"src/runtime/gpu/cl/operators/ClActivation.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/ClFloor.cpp",
"src/runtime/gpu/cl/operators/ClSub.cpp",
"utils/CommonGraphOptions.cpp",
class CLCompileContext;
class ITensorInfo;
-namespace experimental
-{
-/** Basic function to run @ref arm_compute::opencl::kernels::ClSaturatedArithmeticKernel for division
- *
- * @note The tensor data type for the inputs must be F16/F32.
- * @note The function performs an arithmetic division between two tensors.
- */
-class CLArithmeticDivision : public ICLOperator
-{
-public:
- /** Default Constructor */
- CLArithmeticDivision();
- /** Initialise the kernel's inputs, output.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in, out] input1 First tensor input. Data types supported: F16/F32.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 Second tensor input. Same as @p input1.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported: Same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- */
- void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision
- *
- * @param[in] input1 First tensor input info. Data types supported: F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
- * @param[in] output Output tensor info. Data types supported: Same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run(ITensorPack &tensors) override;
-};
-
-/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for max
- *
- * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
- * @note The function performs a max operation between two tensors.
- */
-class CLElementwiseMax : public ICLOperator
-{
-public:
- /** Default Constructor */
- CLElementwiseMax();
- /** Initialise the kernel's inputs, output and conversion policy.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported: same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- */
- void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for max
- *
- * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: same as @p input1.
- * @param[in] output Output tensor info. Data types supported: same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run(ITensorPack &tensors) override;
-};
-
-/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for min
- *
- * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
- * @note The function performs a max operation between two tensors.
- */
-class CLElementwiseMin : public ICLOperator
-{
-public:
- /** Default Constructor */
- CLElementwiseMin();
- /** Initialise the kernel's inputs, output and conversion policy.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported: same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- */
- void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for min
- *
- * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: same as @p input1.
- * @param[in] output Output tensor info. Data types supported: same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run(ITensorPack &tensors) override;
-};
-
-/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for squared difference
- *
- * @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/F16/F32.
- * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
- */
-class CLElementwiseSquaredDiff : public ICLOperator
-{
-public:
- /** Default Constructor */
- CLElementwiseSquaredDiff();
- /** Initialise the kernel's inputs, output and conversion policy.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported: same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- */
- void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for squared difference
- *
- * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: same as @p input1.
- * @param[in] output Output tensor info. Data types supported: same as @p input1.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run(ITensorPack &tensors) override;
-};
-
-/** Basic function to run @ref arm_compute::opencl::kernels::ClArithmeticKernel for power
- *
- * @note The tensor data type for the inputs must be F16/F32.
- * @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
- */
-class CLElementwisePower : public ICLOperator
-{
-public:
- /** Default Constructor */
- CLElementwisePower();
- /** Initialise the kernel's inputs, output and conversion policy.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in, out] input1 First tensor input. Data types supported: F16/F32.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[in, out] input2 Second tensor input. Data types supported: F16/F32.
- * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
- * @param[out] output Output tensor. Data types supported:F16/F32.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- */
- void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref arm_compute::opencl::kernels::ClArithmeticKernel for power
- *
- * @param[in] input1 First tensor input info. Data types supported: F16/F32.
- * @param[in] input2 Second tensor input info. Data types supported: F16/F32.
