"src/core/CL/kernels/CLDerivativeKernel.cpp",
"src/core/CL/kernels/CLDilateKernel.cpp",
"src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp",
- "src/core/CL/kernels/CLElementWiseUnaryLayerKernel.cpp",
"src/core/CL/kernels/CLErodeKernel.cpp",
"src/core/CL/kernels/CLFFTDigitReverseKernel.cpp",
"src/core/CL/kernels/CLFFTRadixStageKernel.cpp",
"src/core/gpu/cl/kernels/ClBatchConcatenateKernel.cpp",
"src/core/gpu/cl/kernels/ClDepthConcatenateKernel.cpp",
"src/core/gpu/cl/kernels/ClElementwiseKernel.cpp",
+ "src/core/gpu/cl/kernels/ClElementwiseUnaryKernel.cpp",
"src/core/gpu/cl/kernels/ClFloorKernel.cpp",
"src/core/gpu/cl/kernels/ClHeightConcatenateKernel.cpp",
"src/core/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.cpp",
"src/runtime/gpu/cl/operators/ClAdd.cpp",
"src/runtime/gpu/cl/operators/ClConcatenate.cpp",
"src/runtime/gpu/cl/operators/ClElementwiseOperations.cpp",
+ "src/runtime/gpu/cl/operators/ClElementwiseUnary.cpp",
"src/runtime/gpu/cl/operators/ClFloor.cpp",
+ "src/runtime/gpu/cl/operators/ClLogicalNot.cpp",
"src/runtime/gpu/cl/operators/ClSub.cpp",
"utils/CommonGraphOptions.cpp",
"utils/GraphUtils.cpp",
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
#ifndef ARM_COMPUTE_CLELEMENTWISEUNARYLAYER_H
#define ARM_COMPUTE_CLELEMENTWISEUNARYLAYER_H
-#include "arm_compute/runtime/CL/ICLOperator.h"
-#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/Types.h"
+
+#include <memory>
namespace arm_compute
{
struct Impl;
std::unique_ptr<Impl> _impl;
};
-
-namespace experimental
-{
-/** Basic function to perform inverse square root on an input tensor. */
-class CLRsqrt : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLRsqrtLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-
-/** Basic function to perform exponential on an input tensor. */
-class CLExp : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLExpLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-
-/** Basic function to negate an input tensor. */
-class CLNeg : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLNegLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-
-/** Basic function to calculate sine of an input tensor. */
-class CLSin : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLSinLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-
-/** Basic function to perform elementwise log on an input tensor. */
-class CLLog : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLLogLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-
-/** Basic function to get the absolute value of an input tensor. */
-class CLAbs : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLAbsLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-
-/** Basic function to get the round (to the nearest even) value of an input tensor. */
-class CLRound : public ICLOperator
-{
-public:
- /** Initialize the function
- *
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output);
- /** Initialize the function
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLRoundLayer
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
-};
-} // namespace experimental
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLELEMENTWISEUNARYLAYER_H */
/*
- * Copyright (c) 2020 Arm Limited.
+ * Copyright (c) 2020-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
#ifndef ARM_COMPUTE_CLLOGICALNOT_H
#define ARM_COMPUTE_CLLOGICALNOT_H
-#include "arm_compute/core/Error.h"
-#include "arm_compute/runtime/CL/ICLOperator.h"
#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/core/Types.h"
+
+#include <memory>
+
namespace arm_compute
{
class CLCompileContext;
class ICLTensor;
class ITensorInfo;
-namespace experimental
-{
-class CLLogicalNot : public ICLOperator
-{
-public:
- /** Default Constructor */
- CLLogicalNot() = default;
- /** Initialise the kernel's inputs, output and conversion policy.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in, out] input Tensor input. Data types supported: U8.
- * @param[out] output Output tensor. Data types supported: same as @p input.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output);
- /** Static function to check if given info will lead to a valid configuration of @ref CLElementWiseUnaryLayerKernel
- *
- * @param[in] input Tensor input info. Data types supported: U8.
