm_compute/runtime/CL/CLFunctions.h
+++ b/arm_compute/runtime/CL/CLFunctions.h
@@ -109,6 +109,7 @@
#include "arm_compute/runtime/CL/functions/CLSobel5x5.h"
#include "arm_compute/runtime/CL/functions/CLSobel7x7.h"
#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
+#include "arm_compute/runtime/CL/functions/CLStridedSlice.h"
#include "arm_compute/runtime/CL/functions/CLTableLookup.h"
#include "arm_compute/runtime/CL/functions/CLThreshold.h"
#include "arm_compute/runtime/CL/functions/CLTranspose.h"
diff --git a/arm_compute/runtime/CL/functions/CLStridedSlice.h b/arm_compute/runtime/CL/functions/CLStridedSlice.h
new file mode 100644
index 0000000..4a336f6
--- /dev/null
+++ b/arm_compute/runtime/CL/functions/CLStridedSlice.h
@@ -0,0 +1,75 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_CL_STRIDED_SLICE_H__
+#define __ARM_COMPUTE_CL_STRIDED_SLICE_H__
+
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+
+namespace arm_compute
+{
+// Forward Declarations
+class ICLTensor;
+
+/** Basic function to run @ref CLStridedSliceKernel */
+class CLStridedSlice : public ICLSimpleFunction
+{
+public:
+ /** Configure kernel
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[out] output Destination tensor. Data type supported: Same as @p input
+ * @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
+ * A slice of size 1 starting from starts[i] in the dimension must be preserved.
+ */
+ void configure(const ICLTensor *input, ICLTensor *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref CLStridedSlice
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[in] output Destination tensor. Data type supported: Same as @p input
+ * @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] strides The strides of the dimensions of the input tensor to be sliced. The length must be of rank(input).
+ * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] end_mask (Optional) If the ith bit of end_mask is set, ends[i] is ignored and the fullest possible range in that dimension is used instead.
+ * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.
+ * A slice of size 1 starting from starts[i] in the dimension must be preserved.
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CL_STRIDED_SLICE_H__ */
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index 3c92257..6f45756 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -359,6 +359,7 @@
{ "softmax_layer_max_shift_exp_sum_quantized_parallel", "softmax_layer_quantized.cl" },
{ "softmax_layer_max_shift_exp_sum_serial", "softmax_layer.cl" },
{ "softmax_layer_max_shift_exp_sum_parallel", "softmax_layer.cl" },
+ { "strided_slice", "strided_slice.cl" },
{ "suppress_non_maximum", "canny.cl" },
{ "tablelookup_U8", "tablelookup.cl" },
{ "tablelookup_S16", "tablelookup.cl" },
@@ -735,6 +736,10 @@
#include "./cl_kernels/softmax_layer_quantized.clembed"
},
{
+ "strided_slice.cl",
+#include "./cl_kernels/strided_slice.clembed"
+ },
+ {
"tablelookup.cl",
#include "./cl_kernels/tablelookup.clembed"
},
diff --git a/src/core/CL/cl_kernels/strided_slice.cl b/src/core/CL/cl_kernels/strided_slice.cl
new file mode 100644
index 0000000..7c68fb9
--- /dev/null
+++ b/src/core/CL/cl_kernels/strided_slice.cl
@@ -0,0 +1,85 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "helpers.h"
+
+/** Perform a strided slice operation on a given input.