- * @param[in] output Output tensor info. Data types supported: F16/F32.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run(ITensorPack &tensors) override;
-};
-} // namespace experimental
-
/** Basic function to run @ref opencl::kernels::ClSaturatedArithmeticKernel for addition
*
* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
*/
#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/runtime/CL/CLScheduler.h"
-#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
+#include "arm_compute/core/Types.h"
+#include "src/core/CL/ICLKernel.h"
#include "src/runtime/gpu/cl/operators/ClAdd.h"
+#include "src/runtime/gpu/cl/operators/ClElementwiseOperations.h"
#include "src/runtime/gpu/cl/operators/ClSub.h"
-#include <utility>
-
namespace arm_compute
{
-namespace experimental
-{
-CLArithmeticDivision::CLArithmeticDivision()
-{
-}
-
-void CLArithmeticDivision::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
- k->configure(compile_context, ArithmeticOperation::DIV, input1, input2, output, act_info);
- _kernel = std::move(k);
-}
-
-Status CLArithmeticDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::DIV, input1, input2, output, act_info);
-}
-
-void CLArithmeticDivision::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-
-CLElementwiseMax::CLElementwiseMax()
-{
-}
-
-void CLElementwiseMax::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
- k->configure(compile_context, ArithmeticOperation::MAX, input1, input2, output, act_info);
- _kernel = std::move(k);
-}
-
-Status CLElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::MAX, input1, input2, output, act_info);
-}
-
-void CLElementwiseMax::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-
-CLElementwiseMin::CLElementwiseMin()
-{
-}
-
-void CLElementwiseMin::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
- k->configure(compile_context, ArithmeticOperation::MIN, input1, input2, output, act_info);
- _kernel = std::move(k);
-}
-
-Status CLElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::MIN, input1, input2, output, act_info);
-}
-
-void CLElementwiseMin::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-
-CLElementwiseSquaredDiff::CLElementwiseSquaredDiff()
-{
-}
-
-void CLElementwiseSquaredDiff::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
- k->configure(compile_context, ArithmeticOperation::SQUARED_DIFF, input1, input2, output, act_info);
- _kernel = std::move(k);
-}
-
-Status CLElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output, act_info);
-}
-
-void CLElementwiseSquaredDiff::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-
-CLElementwisePower::CLElementwisePower()
-{
-}
-
-void CLElementwisePower::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
- k->configure(compile_context, ArithmeticOperation::POWER, input1, input2, output, act_info);
- _kernel = std::move(k);
-}
-
-Status CLElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
-{
- return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::POWER, input1, input2, output, act_info);
-}
-
-void CLElementwisePower::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-} // namespace experimental
struct CLArithmeticAddition::Impl
{
const ICLTensor *src_0{ nullptr };
struct CLArithmeticDivision::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLArithmeticDivision> op{ nullptr };
+ const ICLTensor *src_0{ nullptr };
+ const ICLTensor *src_1{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClElementwiseDivision> op{ nullptr };
};
CLArithmeticDivision::CLArithmeticDivision()
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLArithmeticDivision>();
+ _impl->op = std::make_unique<opencl::ClElementwiseDivision>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
}
Status CLArithmeticDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return experimental::CLArithmeticDivision::validate(input1, input2, output, act_info);
+ return opencl::ClElementwiseDivision::validate(input1, input2, output, act_info);
}
void CLArithmeticDivision::run()
struct CLElementwiseMax::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLElementwiseMax> op{ nullptr };
+ const ICLTensor *src_0{ nullptr };
+ const ICLTensor *src_1{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClElementwiseMax> op{ nullptr };
};
CLElementwiseMax::CLElementwiseMax()
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLElementwiseMax>();
+ _impl->op = std::make_unique<opencl::ClElementwiseMax>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
}
Status CLElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return experimental::CLElementwiseMax::validate(input1, input2, output, act_info);
+ return opencl::ClElementwiseMax::validate(input1, input2, output, act_info);
}
void CLElementwiseMax::run()
struct CLElementwiseMin::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLElementwiseMin> op{ nullptr };
+ const ICLTensor *src_0{ nullptr };
+ const ICLTensor *src_1{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClElementwiseMin> op{ nullptr };
};
CLElementwiseMin::CLElementwiseMin()
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLElementwiseMin>();
+ _impl->op = std::make_unique<opencl::ClElementwiseMin>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
}
Status CLElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return experimental::CLElementwiseMin::validate(input1, input2, output, act_info);
+ return opencl::ClElementwiseMin::validate(input1, input2, output, act_info);
}
void CLElementwiseMin::run()
struct CLElementwiseSquaredDiff::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLElementwiseSquaredDiff> op{ nullptr };
+ const ICLTensor *src_0{ nullptr };
+ const ICLTensor *src_1{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClElementwiseSquaredDiff> op{ nullptr };
};
CLElementwiseSquaredDiff::CLElementwiseSquaredDiff()
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLElementwiseSquaredDiff>();
+ _impl->op = std::make_unique<opencl::ClElementwiseSquaredDiff>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
}
Status CLElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return experimental::CLElementwiseSquaredDiff::validate(input1, input2, output, act_info);
+ return opencl::ClElementwiseSquaredDiff::validate(input1, input2, output, act_info);
}