- * @param[in] output Output tensor info. Data types supported: same as @p input.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output);
- // Inherited methods overridden:
- void run(ITensorPack &tensors) override;
-};
-} // namespace experimental
-
/** Basic function to do logical NOT operation
*
* @note The tensor data type for the inputs must be U8.
- @ref CLReverse / @ref CLReverseKernel
- @ref CLRsqrtLayer
- @ref CLExpLayer
- - @ref CLElementWiseUnaryLayerKernel
+ - CLElementWiseUnaryLayerKernel
- @ref CLGEMMReshapeLHSMatrixKernel
- @ref CLGEMMReshapeRHSMatrixKernel
- @ref CLGEMMMatrixMultiplyReshapedKernel
#include "src/core/CL/kernels/CLDerivativeKernel.h"
#include "src/core/CL/kernels/CLDilateKernel.h"
#include "src/core/CL/kernels/CLDirectConvolutionLayerKernel.h"
-#include "src/core/CL/kernels/CLElementWiseUnaryLayerKernel.h"
#include "src/core/CL/kernels/CLErodeKernel.h"
#include "src/core/CL/kernels/CLFFTDigitReverseKernel.h"
#include "src/core/CL/kernels/CLFFTRadixStageKernel.h"
+++ /dev/null
-/*
- * Copyright (c) 2018-2020 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 "src/core/CL/kernels/CLElementWiseUnaryLayerKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "src/core/CL/CLValidate.h"
-#include "src/core/helpers/WindowHelpers.h"
-#include "support/Cast.h"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-namespace
-{
-Status validate_arguments(const ITensorInfo &input, const ITensorInfo &output, const ElementWiseUnary op)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&input);
- if(op == ElementWiseUnary::LOGICAL_NOT)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input, 1, DataType::U8);
- }
- else
- {
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input, 1, DataType::F16, DataType::F32);
- }
-
- // Validate in case of configured output
- if(output.total_size() > 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&input, &output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&input, &output);
- }
-
- return Status{};
-}
-} // namespace
-
-void CLElementWiseUnaryLayerKernel::configure(const ITensorInfo *input, ITensorInfo *output, const ElementWiseUnary &op)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, output, op);
-}
-
-void CLElementWiseUnaryLayerKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output, const ElementWiseUnary &op)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
- auto padding_info = get_padding_info({ input, output });
-
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*input, *output, op));
-
- const std::string kernel_name = "elementwise_unary";
- const int vec_size_x = 16 / output->element_size();
- const int output_width_x = output->tensor_shape().x();
- const bool multi_access_x = (output_width_x / vec_size_x > 0);
-
- // Set kernel build options
- CLBuildOptions build_opts;
- build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->data_type()));
- build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
- build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
- switch(op)
- {
- case ElementWiseUnary::RSQRT:
- build_opts.add_option("-DOPERATION=rsqrt_op");
- break;
- case ElementWiseUnary::EXP:
- build_opts.add_option("-DOPERATION=exp_op");
- break;
- case ElementWiseUnary::NEG:
- build_opts.add_option("-DOPERATION=neg_op");
- break;
- case ElementWiseUnary::SIN:
- build_opts.add_option("-DOPERATION=sin_op");
- break;
- case ElementWiseUnary::ABS:
- build_opts.add_option("-DOPERATION=fabs_op");
- break;
- case ElementWiseUnary::LOG:
- build_opts.add_option("-DOPERATION=natural_log_op");
- break;
- case ElementWiseUnary::ROUND:
- build_opts.add_option("-DOPERATION=round_op");
- break;
- case ElementWiseUnary::LOGICAL_NOT:
- build_opts.add_option("-DOPERATION=logical_not_op");
- break;
- default:
- ARM_COMPUTE_ERROR("Not implemented");
- }
-
- // Create kernel
- _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
-
- // Configure kernel window
- Window win = calculate_max_window(*output);
- if(multi_access_x)
- {
- win.set(Window::DimX,
- Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
- }
- ICLKernel::configure_internal(win);
-
- ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
-}
-
-Status CLElementWiseUnaryLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ElementWiseUnary &op)
-{
- ARM_COMPUTE_UNUSED(op);
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*input, *output, op));
-
- return Status{};
-}
-
-void CLElementWiseUnaryLayerKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
-
- Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
- Window slice = collapsed.first_slice_window_3D();
-
- const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
- auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
-
- do
- {
- unsigned int idx = 0;
