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authorGeorge Wort <george.wort@arm.com>2018-12-21 16:21:04 +0000
committerGeorge Wort <george.wort@arm.com>2019-01-08 11:06:01 +0000
commit5a97b28d483eefa5810f5cf57356086090c8c894 (patch)
treeb283fc76a02a7eeaadd6b275192c68cba05f4842 /src
parent8529bd68d8a979874b8c53c0e26af411aae058f5 (diff)
downloadComputeLibrary-5a97b28d483eefa5810f5cf57356086090c8c894.tar.gz
COMPMID-1756: NEON: Implement RSqrt, Exp
Change-Id: I6b140b8868b04f7d3032a51831a80829e8e1560e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/165590 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Reviewed-on: https://review.mlplatform.org/470 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src')
-rw-r--r--src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp206
-rw-r--r--src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp54
-rw-r--r--src/runtime/NEON/functions/NEFuseBatchNormalization.cpp6
-rw-r--r--src/runtime/NEON/functions/NEReduceMean.cpp6
4 files changed, 266 insertions, 6 deletions
diff --git a/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp b/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp
new file mode 100644
index 0000000000..7ecc4d1c44
--- /dev/null
+++ b/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp
@@ -0,0 +1,206 @@
+/*
+ * Copyright (c) 2018-2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/NEON/kernels/NEElementwiseUnaryKernel.h"
+
+#include "arm_compute/core/CPP/Validate.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/IAccessWindow.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/NEAsymm.h"
+#include "arm_compute/core/NEON/NEFixedPoint.h"
+#include "arm_compute/core/NEON/wrapper/wrapper.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Validate.h"
+
+#include <algorithm>
+#include <arm_neon.h>
+#include <cstdint>
+#include <map>
+#include <string>
+
+namespace arm_compute
+{
+class Coordinates;
+
+namespace
+{
+template <ElementWiseUnary op, typename ScalarType>
+inline ScalarType elementwise_op_scalar(const ScalarType &a)
+{
+ switch(op)
+ {
+ case ElementWiseUnary::RSQRT:
+ return 1 / sqrt(a);
+ case ElementWiseUnary::EXP:
+ return std::exp(a);
+ default:
+ ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+ }
+}
+
+template <ElementWiseUnary op, typename VectorType>
+inline VectorType elementwise_op(const VectorType &a)
+{
+ switch(op)
+ {
+ case ElementWiseUnary::RSQRT:
+ return wrapper::vinvsqrt(a);
+ case ElementWiseUnary::EXP:
+ return wrapper::vexpq(a);
+ default:
+ ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+ }
+}
+
+template <ElementWiseUnary op, typename ScalarType>
+void elementwise_op(const ITensor *in, ITensor *out, const Window &window)
+{
+ const int window_step_x = 16 / sizeof(ScalarType);
+ const auto window_start_x = static_cast<int>(window.x().start());
+ const auto window_end_x = static_cast<int>(window.x().end());
+
+ Window win = window;
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+ Iterator input(in, win);
+ Iterator output(out, win);
+
+ execute_window_loop(win, [&](const Coordinates & id)
+ {
+ auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr());
+ const auto input_ptr = reinterpret_cast<const ScalarType *>(input.ptr());
+
+ int x = window_start_x;
+ for(; x <= window_end_x - window_step_x; x += window_step_x)
+ {
+ wrapper::vstore(output_ptr + x, elementwise_op<op>(wrapper::vloadq(input_ptr + x)));
+ }
+ for(; x < window_end_x; ++x)
+ {
+ *(output_ptr + x) = elementwise_op_scalar<op>(*(input_ptr + x));
+ }
+ },
+ input, output);
+}
+
+template <ElementWiseUnary op>
+std::function<void(const ITensor *input, ITensor *output, const Window &window)>
+configure_func(const ITensor *input, ITensor *output)
+{
+ std::string function_to_call("op_");
+ function_to_call += string_from_data_type(input->info()->data_type()) + "_";
+ function_to_call += string_from_data_type(output->info()->data_type());
+
+ static std::map<std::string, NEElementwiseUnaryKernel::ElementwiseUnaryFunction *> map_function =
+ {
+ { "op_F32_F32", &elementwise_op<op, float> }
+ };
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+ map_function["op_F16_F16"] = &elementwise_op<op, float16_t>;
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+ auto it = map_function.find(function_to_call);
+
+ if(it != map_function.end())
+ {
+ auto func = it->second;
+ return [func](const ITensor * input, ITensor * output, const Window & window)