+ *
+ * @attention Supported tensor rank: up to 4
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Input and output tensor dephts should be given as a preprocessor arguments using -DSRC_DEPTH=size. and -DDST_DEPTH=size
+ * @attention Absolute start coordinates for each dimension should be given as preprocessor -DSTART_index=value e.g. -DSTART_0=2
+ * @attention Strides for each dimension should be given as preprocessor -DSTRIDE_index=value e.g. -DSTRIDE_1=1
+ *
+ * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/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)
+ * @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_stride_w Stride of the source tensor in W dimension (in bytes)
+ * @param[in] input_step_w input_stride_w * number of elements along W 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: same as @p input_ptr
+ * @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)
+ * @param[in] output_stride_w Stride of the destination tensor in W dimension (in bytes)
+ * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ */
+__kernel void strided_slice(
+ TENSOR4D_DECLARATION(input),
+ TENSOR4D_DECLARATION(output))
+{
+ // Get pixels pointer
+ Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, SRC_DEPTH);
+ Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH);
+
+ int offset_0 = 0;
+ int offset_1 = 0;
+ int offset_2 = 0;
+ int offset_3 = 0;
+
+ // Calculate offset
+#if defined(START_0) && defined(STRIDE_0)
+ offset_0 = (int)START_0 + (int)get_global_id(0) * (int)STRIDE_0;
+#endif // defined(START_0) && defined(STRIDE_0)
+#if defined(START_1) && defined(STRIDE_1)
+ offset_1 = (int)START_1 + (int)get_global_id(1) * (int)STRIDE_1;
+#endif // defined(START_1) && defined(STRIDE_1)
+#if defined(START_2) && defined(STRIDE_2)
+ offset_2 = (int)START_2 + ((int)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_2;
+#endif // defined(START_2) && defined(STRIDE_2)
+#if defined(START_3) && defined(STRIDE_3)
+ offset_3 = (int)START_3 + ((int)get_global_id(2) / (int)DST_DEPTH) * (int)STRIDE_3;
+#endif // defined(START_2) && defined(STRIDE_2)
+
+ // Store result
+ *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)tensor4D_offset(&input, offset_0, offset_1, offset_2, offset_3));
+}
diff --git a/src/core/CL/kernels/CLStridedSliceKernel.cpp b/src/core/CL/kernels/CLStridedSliceKernel.cpp
new file mode 100644
index 0000000..f07436a
--- /dev/null
+++ b/src/core/CL/kernels/CLStridedSliceKernel.cpp
@@ -0,0 +1,189 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/CL/kernels/CLStridedSliceKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/CLValidate.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/IAccessWindow.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Window.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1,
+ DataType::U8, DataType::S8, DataType::QASYMM8,
+ DataType::U16, DataType::S16,
+ DataType::U32, DataType::S32,
+ DataType::F16, DataType::F32);
+
+ ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4);
+ ARM_COMPUTE_RETURN_ERROR_ON(starts.num_dimensions() > input->num_dimensions());
+ ARM_COMPUTE_RETURN_ERROR_ON(ends.num_dimensions() > input->num_dimensions());
+ ARM_COMPUTE_RETURN_ERROR_ON(strides.num_dimensions() > input->num_dimensions());
+ for(unsigned int i = 0; i < strides.num_dimensions(); ++i)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(strides[i] == 0);
+ }
+
+ // Get expected output shape
+ const TensorShape exp_output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
+ starts, ends, strides,
+ begin_mask, end_mask, shrink_axis_mask);
+ ARM_COMPUTE_RETURN_ERROR_ON(exp_output_shape.total_size() == 0);
+
+ // Checks output if configured
+ if(output->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape() != exp_output_shape);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ // Output tensor auto initialization if not yet initialized
+ const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
+ starts, ends, strides,
+ begin_mask, end_mask, shrink_axis_mask);
+ auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape));
+
+ // Create window
+ const unsigned int num_elems_processed_per_iteration = 1;
+
+ Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
+ output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
+
+ return std::make_pair(Status{}, win);
+}
+} // namespace
+
+CLStridedSliceKernel::CLStridedSliceKernel()
+ : _input(nullptr), _output(nullptr)
+{
+}
+
+void CLStridedSliceKernel::configure(const ICLTensor *input, ICLTensor *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
+
+ _input = input;
+ _output = output;
+
+ const TensorShape &input_shape = input->info()->tensor_shape();
+
+ const Coordinates final_strides = arm_compute::helpers::tensor_transform::strided_slice_strides(input_shape, strides);
+ const Coordinates starts_abs = arm_compute::helpers::tensor_transform::strided_slice_absolute_start_coords(input_shape, starts, final_strides, begin_mask);
+ const Coordinates ends_abs = arm_compute::helpers::tensor_transform::strided_slice_absolute_end_coords(input_shape, starts_abs, ends, final_strides, end_mask, shrink_axis_mask);
+
+ // Configure kernel window
+ auto win_config = validate_and_configure_window(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+ ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+ ICLKernel::configure_internal(win_config.second);
+
+ // Create build options
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+ for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
+ {
+ build_opts.add_option("-DSTART_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(starts_abs[i]));
+ build_opts.add_option("-DSTRIDE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(final_strides[i]));
+ }
+ build_opts.add_option_if_else(input_shape.num_dimensions() > 2,
+ "-DSRC_DEPTH=" + support::cpp11::to_string(input_shape.z()),
+ "-DSRC_DEPTH=1");
+ build_opts.add_option_if_else(_output->info()->num_dimensions() > 2,
+ "-DDST_DEPTH=" + support::cpp11::to_string(_output->info()->tensor_shape().z()),
+ "-DDST_DEPTH=1");
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("strided_slice", build_opts.options()));
+
+ // Set config_id for enabling LWS tuning
+ _config_id = "strided_slice";
+ _config_id += "_";
+ _config_id += lower_string(string_from_data_type(input->info()->data_type()));
+ for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
+ {
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(input->info()->dimension(i));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(starts_abs[i]);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(ends_abs[i]);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(final_strides[i]);
+ }
+}
+
+Status CLStridedSliceKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(),
+ starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)
+ .first);
+
+ return Status{};
+}
+
+void CLStridedSliceKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ Window slice = window_collapsed.first_slice_window_4D();
+
+ do
+ {
+ unsigned int idx = 0;
+ add_4D_tensor_argument(idx, _input, slice);
+ add_4D_tensor_argument(idx, _output, slice);
+ enqueue(queue, *this, slice, lws_hint());
+ }
+ while(window_collapsed.slide_window_slice_4D(slice));
+}
+} // namespace arm_compute
diff --git a/src/core/utils/helpers/tensor_transform.cpp b/src/core/utils/helpers/tensor_transform.cpp
new file mode 100644
index 0000000..5c83a8b
--- /dev/null
+++ b/src/core/utils/helpers/tensor_transform.cpp
@@ -0,0 +1,142 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+
+namespace arm_compute
+{
+namespace helpers
+{
+namespace tensor_transform
+{
+Coordinates strided_slice_absolute_start_coords(TensorShape input_shape, Coordinates starts, Coordinates strides, int32_t begin_mask)
+{
+ Coordinates starts_abs;
+ for(unsigned int i = 0; i < starts.num_dimensions(); ++i)
+ {
+ // Get start index
+ int start_i = starts[i];
+
+ // Reset in case of begin mask present
+ if((begin_mask & 1 << i) != 0)
+ {
+ start_i = strides[i] > 0 ? std::numeric_limits<int>::lowest() : std::numeric_limits<int>::max();
+ }
+
+ // Account negative start points
+ const int dim_size = input_shape[i];
+ if(start_i < 0)
+ {
+ start_i += dim_size;
+ }
+
+ // Final clamp
+ start_i = utility::clamp(start_i, 0, dim_size - 1);
+ starts_abs.set(i, start_i);
+ }
+
+ // Fill remaining
