aboutsummaryrefslogtreecommitdiff
path: root/src/gpu/cl/operators
diff options
context:
space:
mode:
Diffstat (limited to 'src/gpu/cl/operators')
-rw-r--r--src/gpu/cl/operators/ClScatter.cpp57
-rw-r--r--src/gpu/cl/operators/ClScatter.h8
2 files changed, 53 insertions, 12 deletions
diff --git a/src/gpu/cl/operators/ClScatter.cpp b/src/gpu/cl/operators/ClScatter.cpp
index af5fbb86f3..a11ecd7e6a 100644
--- a/src/gpu/cl/operators/ClScatter.cpp
+++ b/src/gpu/cl/operators/ClScatter.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "src/common/utils/Log.h"
+#include "src/gpu/cl/kernels/ClCopyKernel.h"
#include "src/gpu/cl/kernels/ClFillKernel.h"
#include "src/gpu/cl/kernels/ClScatterKernel.h"
@@ -47,9 +48,19 @@ Status ClScatter::validate(const ITensorInfo *src,
const ScatterInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(updates, indices, dst);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32);
+ if (src != nullptr)
+ {
+ // Check dst/src are same shape and datatype.
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(src->tensor_shape(), dst->tensor_shape());
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, updates, dst);
+ ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClCopyKernel::validate(src, dst)); // Validate Copy kernel
+ }
+ if (src != dst)
+ {
+ ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClFillKernel::validate(dst, PixelValue(0.0f))); // Validate Fill kernel.
+ }
- return kernels::ClScatterKernel::validate(src, updates, indices, dst, info);
+ return kernels::ClScatterKernel::validate(updates, indices, dst, info);
}
void ClScatter::configure(const CLCompileContext &compile_context,
@@ -61,11 +72,6 @@ void ClScatter::configure(const CLCompileContext &compile_context,
{
ARM_COMPUTE_ERROR_ON_NULLPTR(updates, indices, dst);
ARM_COMPUTE_LOG_PARAMS(src, indices, dst, info);
- ARM_COMPUTE_UNUSED(src);
- ARM_COMPUTE_UNUSED(updates);
- ARM_COMPUTE_UNUSED(indices);
- ARM_COMPUTE_UNUSED(dst);
- ARM_COMPUTE_UNUSED(info);
// Perform validation step
ARM_COMPUTE_ERROR_THROW_ON(validate(src, updates, indices, dst, info));
@@ -74,19 +80,50 @@ void ClScatter::configure(const CLCompileContext &compile_context,
// If necessary, create fill kernel to fill dst tensor.
if (_fill_zero)
{
- _fill_kernel = std::make_unique<kernels::ClFillKernel>();
+ auto f = std::make_unique<kernels::ClFillKernel>();
+ f->configure(compile_context, dst, PixelValue(0.0f));
+ _fill_kernel = std::move(f);
+ }
+ else if (src != dst) // Check whether copying is necessary
+ {
+ // Fill dst with src copy here.
+ auto j = std::make_unique<kernels::ClCopyKernel>();
+ j->configure(compile_context, src, dst);
+ _copy_kernel = std::move(j);
+ _run_copy = true;
}
// Configure ClScatterKernel
auto k = std::make_unique<kernels::ClScatterKernel>();
k->set_target(CLScheduler::get().target());
- k->configure(compile_context, src, updates, indices, dst, info);
+ k->configure(compile_context, updates, indices, dst, info);
_scatter_kernel = std::move(k);
}
void ClScatter::run(ITensorPack &tensors)
{
- ARM_COMPUTE_UNUSED(tensors);
+ // Get tensors.
+ auto src = tensors.get_const_tensor(ACL_SRC_0);
+ auto updates = tensors.get_const_tensor(ACL_SRC_1);
+ auto indices = tensors.get_const_tensor(ACL_SRC_2);
+ auto dst = tensors.get_tensor(ACL_DST);
+
+ if (_fill_zero)
+ {
+ // Fill destination tensor with 0 values if zero init.
+ ITensorPack fill_pack{{ACL_SRC, dst}};
+ CLScheduler::get().enqueue_op(*_fill_kernel, fill_pack, false);
+ }
+
+ if (_run_copy)
+ {
+ // copy src to dst before scatter op.
+ ITensorPack copy_pack{{ACL_SRC, src}, {ACL_DST, dst}};
+ CLScheduler::get().enqueue_op(*_copy_kernel, copy_pack, false);
+ }
+
+ ITensorPack scatter_pack{{ACL_SRC_0, updates}, {ACL_SRC_1, indices}, {ACL_DST, dst}};
+ CLScheduler::get().enqueue_op(*_scatter_kernel, scatter_pack, false);
}
} // namespace opencl
diff --git a/src/gpu/cl/operators/ClScatter.h b/src/gpu/cl/operators/ClScatter.h
index 433f7ca3a4..a1b32fed45 100644
--- a/src/gpu/cl/operators/ClScatter.h
+++ b/src/gpu/cl/operators/ClScatter.h
@@ -39,6 +39,7 @@ namespace opencl
// Forward declaration
class ClFillKernel;
class ClScatterKernel;
+class ClCopyKernel;
/** Basic operator to execute Scatter on OpenCL. This operator calls the following OpenCL kernels:
*
@@ -56,13 +57,14 @@ public:
* Valid data layouts:
* - All
*
- * @note indices must always be U32
+ * @note indices must always be S32.
+ * @note Negative indices are treated as out of bounds.
* @note src, updates and dst tensors must be same datatype.
*
* @param[in] compile_context The compile context to be used.
* @param[in] src Source input tensor info. Can be nullptr when using "Add" Scatter Function with zero initialization.
* @param[in] updates Tensor info for tensor storing update values to use for scatter function. Data types supported: same as @p src.
- * @param[in] indices Tensor info for tensor storing indices to use for scatter function. Data types supported: U32 only.
+ * @param[in] indices Tensor info for tensor storing indices to use for scatter function. Data types supported: S32 only.
* @param[out] dst Output tensor to store the result of the Scatter Function. Data types supported: same as @p src and @p updates.
* @param[in] Scatter_info Contains Scatter operation information described in @ref ScatterInfo.
*/
@@ -89,7 +91,9 @@ public:
private:
std::unique_ptr<opencl::IClKernel> _scatter_kernel{nullptr};
std::unique_ptr<opencl::IClKernel> _fill_kernel{nullptr};
+ std::unique_ptr<opencl::IClKernel> _copy_kernel{nullptr};
bool _fill_zero{false};
+ bool _run_copy{false};
};
} // namespace opencl
} // namespace arm_compute