- add_3D_tensor_argument(idx, src, slice);
- add_3D_tensor_argument(idx, dst, slice);
- enqueue(queue, *this, slice, lws_hint());
- }
- while(collapsed.slide_window_slice_3D(slice));
-}
-} // namespace arm_compute
+++ /dev/null
-/*
- * Copyright (c) 2018-2020 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_CLELEMENTWISEUNARYLAYERKERNEL_H
-#define ARM_COMPUTE_CLELEMENTWISEUNARYLAYERKERNEL_H
-
-#include "arm_compute/core/Types.h"
-#include "src/core/CL/ICLKernel.h"
-#include "src/core/CL/ICLSimpleKernel.h"
-
-namespace arm_compute
-{
-/** Interface for the elementwise unary operator */
-class CLElementWiseUnaryLayerKernel : public ICLKernel
-{
-public:
- /** Initialise the kernel's inputs, output.
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: Same as @p input.
- * @param[in] op Element wise unary operation to perform.
- */
- void configure(const ITensorInfo *input, ITensorInfo *output, const ElementWiseUnary &op);
- /** Initialise the kernel's inputs, output.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[out] output Output tensor info. Data types supported: Same as @p input.
- * @param[in] op Element wise unary operation to perform.
- */
- void configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output, const ElementWiseUnary &op);
- /** Static function to check if given info will lead to a valid configuration of @ref CLElementWiseUnaryLayerKernel
- *
- * @param[in] input First tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: Same as @p input.
- * @param[in] op Element wise unary operation to perform.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ElementWiseUnary &op);
-
- // Inherited methods overridden:
- void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
-};
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_CLELEMENTWISEUNARYLAYERKERNEL_H */
--- /dev/null
+/*
+ * Copyright (c) 2018-2021 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 "src/core/gpu/cl/kernels/ClElementwiseUnaryKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "src/core/CL/CLValidate.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "support/Cast.h"
+#include "support/StringSupport.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo &src, const ITensorInfo &dst, const ElementWiseUnary op)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&src);
+ if(op == ElementWiseUnary::LOGICAL_NOT)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::U8);
+ }
+ else
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32);
+ }
+
+ // Validate in case of configured dst
+ if(dst.total_size() > 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src, &dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&src, &dst);
+ }
+
+ return Status{};
+}
+} // namespace
+
+void ClElementWiseUnaryKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const ElementWiseUnary &op)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+ auto padding_info = get_padding_info({ src, dst });
+
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src, *dst, op));
+
+ const std::string kernel_name = "elementwise_unary";
+ const int vec_size_x = 16 / dst->element_size();
+ const int dst_width_x = dst->tensor_shape().x();
+ const bool multi_access_x = (dst_width_x / vec_size_x > 0);
+
+ // Set kernel build options
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type()));
+ build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+ build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(dst_width_x - vec_size_x, 0)));
+ switch(op)
+ {
+ case ElementWiseUnary::RSQRT:
+ build_opts.add_option("-DOPERATION=rsqrt_op");
+ break;
+ case ElementWiseUnary::EXP:
+ build_opts.add_option("-DOPERATION=exp_op");
+ break;
+ case ElementWiseUnary::NEG:
+ build_opts.add_option("-DOPERATION=neg_op");
+ break;
+ case ElementWiseUnary::SIN:
+ build_opts.add_option("-DOPERATION=sin_op");
+ break;
+ case ElementWiseUnary::ABS:
+ build_opts.add_option("-DOPERATION=fabs_op");
+ break;
+ case ElementWiseUnary::LOG:
+ build_opts.add_option("-DOPERATION=natural_log_op");
+ break;
+ case ElementWiseUnary::ROUND:
+ build_opts.add_option("-DOPERATION=round_op");
+ break;
+ case ElementWiseUnary::LOGICAL_NOT:
+ build_opts.add_option("-DOPERATION=logical_not_op");
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Not implemented");
+ }
+
+ // Create kernel
+ _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
+
+ // Configure kernel window
+ Window win = calculate_max_window(*dst);
+ if(multi_access_x)
+ {
+ win.set(Window::DimX,
+ Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x));
+ }
+ ICLKernel::configure_internal(win);
+
+ ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClElementWiseUnaryKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ElementWiseUnary &op)
+{
+ ARM_COMPUTE_UNUSED(op);
