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>

1 files changed, 84 insertions, 0 deletions

diff --git a/src/cpu/operators/CpuAddMulAdd.h b/src/cpu/operators/CpuAddMulAdd.h
new file mode 100644
index 0000000000..cf1ece68f1
--- /dev/null
+++ b/src/cpu/operators/CpuAddMulAdd.h
@@ -0,0 +1,84 @@
+/*
+ * 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_OPERATORS_CPUADDMULADD
+#define SRC_CPU_OPERATORS_CPUADDMULADD
+
+#include "arm_compute/core/TensorInfo.h"
+
+#include "src/cpu/ICpuOperator.h"
+#include "src/cpu/operators/CpuDequantize.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+/** Basic function to run @ref kernels::CpuAddMulAddKernel */
+class CpuAddMulAdd : public ICpuOperator
+{
+public:
+    /** Initialize the operator's inputs and outputs.
+     *
+     * Similar to @ref NEAddMulAdd::configure()
+     *
+     */
+    void configure(const ITensorInfo *input1, const ITensorInfo *input2,
+                   const ITensorInfo *bn_mul, const ITensorInfo *bn_add,
+                   ITensorInfo *add_output, ITensorInfo *final_output,
+                   ConvertPolicy policy, const ActivationLayerInfo &act_info);
+    /** Static function to check if given info will lead to a valid configuration
+     *
+     * Similar to @ref CpuAddMulAdd::configure()
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input1, const ITensorInfo *input2,
+                           const ITensorInfo *bn_mul, const ITensorInfo *bn_add,
+                           const ITensorInfo *add_output, const ITensorInfo *final_output,
+                           ConvertPolicy policy, const ActivationLayerInfo &act_info);
+
+    // Inherited methods overridden:
+    void run(ITensorPack &tensors) override;
+
+    // We need auxilary memory to dequantize batchnorm coefficients
+    experimental::MemoryRequirements workspace() const override;
+
+private:
+    enum AuxTensorIdx
+    {
+        DequantizedBnMul = 0,
+        DequantizedBnAdd,
+        Count
+    };
+
+    CpuDequantize _dequantize_bn_mul{};
+    CpuDequantize _dequantize_bn_add{};
+
+    TensorInfo _dequantized_bn_mul{};
+    TensorInfo _dequantized_bn_add{};
+
+    experimental::MemoryRequirements _aux_mem{ Count };
+};
+} // namespace cpu
+} // namespace arm_compute
+#endif /* SRC_CPU_OPERATORS_CPUADDMULADD */