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+/*
+ * 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.
+ */
+#pragma once
+
+#include <cstring>
+#include <memory>
+
+#include "arm_gemm_local.hpp"
+#include "gemm_common.hpp"
+
+namespace arm_gemm
+{
+enum class GemmMethod
+{
+ DEFAULT,
+ GEMV_BATCHED,
+ GEMV_PRETRANSPOSED,
+ GEMV_NATIVE_TRANSPOSED,
+ GEMM_NATIVE,
+ GEMM_HYBRID,
+ GEMM_INTERLEAVED,
+ GEMM_INTERLEAVED_2D,
+ QUANTIZE_WRAPPER,
+ QUANTIZE_WRAPPER_2D,
+ GEMM_HYBRID_QUANTIZED,
+ INDIRECT_GEMM,
+ CONVOLUTION_GEMM
+};
+
+struct KernelDescription
+{
+ GemmMethod method = GemmMethod::DEFAULT;
+ std::string name = "";
+ bool is_default = false;
+ uint64_t cycle_estimate = 0;
+
+ KernelDescription(GemmMethod m, std::string n, bool d = false, uint64_t c = 0)
+ : method(m), name(n), is_default(d), cycle_estimate(c)
+ {
+ }
+ KernelDescription() noexcept
+ {
+ }
+};
+
+struct GemmConfig
+{
+ GemmMethod method = GemmMethod::DEFAULT;
+ std::string filter = "";
+ unsigned int inner_block_size = 0;
+ unsigned int outer_block_size = 0;
+
+ GemmConfig(GemmMethod method)
+ : method(method)
+ {
+ }
+ GemmConfig()
+ {
+ }
+};
+
+struct Activation
+{
+ enum class Type
+ {
+ None,
+ ReLU,
+ BoundedReLU
+ };
+
+ Type type;
+ float param1;
+ float param2;
+
+ Activation(Type type = Type::None, float p1 = 0.0f, float p2 = 0.0f)
+ : type(type), param1(p1), param2(p2)
+ {
+ }
+};
+
+struct GemmArgs
+{
+public:
+ const CPUInfo *_ci;
+ unsigned int _Msize;
+ unsigned int _Nsize;
+ unsigned int _Ksize;
+ unsigned int _Ksections;
+ unsigned int _nbatches;
+ unsigned int _nmulti;
+ bool _indirect_input;
+ Activation _act;
+ int _maxthreads;
+ const GemmConfig *_cfg;
+
+ GemmArgs(const CPUInfo *ci, unsigned int M, unsigned int N,
+ unsigned int K, unsigned int Ksections, unsigned int nbatches,
+ unsigned int nmulti, bool indirect_input, Activation act, const int maxthreads,
+ const GemmConfig *cfg = nullptr)
+ : _ci(ci), _Msize(M), _Nsize(N), _Ksize(K), _Ksections(Ksections), _nbatches(nbatches), _nmulti(nmulti), _indirect_input(indirect_input), _act(act), _maxthreads(maxthreads), _cfg(cfg)
+ {
+ }
+};
+
+struct Requantize32
+{
+public:
+ const int32_t *bias = nullptr;
+ size_t bias_multi_stride = 0;
+ int32_t a_offset = 0;
+ int32_t b_offset = 0;
+ int32_t c_offset = 0;
+ bool per_channel_requant = false;
+ int32_t per_layer_left_shift = 0;
+ int32_t per_layer_right_shift = 0;
+ int32_t per_layer_mul = 0;
+ const int32_t *per_channel_left_shifts = nullptr;
+ const int32_t *per_channel_right_shifts = nullptr;
+ const int32_t *per_channel_muls = nullptr;
+ int32_t minval = 0;
+ int32_t maxval = 0;
+
+ Requantize32() = default;
+
+ // Constructor for per-tensor quantization
+ Requantize32(const int32_t *bias, size_t bias_multi_stride,
+ int32_t a_offset, int32_t b_offset, int32_t c_offset,
+ int32_t requant_shift, int32_t requant_mul, int32_t minv, int32_t maxv)
+ : bias(bias), bias_multi_stride(bias_multi_stride), a_offset(a_offset), b_offset(b_offset), c_offset(c_offset), per_channel_requant(false), per_layer_left_shift(std::max<int32_t>(requant_shift, 0)),
+ per_layer_right_shift(std::min<int32_t>(requant_shift, 0)), per_layer_mul(requant_mul), minval(minv), maxval(maxv)
+ {
+ }
+
+ // Constructor for per-channel quantization
+ Requantize32(const int32_t *bias, size_t bias_multi_stride,
+ int32_t a_offset, int32_t b_offset, int32_t c_offset,
+ const int32_t *requant_left_shifts,
+ const int32_t *requant_right_shifts,
+ const int32_t *requant_muls,
+ int32_t minv, int32_t maxv)
+ : bias(bias), bias_multi_stride(bias_multi_stride), a_offset(a_offset), b_offset(b_offset), c_offset(c_offset), per_channel_requant(true), per_channel_left_shifts(requant_left_shifts),
+ per_channel_right_shifts(requant_right_shifts), per_channel_muls(requant_muls), minval(minv), maxval(maxv)
+ {
+ }
+};
+
+struct Nothing
+{
+};
+
+template <typename Top, typename Tret>
+using UniqueGemmCommon = std::unique_ptr<GemmCommon<Top, Tret>>;
+
+/* Low level API calls.
+ * These are implemented as 'GemmArgs' versions, or with the arguments explicitly listed. */
+
+/* get_gemm_method(): Given the templated types and provided parameters,
+ * which is the preferred method to implement this GEMM? */
+template <typename Top, typename Tret, class OutputStage = Nothing>
+KernelDescription get_gemm_method(const GemmArgs &args, const OutputStage & = {});
+
+template <typename Top, typename Tret, class OutputStage = Nothing>
+UniqueGemmCommon<Top, Tret> gemm(const GemmArgs &args, const OutputStage & = {});
+
+template <typename Top, typename Tret, class OutputStage = Nothing>
+std::vector<KernelDescription> get_compatible_kernels(const GemmArgs &args, const OutputStage & = {});
+
+} // namespace arm_gemm