+ for(unsigned int i = starts_abs.num_dimensions(); i < input_shape.num_dimensions(); ++i)
+ {
+ starts_abs.set(i, 0);
+ }
+
+ return starts_abs;
+}
+
+Coordinates strided_slice_absolute_end_coords(TensorShape input_shape, Coordinates starts_abs, Coordinates ends, Coordinates strides,
+ int32_t end_mask, int32_t shrink_axis_mask)
+{
+ Coordinates ends_abs;
+ for(unsigned int i = 0; i < ends.num_dimensions(); ++i)
+ {
+ // Get end index
+ int stop_i = ends[i];
+
+ // Shrink dimension
+ if((shrink_axis_mask & (1 << i)) != 0)
+ {
+ stop_i = starts_abs[i] + 1;
+ }
+
+ // Reset in case of begin mask present
+ if((end_mask & 1 << i) != 0)
+ {
+ stop_i = (strides[i] > 0) ? std::numeric_limits<int>::max() : std::numeric_limits<int>::lowest();
+ }
+
+ // Account negative end points
+ const int dim_size = input_shape[i];
+ if(stop_i < 0)
+ {
+ stop_i += dim_size;
+ }
+
+ // Final clamp
+ stop_i = (strides[i] > 0) ? utility::clamp(stop_i, 0, dim_size) : utility::clamp(stop_i, -1, dim_size - 1);
+ ends_abs.set(i, stop_i);
+ }
+
+ // Fill remaining ends
+ for(unsigned int i = ends_abs.num_dimensions(); i < input_shape.num_dimensions(); ++i)
+ {
+ ends_abs.set(i, input_shape[i]);
+ }
+
+ return ends_abs;
+}
+
+Coordinates strided_slice_strides(TensorShape input_shape, Coordinates strides)
+{
+ for(unsigned int i = strides.num_dimensions(); i < input_shape.num_dimensions(); ++i)
+ {
+ strides.set(i, 1);
+ }
+ return strides;
+}
+
+TensorShape compute_strided_slice_output_shape(TensorShape input_shape, Coordinates starts_abs, Coordinates ends_abs, Coordinates final_strides)
+{
+ TensorShape output_shape = input_shape;
+ for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
+ {
+ const int stride_i = final_strides[i];
+ const int range = ends_abs[i] - starts_abs[i];
+ if((range == 0) || // Zero range
+ (range < 0 && stride_i >= 0) || // Negative range with positive stride
+ (range > 0 && stride_i <= 0)) // Positive range with negative stride
+ {
+ output_shape.set(i, 0);
+ return output_shape;
+ }
+ else
+ {
+ int dim = range / stride_i + (range % stride_i != 0 ? 1 : 0);
+ output_shape.set(i, dim);
+ }
+ }
+ return output_shape;
+}
+} // namespace tensor_transform
+} // namespace helpers
+} // namespace arm_compute
diff --git a/src/runtime/CL/functions/CLStridedSlice.cpp b/src/runtime/CL/functions/CLStridedSlice.cpp
new file mode 100644
index 0000000..e34f653
--- /dev/null
+++ b/src/runtime/CL/functions/CLStridedSlice.cpp
@@ -0,0 +1,47 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/CL/functions/CLStridedSlice.h"
+
+#include "arm_compute/core/CL/kernels/CLStridedSliceKernel.h"
+#include "arm_compute/core/Types.h"
+#include "support/ToolchainSupport.h"
+
+namespace arm_compute
+{
+void CLStridedSlice::configure(const ICLTensor *input, ICLTensor *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ auto k = arm_compute::support::cpp14::make_unique<CLStridedSliceKernel>();
+ k->configure(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+ _kernel = std::move(k);
+}
+
+Status CLStridedSlice::validate(const ITensorInfo *input, const ITensorInfo *output,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ return CLStridedSliceKernel::validate(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+}
+} // namespace arm_compute
diff --git a/tests/datasets/StridedSliceDataset.h b/tests/datasets/StridedSliceDataset.h
new file mode 100644
index 0000000..00f1992
--- /dev/null
+++ b/tests/datasets/StridedSliceDataset.h
@@ -0,0 +1,181 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_STRIDED_SLICE_DATASET
+#define ARM_COMPUTE_TEST_STRIDED_SLICE_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class StridedSliceDataset
+{
+public:
+ using type = std::tuple<TensorShape, Coordinates, Coordinates, BiStrides, int32_t, int32_t, int32_t>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator tensor_shapes_it,
+ std::vector<Coordinates>::const_iterator starts_values_it,
+ std::vector<Coordinates>::const_iterator ends_values_it,
+ std::vector<BiStrides>::const_iterator strides_values_it,
+ std::vector<int32_t>::const_iterator begin_mask_values_it,
+ std::vector<int32_t>::const_iterator end_mask_values_it,
+ std::vector<int32_t>::const_iterator shrink_mask_values_it)