void CLElementwiseSquaredDiff::run()
struct CLElementwisePower::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLElementwisePower> op{ nullptr };
+ const ICLTensor *src_0{ nullptr };
+ const ICLTensor *src_1{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClElementwisePower> op{ nullptr };
};
CLElementwisePower::CLElementwisePower()
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLElementwisePower>();
+ _impl->op = std::make_unique<opencl::ClElementwisePower>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
}
Status CLElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return experimental::CLElementwisePower::validate(input1, input2, output, act_info);
+ return opencl::ClElementwisePower::validate(input1, input2, output, act_info);
}
void CLElementwisePower::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/ClElementwiseOperations.h"
+
+#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClElementwiseDivision::configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ auto k = std::make_unique<kernels::ClArithmeticKernel>();
+ k->configure(compile_context, ArithmeticOperation::DIV, src1, src2, dst, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClElementwiseDivision::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClArithmeticKernel::validate(ArithmeticOperation::DIV, src1, src2, dst, act_info);
+}
+
+void ClElementwiseMax::configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ auto k = std::make_unique<kernels::ClArithmeticKernel>();
+ k->configure(compile_context, ArithmeticOperation::MAX, src1, src2, dst, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClElementwiseMax::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClArithmeticKernel::validate(ArithmeticOperation::MAX, src1, src2, dst, act_info);
+}
+
+void ClElementwiseMin::configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ auto k = std::make_unique<kernels::ClArithmeticKernel>();
+ k->configure(compile_context, ArithmeticOperation::MIN, src1, src2, dst, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClElementwiseMin::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClArithmeticKernel::validate(ArithmeticOperation::MIN, src1, src2, dst, act_info);
+}
+
+void ClElementwiseSquaredDiff::configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ auto k = std::make_unique<kernels::ClArithmeticKernel>();
+ k->configure(compile_context, ArithmeticOperation::SQUARED_DIFF, src1, src2, dst, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClElementwiseSquaredDiff::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClArithmeticKernel::validate(ArithmeticOperation::SQUARED_DIFF, src1, src2, dst, act_info);
+}
+
+void ClElementwisePower::configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ auto k = std::make_unique<kernels::ClArithmeticKernel>();
+ k->configure(compile_context, ArithmeticOperation::POWER, src1, src2, dst, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClElementwisePower::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClArithmeticKernel::validate(ArithmeticOperation::POWER, src1, src2, dst, act_info);
+}
+} // 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_OPERATIONS_H
+#define ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_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 opencl::kernels::ClArithmeticKernel for division
+ *
+ * @note The tensor data type for the inputs must be F16/F32.
+ * @note The function performs an arithmetic division between two tensors.
+ */
+class ClElementwiseDivision : public IClOperator
+{
+public:
+ /** Default Constructor */
+ ClElementwiseDivision() = default;
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: F16/F32.
+ * @param[in] src2 Second source tensor info. same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref ClElementwiseDivision
+ *
+ * @param[in] src1 First source tensor info. Data types supported: F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for max
+ *
+ * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
+ * @note The function performs a max operation between two tensors.
+ */
+class ClElementwiseMax : public IClOperator
+{
+public:
+ /** Default Constructor */
+ ClElementwiseMax() = default;
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for max
+ *
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for min
+ *
+ * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
+ * @note The function performs a max operation between two tensors.
+ */
+class ClElementwiseMin : public IClOperator
+{
+public:
+ /** Default Constructor */
+ ClElementwiseMin() = default;
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for min
+ *
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for squared difference
+ *
+ * @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/F16/F32.
+ * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
+ */
+class ClElementwiseSquaredDiff : public IClOperator
+{
+public:
+ /** Default Constructor */
+ ClElementwiseSquaredDiff() = default;
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[out] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for squared difference
+ *
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: same as @p src1.
+ * @param[in] dst Destination tensor info. Data types supported: same as @p src1.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+
+/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for power
+ *
+ * @note The tensor data type for the inputs must be F16/F32.
+ * @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
+ */
+class ClElementwisePower : public IClOperator
+{
+public:
+ /** Default Constructor */
+ ClElementwisePower() = default;
+ /** Configure function for a given list of arguments.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] src1 First source tensor info. Data types supported: F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: F16/F32.
+ * @param[out] dst Destination tensor info. Data types supported:F16/F32.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for power
+ *
+ * @param[in] src1 First source tensor info. Data types supported: F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: F16/F32.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H */
projects / platform / upstream / armcl.git / commitdiff