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200 lines
4.9 KiB
200 lines
4.9 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include <string>
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#include "paddle/fluid/operators/math/jit_gen.h"
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namespace paddle {
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namespace operators {
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namespace math {
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namespace jitkernel {
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namespace gen {
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using reg64_t = const Xbyak::Reg64;
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using reg32_t = const Xbyak::Reg32;
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using xmm_t = const Xbyak::Xmm;
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using ymm_t = const Xbyak::Ymm;
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using zmm_t = const Xbyak::Zmm;
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using Label = Xbyak::Label;
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typedef enum {
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mul = 0,
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add,
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sub,
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relu,
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exp,
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sigmoid,
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tanh,
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identity
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} operand_type;
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// function: vec = Operand(vec(or scalar), vec(or scalar)) (maybe with relu)
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class VXXJitCode : public JitCode {
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public:
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const char* name() const override {
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std::string base = "VXXJitCode";
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if (scalar_index_ == 1) {
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base += "_Scalar";
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} else {
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base += "_Vec";
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}
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if (type_ == operand_type::mul) {
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base += "_Mul";
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} else if (type_ == operand_type::add) {
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base += "_Add";
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}
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if (scalar_index_ == 2) {
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base += "_Scalar";
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} else {
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base += "_Vec";
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}
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base += (with_relu_ ? "_Relu" : "");
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return base.c_str();
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}
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explicit VXXJitCode(int d, operand_type type, int scalar_index,
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bool with_relu, size_t code_size = 256 * 1024,
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void* code_ptr = nullptr)
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: JitCode(code_size, code_ptr),
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num_(d),
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type_(type),
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scalar_index_(scalar_index),
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with_relu_(with_relu) {}
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static bool init(int d, int scalar_index = 0);
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void generate() override;
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private:
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int num_;
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operand_type type_;
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int scalar_index_;
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bool with_relu_;
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reg64_t param1{abi_param1};
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reg64_t param2{abi_param2};
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reg64_t param3{abi_param3};
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xmm_t xmm_src1 = xmm_t(0);
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xmm_t xmm_src2 = xmm_t(1);
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xmm_t xmm_dst = xmm_t(2);
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xmm_t xmm_zero = xmm_t(3);
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ymm_t ymm_src1 = ymm_t(0);
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ymm_t ymm_src2 = ymm_t(1);
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ymm_t ymm_dst = ymm_t(2);
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ymm_t ymm_zero = ymm_t(3);
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};
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class VActJitCode : public JitCode {
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public:
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const char* name() const override {
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std::string base = "VActJitCode";
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switch (type_) {
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case operand_type::relu:
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base += "_Relu";
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break;
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case operand_type::exp:
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base += "_Exp";
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break;
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case operand_type::sigmoid:
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base += "_Sigmoid";
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break;
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case operand_type::tanh:
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base += "_Tanh";
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break;
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case operand_type::identity:
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base += "_Identity";
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break;
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default:
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break;
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}
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return base.c_str();
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}
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explicit VActJitCode(int d, operand_type type, size_t code_size = 256 * 1024,
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void* code_ptr = nullptr)
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: JitCode(code_size, code_ptr), num_(d), type_(type) {}
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static bool init(int d, operand_type type);
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void generate() override;
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protected:
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// compute relu with ymm
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void relu_ymm(const Xbyak::Ymm& dst, const Xbyak::Ymm& src,
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const Xbyak::Ymm& zero);
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// compute exp with ymm
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void exp_ymm(const Xbyak::Ymm& dst, const Xbyak::Ymm& src, int fx_idx = 2,
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int fy_idx = 3, int mask_idx = 4, int tmp_idx = 5);
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// compute sigmoid with ymm
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void sigmoid_ymm(const Xbyak::Ymm& dst, const Xbyak::Ymm& src, int fx_idx = 2,
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int fy_idx = 3, int mask_idx = 4, int tmp_idx = 5);
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// compute tanh with ymm
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void tanh_ymm(const Xbyak::Ymm& dst, const Xbyak::Ymm& src, int fx_idx = 2,
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int fy_idx = 3, int mask_idx = 4, int tmp_idx = 5);
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protected:
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int num_;
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operand_type type_;
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reg64_t param1{abi_param1};
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reg64_t param2{abi_param2};
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xmm_t xmm_src = xmm_t(0);
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ymm_t ymm_src = ymm_t(0);
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xmm_t xmm_dst = xmm_t(1);
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ymm_t ymm_dst = ymm_t(1);
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};
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#ifdef PADDLE_WITH_MKLDNN
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struct EltwiseMulnChw16cNC : public Xbyak::CodeGenerator {
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explicit EltwiseMulnChw16cNC(size_t code_size = 256 * 1024)
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: Xbyak::CodeGenerator(code_size) {
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// RDI is ptr x_input
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// RSI is ptr y_input
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// RDX is ptr output
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// RCX is height
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// r8 is width
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push(rbx);
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xor_(rax, rax);
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xor_(r10, r10);
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vmovups(zmm3, ptr[rsi]);
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L("h_loop");
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xor_(rbx, rbx);
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L("w_loop");
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vmovups(zmm2, ptr[rdi + rax]);
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vmulps(zmm1, zmm2, zmm3);
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vmovups(ptr[rdx + rax], zmm1);
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add(rax, 64);
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inc(rbx);
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cmp(r8, rbx);
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jnz("w_loop");
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inc(r10);
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cmp(r10, rcx);
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jnz("h_loop");
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pop(rbx);
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ret();
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}
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};
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#endif
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} // namespace gen
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} // namespace jitkernel
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} // namespace math
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} // namespace operators
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} // namespace paddle
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