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src, *dst, op));
+
+ return Status{};
+}
+
+void ClElementWiseUnaryKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ Window slice = collapsed.first_slice_window_3D();
+
+ const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, src, slice);
+ add_3D_tensor_argument(idx, dst, slice);
+ enqueue(queue, *this, slice, lws_hint());
+ }
+ while(collapsed.slide_window_slice_3D(slice));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
--- /dev/null
+/*
+ * Copyright (c) 2018-2021 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_ELEMENTWISE_UNARY_KERNEL_H
+#define ARM_COMPUTE_CL_ELEMENTWISE_UNARY_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/core/gpu/cl/IClKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+/** Interface for the elementwise unary operator */
+class ClElementWiseUnaryKernel : public IClKernel
+{
+public:
+ ClElementWiseUnaryKernel() = default;
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClElementWiseUnaryKernel);
+ /** Initialise the kernel's srcs, dst.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ * @param[in] op Element wise unary operation to perform.
+ */
+ void configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const ElementWiseUnary &op);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClElementWiseUnaryKernel
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ * @param[in] op Element wise unary operation to perform.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const ElementWiseUnary &op);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
+};
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_ELEMENTWISE_UNARY_KERNEL_H */
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
*/
#include "arm_compute/runtime/CL/functions/CLElementWiseUnaryLayer.h"
-#include "src/core/CL/kernels/CLElementWiseUnaryLayerKernel.h"
-
-#include <utility>
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "src/core/CL/ICLKernel.h"
+#include "src/runtime/gpu/cl/operators/ClElementwiseUnary.h"
namespace arm_compute
{
-namespace experimental
-{
-void CLRsqrt::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::RSQRT);
- _kernel = std::move(k);
-}
-
-Status CLRsqrt::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::RSQRT);
-}
-
-void CLExp::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::EXP);
- _kernel = std::move(k);
-}
-
-Status CLExp::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::EXP);
-}
-
-void CLNeg::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::NEG);
- _kernel = std::move(k);
-}
-
-Status CLNeg::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::NEG);
-}
-
-void CLSin::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::SIN);
- _kernel = std::move(k);
-}
-
-Status CLSin::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::SIN);
-}
-
-void CLAbs::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::ABS);
- _kernel = std::move(k);
-}
-
-Status CLAbs::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::ABS);
-}
-
-void CLLog::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::LOG);
- _kernel = std::move(k);
-}
-
-Status CLLog::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::LOG);
-}
-
-void CLRound::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::ROUND);
- _kernel = std::move(k);
-}
-
-Status CLRound::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return arm_compute::CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::ROUND);
-}
-} // namespace experimental
-
struct CLRsqrtLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLRsqrt> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClRsqrt> op{ nullptr };
};
CLRsqrtLayer::CLRsqrtLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLRsqrt>();
+ _impl->op = std::make_unique<opencl::ClRsqrt>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLRsqrtLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLRsqrt::validate(input, output);
+ return opencl::ClRsqrt::validate(input, output);
}
void CLRsqrtLayer::run()
struct CLExpLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLExp> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClExp> op{ nullptr };
};
CLExpLayer::CLExpLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLExp>();
+ _impl->op = std::make_unique<opencl::ClExp>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLExpLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLExp::validate(input, output);
+ return opencl::ClExp::validate(input, output);
}
void CLExpLayer::run()
struct CLNegLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLNeg> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClNeg> op{ nullptr };
};
CLNegLayer::CLNegLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLNeg>();