+ : _tensor_shapes_it{ std::move(tensor_shapes_it) },
+ _starts_values_it{ std::move(starts_values_it) },
+ _ends_values_it{ std::move(ends_values_it) },
+ _strides_values_it{ std::move(strides_values_it) },
+ _begin_mask_values_it{ std::move(begin_mask_values_it) },
+ _end_mask_values_it{ std::move(end_mask_values_it) },
+ _shrink_mask_values_it{ std::move(shrink_mask_values_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "Shape=" << *_tensor_shapes_it << ":";
+ description << "Starts=" << *_starts_values_it << ":";
+ description << "Ends=" << *_ends_values_it << ":";
+ description << "Strides=" << *_strides_values_it << ":";
+ description << "BeginMask=" << *_begin_mask_values_it << ":";
+ description << "EndMask=" << *_end_mask_values_it << ":";
+ description << "ShrinkMask=" << *_shrink_mask_values_it << ":";
+ return description.str();
+ }
+
+ StridedSliceDataset::type operator*() const
+ {
+ return std::make_tuple(*_tensor_shapes_it,
+ *_starts_values_it, *_ends_values_it, *_strides_values_it,
+ *_begin_mask_values_it, *_end_mask_values_it, *_shrink_mask_values_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_tensor_shapes_it;
+ ++_starts_values_it;
+ ++_ends_values_it;
+ ++_strides_values_it;
+ ++_begin_mask_values_it;
+ ++_end_mask_values_it;
+ ++_shrink_mask_values_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _tensor_shapes_it;
+ std::vector<Coordinates>::const_iterator _starts_values_it;
+ std::vector<Coordinates>::const_iterator _ends_values_it;
+ std::vector<BiStrides>::const_iterator _strides_values_it;
+ std::vector<int32_t>::const_iterator _begin_mask_values_it;
+ std::vector<int32_t>::const_iterator _end_mask_values_it;
+ std::vector<int32_t>::const_iterator _shrink_mask_values_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_tensor_shapes.begin(),
+ _starts_values.begin(), _ends_values.begin(), _strides_values.begin(),
+ _begin_mask_values.begin(), _end_mask_values.begin(), _shrink_mask_values.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_tensor_shapes.size(), std::min(_starts_values.size(), std::min(_ends_values.size(), _strides_values.size())));
+ }
+
+ void add_config(TensorShape shape,
+ Coordinates starts, Coordinates ends, BiStrides strides,
+ int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_mask = 0)
+ {
+ _tensor_shapes.emplace_back(std::move(shape));
+ _starts_values.emplace_back(std::move(starts));
+ _ends_values.emplace_back(std::move(ends));
+ _strides_values.emplace_back(std::move(strides));
+ _begin_mask_values.emplace_back(std::move(begin_mask));
+ _end_mask_values.emplace_back(std::move(end_mask));
+ _shrink_mask_values.emplace_back(std::move(shrink_mask));
+ }
+
+protected:
+ StridedSliceDataset() = default;
+ StridedSliceDataset(StridedSliceDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _tensor_shapes{};
+ std::vector<Coordinates> _starts_values{};
+ std::vector<Coordinates> _ends_values{};
+ std::vector<BiStrides> _strides_values{};
+ std::vector<int32_t> _begin_mask_values{};
+ std::vector<int32_t> _end_mask_values{};
+ std::vector<int32_t> _shrink_mask_values{};
+};
+
+class SmallStridedSliceDataset final : public StridedSliceDataset
+{
+public:
+ SmallStridedSliceDataset()
+ {
+ // 1D
+ add_config(TensorShape(15U), Coordinates(0), Coordinates(5), BiStrides(2));
+ add_config(TensorShape(15U), Coordinates(-1), Coordinates(-8), BiStrides(-2));
+ // 2D
+ add_config(TensorShape(15U, 16U), Coordinates(0, 1), Coordinates(5, -1), BiStrides(2, 1));
+ add_config(TensorShape(15U, 16U), Coordinates(4, 1), Coordinates(12, -1), BiStrides(2, 1), 1);
+ // 3D
+ add_config(TensorShape(15U, 16U, 4U), Coordinates(0, 1, 2), Coordinates(5, -1, 4), BiStrides(2, 1, 2));
+ add_config(TensorShape(15U, 16U, 4U), Coordinates(0, 1, 2), Coordinates(5, -1, 4), BiStrides(2, 1, 2), 0, 1);
+ // 4D
+ add_config(TensorShape(15U, 16U, 4U, 12U), Coordinates(0, 1, 2, 2), Coordinates(5, -1, 4, 5), BiStrides(2, 1, 2, 3));
+ }
+};
+
+class LargeStridedSliceDataset final : public StridedSliceDataset
+{
+public:
+ LargeStridedSliceDataset()
+ {
+ // 1D
+ add_config(TensorShape(1025U), Coordinates(128), Coordinates(-100), BiStrides(20));
