COMPMID-3384: Async support to NEStridedSliceLayerKernel kernels/functions
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: I631c566fdf38ff0388b38e71549a1291d351f8b6
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3426
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/runtime/NEON/functions/NEStridedSlice.h b/arm_compute/runtime/NEON/functions/NEStridedSlice.h
index 6d5e639..c5bf8be 100644
--- a/arm_compute/runtime/NEON/functions/NEStridedSlice.h
+++ b/arm_compute/runtime/NEON/functions/NEStridedSlice.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,21 +24,82 @@
#ifndef ARM_COMPUTE_NE_STRIDED_SLICE_H
#define ARM_COMPUTE_NE_STRIDED_SLICE_H
-#include "arm_compute/runtime/NEON/INESimpleFunction.h"
+#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/NEON/INEOperator.h"
namespace arm_compute
{
// Forward Declarations
class ITensor;
+namespace experimental
+{
/** Basic function to run @ref NEStridedSliceKernel */
-class NEStridedSlice : public INESimpleFunction
+class NEStridedSlice : public INEOperator
{
public:
/** Configure kernel
*
* @note Supported tensor rank: up to 4
*
+ * @param[in] input Source tensor info. Data type supported: All
+ * @param[out] output Destination tensor info. 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 ITensorInfo *input, 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);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref NEStridedSlice
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] input Source tensor info. Data type supported: All
+ * @param[in] output Destination tensor info. 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);
+
+ // Inherited methods overridden:
+ MemoryRequirements workspace() const override;
+};
+} // namespace experimental
+
+/** Basic function to run @ref NEStridedSliceKernel */
+class NEStridedSlice : public IFunction
+{
+public:
+ /** Default Constructor */
+ NEStridedSlice();
+ /** Default Destructor */
+ ~NEStridedSlice();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEStridedSlice(const NEStridedSlice &) = delete;
+ /** Default move constructor */
+ NEStridedSlice(NEStridedSlice &&);
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEStridedSlice &operator=(const NEStridedSlice &) = delete;
+ /** Default move assignment operator */
+ NEStridedSlice &operator=(NEStridedSlice &&);
+
+ /** Configure kernel
+ *
+ * @note Supported tensor rank: up to 4
+ *
* @param[in] input Source tensor. Data type supported: All
* @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).
@@ -70,6 +131,13 @@
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);
+
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ struct Impl;
+ std::unique_ptr<Impl> _impl;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NE_STRIDED_SLICE_H */