+ _impl->op = std::make_unique<opencl::ClNeg>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLNegLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLNeg::validate(input, output);
+ return opencl::ClNeg::validate(input, output);
}
void CLNegLayer::run()
struct CLSinLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLSin> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClSin> op{ nullptr };
};
CLSinLayer::CLSinLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLSin>();
+ _impl->op = std::make_unique<opencl::ClSin>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLSinLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLSin::validate(input, output);
+ return opencl::ClSin::validate(input, output);
}
void CLSinLayer::run()
struct CLAbsLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLAbs> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClAbs> op{ nullptr };
};
CLAbsLayer::CLAbsLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLAbs>();
+ _impl->op = std::make_unique<opencl::ClAbs>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLAbsLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLAbs::validate(input, output);
+ return opencl::ClAbs::validate(input, output);
}
void CLAbsLayer::run()
struct CLLogLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLLog> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClLog> op{ nullptr };
};
CLLogLayer::CLLogLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLLog>();
+ _impl->op = std::make_unique<opencl::ClLog>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLLogLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLLog::validate(input, output);
+ return opencl::ClLog::validate(input, output);
}
void CLLogLayer::run()
struct CLRoundLayer::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLRound> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClRound> op{ nullptr };
};
CLRoundLayer::CLRoundLayer()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLRound>();
+ _impl->op = std::make_unique<opencl::ClRound>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLRoundLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLRound::validate(input, output);
+ return opencl::ClRound::validate(input, output);
}
void CLRoundLayer::run()
/*
- * Copyright (c) 2020 Arm Limited.
+ * Copyright (c) 2020-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* SOFTWARE.
*/
#include "arm_compute/runtime/CL/functions/CLLogicalNot.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "src/core/CL/kernels/CLElementWiseUnaryLayerKernel.h"
-#include <utility>
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "src/core/CL/ICLKernel.h"
+#include "src/runtime/gpu/cl/operators/ClLogicalNot.h"
namespace arm_compute
{
-namespace experimental
-{
-void CLLogicalNot::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output)
-{
- auto k = std::make_unique<CLElementWiseUnaryLayerKernel>();
- k->configure(compile_context, input, output, ElementWiseUnary::LOGICAL_NOT);
- _kernel = std::move(k);
-}
-
-Status CLLogicalNot::validate(const ITensorInfo *input, const ITensorInfo *output)
-{
- return CLElementWiseUnaryLayerKernel::validate(input, output, ElementWiseUnary::LOGICAL_NOT);
-}
-
-void CLLogicalNot::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-} // namespace experimental
-
struct CLLogicalNot::Impl
{
- const ICLTensor *src{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLLogicalNot> op{ nullptr };
+ const ICLTensor *src{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClLogicalNot> op{ nullptr };
};
CLLogicalNot::CLLogicalNot()
{
_impl->src = input;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLLogicalNot>();
+ _impl->op = std::make_unique<opencl::ClLogicalNot>();
_impl->op->configure(compile_context, input->info(), output->info());
}
Status CLLogicalNot::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return experimental::CLLogicalNot::validate(input, output);
+ return opencl::ClLogicalNot::validate(input, output);
}
void CLLogicalNot::run()
--- /dev/null
+/*
+ * Copyright (c) 2021 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 "src/runtime/gpu/cl/operators/ClElementwiseUnary.h"
+
+#include "src/core/gpu/cl/kernels/ClElementwiseUnaryKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClRsqrt::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::RSQRT);
+ _kernel = std::move(k);
+}
+
+Status ClRsqrt::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::RSQRT);
+}
+
+void ClExp::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::EXP);
+ _kernel = std::move(k);
+}
+
+Status ClExp::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::EXP);
+}
+
+void ClNeg::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::NEG);
+ _kernel = std::move(k);
+}
+
+Status ClNeg::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::NEG);
+}
+