+ // 2D
+ add_config(TensorShape(372U, 68U), Coordinates(128U, 7U), Coordinates(368U, -30), BiStrides(10, 7));
+ // 3D
+ add_config(TensorShape(372U, 68U, 12U), Coordinates(128U, 7U, -1), Coordinates(368U, -30, -5), BiStrides(14, 7, -2));
+ // 4D
+ add_config(TensorShape(372U, 68U, 7U, 4U), Coordinates(128U, 7U, 2U), Coordinates(368U, -30, 5U), BiStrides(20, 7, 2), 1, 1);
+ }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_STRIDED_SLICE_DATASET */
diff --git a/tests/validation/CL/StridedSlice.cpp b/tests/validation/CL/StridedSlice.cpp
new file mode 100644
index 0000000..824f7b1
--- /dev/null
+++ b/tests/validation/CL/StridedSlice.cpp
@@ -0,0 +1,136 @@
+/*
+ * Copyright (c) 2017-2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLStridedSlice.h"
+
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/StridedSliceDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/StridedSliceFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(StridedSlice)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), // Invalid input shape
+ TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Zero stride
+ TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Big number of coordinates
+ TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Invalid Coords/Strides
+ TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32)
+ }),
+ framework::dataset::make("Starts", { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })),
+ framework::dataset::make("Ends", { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })),
+ framework::dataset::make("Strides", { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })),
+ framework::dataset::make("Expected", { false, false, false, false, true })),
+ input_info, starts, ends, strides, expected)
+{
+ TensorInfo output_info;
+ ARM_COMPUTE_EXPECT(bool(CLStridedSlice::validate(&input_info.clone()->set_is_resizable(false), &output_info, starts, ends, strides)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+DATA_TEST_CASE(Configuration,
+ framework::DatasetMode::ALL,
+ combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
+ shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)
+{
+ // Create tensors
+ CLTensor src = create_tensor<CLTensor>(shape, data_type);
+ CLTensor dst;
+
+ // Create and Configure function
+ CLStridedSlice strided_slice;
+ strided_slice.configure(&src, &dst, starts, ends, strides, begin_mask, end_mask, shrink_mask);
+
+ // Validate valid region
+ const ValidRegion valid_region = shape_to_valid_region(dst.info()->tensor_shape());
+ validate(dst.info()->valid_region(), valid_region);
+}
+
+template <typename T>
+using CLStridedSliceFixture = StridedSliceFixture<CLTensor, CLAccessor, CLStridedSlice, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+ CLStridedSliceFixture<half>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+ CLStridedSliceFixture<half>,
+ framework::DatasetMode::NIGHTLY,
+ combine(datasets::LargeStridedSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // FP16
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+ CLStridedSliceFixture<float>,
+ framework::DatasetMode::PRECOMMIT,
+ combine(datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+ CLStridedSliceFixture<float>,
+ framework::DatasetMode::NIGHTLY,
+ combine(datasets::LargeStridedSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // StridedSlice
+TEST_SUITE_END() // CL
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/StridedSliceFixture.h b/tests/validation/fixtures/StridedSliceFixture.h
new file mode 100644
index 0000000..26442ad
--- /dev/null
+++ b/tests/validation/fixtures/StridedSliceFixture.h
@@ -0,0 +1,119 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_STRIDED_SLICE_FIXTURE
+#define ARM_COMPUTE_TEST_STRIDED_SLICE_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/RawLutAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/StridedSlice.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class StridedSliceFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape,
+ Coordinates starts, Coordinates ends, BiStrides strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
+ DataType data_type)
+ {