+ {
+ func(input, output, window);
+ };
+ }
+ return nullptr;
+}
+} // namespace
+
+NEElementwiseUnaryKernel::NEElementwiseUnaryKernel()
+ : _function(nullptr), _input(nullptr), _output(nullptr)
+{
+}
+
+void NEElementwiseUnaryKernel::configure(ElementWiseUnary op, const ITensor *input, ITensor *output)
+{
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*input->info(), *output->info()));
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+ // Configure kernel window
+ const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(*input->info());
+ const TensorShape &out_shape = broadcast_pair.first;
+ const ValidRegion &valid_region = broadcast_pair.second;
+
+ // Auto initialize output if not initialized
+ auto_init_if_empty(*output->info(), out_shape, 1, input->info()->data_type());
+
+ Window win = calculate_max_window(valid_region);
+
+ _input = input;
+ _output = output;
+
+ INEKernel::configure(win);
+
+ switch(op)
+ {
+ case ElementWiseUnary::RSQRT:
+ _function = configure_func<ElementWiseUnary::RSQRT>(input, output);
+ break;
+ case ElementWiseUnary::EXP:
+ _function = configure_func<ElementWiseUnary::EXP>(input, output);
+ break;
+ default:
+ ARM_COMPUTE_ERROR("NOT_SUPPORTED!");
+ }
+}
+
+Status NEElementwiseUnaryKernel::validate_arguments(const ITensorInfo &input, const ITensorInfo &output)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(&input);
+ 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_MISMATCHING_DATA_TYPES(&input, &output);
+ }
+
+ return Status{};
+}
+
+Status NEElementwiseUnaryKernel::validate(ElementWiseUnary op, const ITensorInfo *input, const ITensorInfo *output)
+{
+ ARM_COMPUTE_UNUSED(op);
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*input, *output));
+ return Status{};
+}
+
+void NEElementwiseUnaryKernel::run(const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_UNUSED(info);
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+ ARM_COMPUTE_ERROR_ON(_function == nullptr);
+ _function(_input, _output, window);
+}
+} // namespace arm_compute
diff --git a/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp b/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp
new file mode 100644
index 0000000000..10142c732f
--- /dev/null
+++ b/src/runtime/NEON/functions/NEElementwiseUnaryLayer.cpp
@@ -0,0 +1,54 @@
+/*
+ * Copyright (c) 2018-2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h"
+
+#include "arm_compute/core/NEON/kernels/NEElementwiseUnaryKernel.h"
+#include "support/ToolchainSupport.h"
+
+#include <utility>
+
+namespace arm_compute
+{
+void NERsqrtLayer::configure(const ITensor *input, ITensor *output)
+{
+ auto k = arm_compute::support::cpp14::make_unique<NEElementwiseUnaryKernel>();
+ k->configure(ElementWiseUnary::RSQRT, input, output);
+ _kernel = std::move(k);
+}
+Status NERsqrtLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return NEElementwiseUnaryKernel::validate(ElementWiseUnary::RSQRT, input, output);
+}
+
+void NEExpLayer::configure(const ITensor *input, ITensor *output)
+{
+ auto k = arm_compute::support::cpp14::make_unique<NEElementwiseUnaryKernel>();
+ k->configure(ElementWiseUnary::EXP, input, output);
+ _kernel = std::move(k);
+}
+Status NEExpLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ return NEElementwiseUnaryKernel::validate(ElementWiseUnary::EXP, input, output);
+}
+} // namespace arm_compute
diff --git a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
index 7f17a15cba..dc48731c4d 100644
--- a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
+++ b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -14,9 +14,9 @@
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INNEUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * 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 NEAIM, DAMAGES OR OTHER
+ * 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.
diff --git a/src/runtime/NEON/functions/NEReduceMean.cpp b/src/runtime/NEON/functions/NEReduceMean.cpp
index 0b022df729..c5229daae3 100644
--- a/src/runtime/NEON/functions/NEReduceMean.cpp
+++ b/src/runtime/NEON/functions/NEReduceMean.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -14,9 +14,9 @@
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INNEUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * 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 NEAIM, DAMAGES OR OTHER
+ * 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.