tensor-tang
7 years ago
committed by
GitHub
commit
61fdc38e51
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/* 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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#include "paddle/fluid/operators/math/jit_code.h"
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#include "paddle/fluid/operators/math/jit_kernel.h"
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#include "paddle/fluid/platform/cpu_info.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 namespace platform::jit; // NOLINT
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bool VMulJitCode::init(int d) {
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// TODO(TJ): maybe one AVX is enough, AVX above would slow down freq
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// try more with avx2 or avx512
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if (MayIUse(avx) || MayIUse(avx2)) {
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return d % AVX_FLOAT_BLOCK == 0;
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} else {
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return false;
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}
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}
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void VMulJitCode::generate() {
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// do not need push stack, and do not need save avx512reg if do not use avx512
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int stride = sizeof(float) * AVX_FLOAT_BLOCK;
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for (int i = 0; i < num_ / AVX_FLOAT_BLOCK; ++i) {
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vmovups(ymm_src1, ptr[param1 + i * stride]);
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vmovups(ymm_src2, ptr[param2 + i * stride]);
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vmulps(ymm_dst, ymm_src1, ymm_src2);
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vmovups(ptr[param3 + stride * i], ymm_dst);
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}
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ret();
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}
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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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/* 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 "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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class VMulJitCode : public JitCode {
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public:
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DECLARE_JIT_CODE(VMulJitCode);
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explicit VMulJitCode(int d, 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) {}
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static bool init(int d);
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void generate() override;
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private:
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int num_;
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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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ymm_t ymm_src1 = ymm_t(0);
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zmm_t zmm_src1 = zmm_t(0);
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xmm_t xmm_src2 = xmm_t(1);
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ymm_t ymm_src2 = ymm_t(1);
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zmm_t zmm_src2 = zmm_t(1);
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xmm_t xmm_dst = xmm_t(2);
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ymm_t ymm_dst = ymm_t(2);
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zmm_t zmm_dst = zmm_t(2);
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};
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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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/* 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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#include "paddle/fluid/operators/math/jit_gen.h"
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#include <fstream>
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#include <iostream>
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#include <sstream>
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#include "paddle/fluid/platform/cpu_info.h"
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DEFINE_bool(dump_jitcode, false, "Whether to dump the jitcode to file");
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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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constexpr Xbyak::Operand::Code g_abi_regs[] = {
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Xbyak::Operand::RBX, Xbyak::Operand::RBP, Xbyak::Operand::R12,
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Xbyak::Operand::R13, Xbyak::Operand::R14, Xbyak::Operand::R15};
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constexpr int num_g_abi_regs = sizeof(g_abi_regs) / sizeof(g_abi_regs[0]);
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void JitCode::preCode() {
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for (int i = 0; i < num_g_abi_regs; ++i) {
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push(Xbyak::Reg64(g_abi_regs[i]));
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}
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if (platform::jit::MayIUse(platform::jit::avx512f)) {
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mov(reg_EVEX_max_8b_offt, 2 * EVEX_max_8b_offt);
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}
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}
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void JitCode::postCode() {
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for (int i = 0; i < num_g_abi_regs; ++i) {
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pop(Xbyak::Reg64(g_abi_regs[num_g_abi_regs - 1 - i]));
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}
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ret();
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}
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void JitCode::dumpCode(const Xbyak::uint8 *code) const {
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if (code) {
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static int counter = 0;
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std::ostringstream filename;
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filename << "paddle_jitcode_" << name() << "." << counter << ".bin";
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counter++;
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std::ofstream fout(filename.str(), std::ios::out);
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if (fout.is_open()) {
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fout.write(reinterpret_cast<const char *>(code), getSize());
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fout.close();
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}
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}
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}
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Xbyak::Address JitCode::EVEX_compress_addr(Xbyak::Reg64 base, int offt,
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bool bcast) {
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int scale = 0;
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if (EVEX_max_8b_offt <= offt && offt < 3 * EVEX_max_8b_offt) {
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offt = offt - 2 * EVEX_max_8b_offt;
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scale = 1;
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} else if (3 * EVEX_max_8b_offt <= offt && offt < 5 * EVEX_max_8b_offt) {
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offt = offt - 4 * EVEX_max_8b_offt;
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scale = 2;
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}
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auto re = Xbyak::RegExp() + base + offt;
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if (scale) {
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re = re + reg_EVEX_max_8b_offt * scale;
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}
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if (bcast) {
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return zword_b[re];
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} else {
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return zword[re];
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}
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}
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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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@ -0,0 +1,80 @@
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/* 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 <gflags/gflags.h>
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#include <type_traits>
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#include "paddle/fluid/platform/macros.h"
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#define XBYAK_USE_MMAP_ALLOCATOR
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#include "xbyak/xbyak.h"
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#include "xbyak/xbyak_util.h"
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DECLARE_bool(dump_jitcode);
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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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#define DECLARE_JIT_CODE(codename) \
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const char *name() const override { return #codename; }
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// Application Binary Interface
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constexpr Xbyak::Operand::Code abi_param1(Xbyak::Operand::RDI),
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abi_param2(Xbyak::Operand::RSI), abi_param3(Xbyak::Operand::RDX),
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abi_param4(Xbyak::Operand::RCX), abi_not_param1(Xbyak::Operand::RCX);
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class JitCode : public Xbyak::CodeGenerator {
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public:
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explicit JitCode(size_t code_size = 256 * 1024, void *code_ptr = nullptr)
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: Xbyak::CodeGenerator(code_size, code_ptr) {}
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virtual ~JitCode() {}
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virtual const char *name() const = 0;
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virtual void generate() = 0;
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template <typename FUNC>
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const FUNC getCode() {
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this->generate();
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const Xbyak::uint8 *code = CodeGenerator::getCode();
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if (FLAGS_dump_jitcode) {
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this->dumpCode(code);
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}
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return reinterpret_cast<const FUNC>(code);
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}
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DISABLE_COPY_AND_ASSIGN(JitCode);
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protected:
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Xbyak::Reg64 param1{abi_param1};
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const int EVEX_max_8b_offt = 0x200;
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const Xbyak::Reg64 reg_EVEX_max_8b_offt = rbp;
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void preCode();
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void postCode();
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void dumpCode(const Xbyak::uint8 *code) const;
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void L(const char *label) { Xbyak::CodeGenerator::L(label); }
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void L(const Xbyak::Label &label) { Xbyak::CodeGenerator::L(label); }
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// Enhanced vector extension
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Xbyak::Address EVEX_compress_addr(Xbyak::Reg64 base, int offt,
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bool bcast = false);
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};
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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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