+ _target = compute_target(shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type);
+ _reference = compute_reference(shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor, int i)
+ {
+ library->fill_tensor_uniform(tensor, i);
+ }
+
+ TensorType compute_target(const TensorShape &shape,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
+ DataType data_type)
+ {
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(shape, data_type);
+ TensorType dst;
+
+ // Create and configure function
+ FunctionType strided_slice;
+ strided_slice.configure(&src, &dst, starts, ends, strides, begin_mask, end_mask, shrink_mask);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensors
+ fill(AccessorType(src), 0);
+ fill(AccessorType(dst), 1);
+
+ // Compute function
+ strided_slice.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &shape,
+ const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
+ DataType data_type)
+ {
+ // Create reference
+ SimpleTensor<T> src{ shape, data_type };
+
+ // Fill reference
+ fill(src, 0);
+
+ return reference::strided_slice(src, starts, ends, strides, begin_mask, end_mask, shrink_mask);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_STRIDED_SLICE_FIXTURE */
diff --git a/tests/validation/reference/StridedSlice.cpp b/tests/validation/reference/StridedSlice.cpp
new file mode 100644
index 0000000..ac02ce1
--- /dev/null
+++ b/tests/validation/reference/StridedSlice.cpp
@@ -0,0 +1,92 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "StridedSlice.h"
+
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> strided_slice(const SimpleTensor<T> &src,
+ Coordinates starts, Coordinates ends, BiStrides strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+ using namespace arm_compute::helpers::tensor_transform;
+
+ // Validation checks
+ ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 4);
+ ARM_COMPUTE_ERROR_ON(starts.num_dimensions() > src.shape().num_dimensions());
+ ARM_COMPUTE_ERROR_ON(ends.num_dimensions() > src.shape().num_dimensions());
+ ARM_COMPUTE_ERROR_ON(strides.num_dimensions() > src.shape().num_dimensions());
+ for(unsigned int i = 0; i < strides.num_dimensions(); ++i)
+ {
+ ARM_COMPUTE_ERROR_ON(strides[i] == 0);
+ }
+
+ // Get source shape
+ const TensorShape &src_shape = src.shape();
+
+ // Get actual start, end coordinates and strides
+ const Coordinates final_strides = strided_slice_strides(src_shape, strides);
+ const Coordinates starts_abs = strided_slice_absolute_start_coords(src_shape, starts, final_strides, begin_mask);
+ const Coordinates ends_abs = strided_slice_absolute_end_coords(src_shape, starts_abs, ends, final_strides, end_mask, shrink_axis_mask);
+
+ // Get destination shape
+ const TensorShape dst_shape = compute_strided_slice_output_shape(src_shape, starts_abs, ends_abs, final_strides);
+
+ // Create destination tensor
+ SimpleTensor<T> dst{ dst_shape, src.data_type(), 1 };
+
+ // Perform strided slice
+ Window win;
+ win.use_tensor_dimensions(dst_shape);
+ execute_window_loop(win, [&](const Coordinates & id)
+ {
+ Coordinates offset;
+ for(unsigned int i = 0; i < id.num_dimensions(); ++i)
+ {
+ offset.set(i, starts_abs[i] + id[i] * final_strides[i]);
+ }
+ *reinterpret_cast<T *>(dst(id)) = *reinterpret_cast<const T *>(src(offset));
+ });
+
+ return dst;
+}
+
+template SimpleTensor<float> strided_slice(const SimpleTensor<float> &src,
+ Coordinates starts, Coordinates ends, BiStrides strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
+template SimpleTensor<half_float::half> strided_slice(const SimpleTensor<half_float::half> &src,
+ Coordinates starts, Coordinates ends, BiStrides strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/StridedSlice.h b/tests/validation/reference/StridedSlice.h
new file mode 100644
index 0000000..805b7e6
--- /dev/null
+++ b/tests/validation/reference/StridedSlice.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_TEST_STRIDED_SLICE_H__
+#define __ARM_COMPUTE_TEST_STRIDED_SLICE_H__
+
+#include "tests/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> strided_slice(const SimpleTensor<T> &src,
+ Coordinates starts, Coordinates ends, BiStrides strides,
+ int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_STRIDED_SLICE_H__ */