+void ClSin::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::SIN);
+ _kernel = std::move(k);
+}
+
+Status ClSin::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::SIN);
+}
+
+void ClAbs::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::ABS);
+ _kernel = std::move(k);
+}
+
+Status ClAbs::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::ABS);
+}
+
+void ClLog::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::LOG);
+ _kernel = std::move(k);
+}
+
+Status ClLog::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::LOG);
+}
+
+void ClRound::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::ROUND);
+ _kernel = std::move(k);
+}
+
+Status ClRound::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::ROUND);
+}
+} // namespace opencl
+} // namespace arm_compute
--- /dev/null
+/*
+ * Copyright (c) 2021 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_ELEMENTWISE_UNARY_H
+#define ARM_COMPUTE_CL_ELEMENTWISE_UNARY_H
+
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/runtime/gpu/cl/IClOperator.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Basic function to perform inverse square root on an src tensor. */
+class ClRsqrt : public IClOperator
+{
+public:
+ /** Constructor */
+ ClRsqrt() = default;
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClRsqrt
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+
+/** Basic function to perform exponential on an src tensor. */
+class ClExp : public IClOperator
+{
+public:
+ /** Constructor */
+ ClExp() = default;
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClExp
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+
+/** Basic function to negate an src tensor. */
+class ClNeg : public IClOperator
+{
+public:
+ /** Constructor */
+ ClNeg() = default;
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClNeg
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+
+/** Basic function to calculate sine of an src tensor. */
+class ClSin : public IClOperator
+{
+public:
+ /** Constructor */
+ ClSin() = default;
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClSin
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+
+/** Basic function to perform elementwise log on an src tensor. */
+class ClLog : public IClOperator
+{
+public:
+ /** Constructor */
+ ClLog() = default;
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClLog
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+
+/** Basic function to get the absolute value of an src tensor. */
+class ClAbs : public IClOperator
+{
+public:
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClAbs
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+
+/** Basic function to get the round (to the nearest even) value of an src tensor. */
+class ClRound : public IClOperator
+{
+public:
+ /** Initialize the function
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration of @ref ClRound
+ *
+ * @param[in] src First source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_ELEMENTWISE_UNARY_H */
--- /dev/null
+/*
+ * Copyright (c) 2017-2021 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 "src/runtime/gpu/cl/operators/ClLogicalNot.h"
+
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/core/gpu/cl/kernels/ClElementwiseUnaryKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClLogicalNot::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst)
+{
+ auto k = std::make_unique<kernels::ClElementWiseUnaryKernel>();
+ k->configure(compile_context, src, dst, ElementWiseUnary::LOGICAL_NOT);
+ _kernel = std::move(k);
+}
+
+Status ClLogicalNot::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ return kernels::ClElementWiseUnaryKernel::validate(src, dst, ElementWiseUnary::LOGICAL_NOT);
+}
+} // namespace opencl
+} // namespace arm_compute
--- /dev/null
+/*
+ * Copyright (c) 2021 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_LOGICAL_NOT_H
+#define ARM_COMPUTE_CL_LOGICAL_NOT_H
+
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/runtime/gpu/cl/IClOperator.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Basic function to run @ref kernels::ClElementWiseUnaryKernel for NOT operation */
+class ClLogicalNot : public IClOperator
+{
+public:
+ /** Constructor */
+ ClLogicalNot() = default;
+ /** Configure operator for a given list of arguments
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src Source tensor info. Data types supported: U8.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src.
+ */
+ void configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst);
+ /** Static function to check if given info will lead to a valid configuration
+ *
+ * @param[in] src Soure tensor info. Data types supported: U8.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_LOGICAL_NOT_H */
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