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authorGunes Bayir <gunes.bayir@arm.com>2023-01-29 13:24:24 +0000
committerGunes Bayir <gunes.bayir@arm.com>2023-02-01 09:59:30 +0000
commitae72a46e495742863dba44fcf5fdc673c9d2afbc (patch)
tree65bab43d0feddaa66b160ac7dc746651dc7c48de /src/cpu/kernels/addmuladd/list.h
parentec320d9fc418e2d95a3a38ce87233397535f467d (diff)
downloadComputeLibrary-ae72a46e495742863dba44fcf5fdc673c9d2afbc.tar.gz
Add new operator AddMulAdd for Neon™ backend for Float/Quantized types
This is a fused operator that merges Add + Mul + Add [+ Relu-based-Activation] layers and have an intermediate output after the first Add. It's supported for FP16/32/QASYMM8/QASYMM8_SIGNED data types. The subsequent Add and Mul are intended for scaling and the coefficients only have one dimension (per channel). The inputs are - input1 : nD tensor [X, Y, Z, W, ..] - input2 : nD tensor [X, Y, Z, W, ..] - add_coef : 1D tensor [X] - mul_coef : 1D tensor [X] The outputs are - out1 : nD tensor (intermediate output) [X, Y, Z, W, ..] - out2 : nD tensor (final output) [X, Y, Z, W, ..] The operation can be summarized as follows: out1 <- input1 + input2 out2 <- Act(out1 * mul_coef + add_coef) The activation function can be Identity, Relu, Bounded Relu or Lower/Upper Bounded Relu. The intermediate output can be skipped by providing a nullptr. The reason of providing this operator is to be able to fuse in case of Residual network patterns and save computations by reducing memory back and forward. Resolves: COMPMID-5463 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8ef577aa623b036e9a9f655cc088493fd19a6109 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9055 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
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+/*
+ * Copyright (c) 2023 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 SRC_CPU_KERNELS_ADDMULADD_LIST
+#define SRC_CPU_KERNELS_ADDMULADD_LIST
+
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Window.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+#define DECLARE_ADD_MUL_ADD_KERNEL(func_name) \
+ void func_name(const ITensor *input1, const ITensor *input2, const ITensor *bn_mul, const ITensor *bn_add, \
+ ITensor *add_output, ITensor *final_output, ConvertPolicy policy, const ActivationLayerInfo &act_info, const Window &window)
+
+DECLARE_ADD_MUL_ADD_KERNEL(add_mul_add_fp32_neon);
+DECLARE_ADD_MUL_ADD_KERNEL(add_mul_add_fp16_neon);
+DECLARE_ADD_MUL_ADD_KERNEL(add_mul_add_u8_neon);
+DECLARE_ADD_MUL_ADD_KERNEL(add_mul_add_s8_neon);
+
+#undef DECLARE_ADD_MUL_ADD_KERNEL
+
+} // namespace cpu
+} // namespace arm_compute
+#endif /* SRC_CPU_KERNELS_ADDMULADD_LIST */