bbbales2

from functools import reduce

from sortedcontainers import SortedSet, SortedDict
from typing import List, Callable, TypeVar, Any, Generic, Optional, Tuple, Dict
from collections import namedtuple, defaultdict

import haiku
import jax
import jax.scipy
import numpy.random

bbbales2

--- Translating Stan model to C++ code ---
bin/stanc  --o=lv.hpp lv.stan

--- Compiling, linking C++ code ---
clang++ -std=c++1y -D_REENTRANT -Wno-sign-compare -Wno-ignored-attributes      -I stan/lib/stan_math/lib/tbb_2020.3/include   -O3 -I src -I stan/src -I lib/rapidjson_1.1.0/ -I lib/CLI11-1.9.1/ -I stan/lib/stan_math/ -I stan/lib/stan_math/lib/eigen_3.3.9 -I stan/lib/stan_math/lib/boost_1.75.0 -I stan/lib/stan_math/lib/sundials_5.7.0/include    -DBOOST_DISABLE_ASSERTS         -c -include-pch stan/src/stan/model/model_header.hpp.gch -x c++ -o lv.o lv.hpp
In file included from lv.hpp:1:
In file included from stan/src/stan/model/model_header.hpp:4:
In file included from /home/bbales2/tmp/cmdstan-ode-adjoint-v3/stan/lib/stan_math/stan/math.hpp:19:
In file included from /home/bbales2/tmp/cmdstan-ode-adjoint-v3/stan/lib/stan_math/stan/math/rev.hpp:11:
In file included from /home/bbales2/tmp/cmdstan-ode-adjoint-v3/stan/lib/stan_math/stan/math/rev/functor.hpp:20:

bbbales2

// Code generated by stanc 4f8f010
#include <stan/model/model_header.hpp>
namespace constrain_model_namespace {


inline void validate_positive_index(const char* var_name, const char* expr,
                                    int val) {
  if (val < 1) {
    std::stringstream msg;

bbbales2

#include <benchmark/benchmark.h>
#include <stan/math.hpp>
#include <utility>

static void toss_me(benchmark::State& state) {
  using stan::math::var;
  Eigen::Matrix<double, -1, -1> x_vals = Eigen::MatrixXd::Random(256, 256);
  Eigen::Matrix<double, -1, -1> y_vals = Eigen::MatrixXd::Random(256, 256);
  using stan::math::var;
  using stan::math::sum;

bbbales2

#include <benchmark/benchmark.h>
#include <stan/math.hpp>
#include <utility>

static void toss_me(benchmark::State& state) {
  using stan::math::var;
  Eigen::Matrix<double, -1, -1> x_vals = Eigen::MatrixXd::Random(256, 256);
  Eigen::Matrix<double, -1, -1> y_vals = Eigen::MatrixXd::Random(256, 256);
  using stan::math::var;
  using stan::math::sum;

bbbales2

#include <benchmark/benchmark.h>
#include <stan/math.hpp>
#include <utility>

static void toss_me(benchmark::State& state) {
  using stan::math::var;
  Eigen::Matrix<double, -1, -1> x_vals = Eigen::MatrixXd::Random(256, 256);
  Eigen::Matrix<double, -1, -1> y_vals = Eigen::MatrixXd::Random(256, 256);
  using stan::math::var;
  using stan::math::sum;

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#include <benchmark/benchmark.h>
#include <stan/math.hpp>
#include <utility>

// Just to kick off the stack allocation
static void geometric_series(benchmark::State& state) {
  using stan::math::var;
  for (auto _ : state) {
    auto start = std::chrono::high_resolution_clock::now();
    var r = 1.0;

bbbales2

MatrixExponential
accumulator
add
add_diag
append_col
append_row
assign
autocorrelation
autocovariance
block

bbbales2

These are all the files in stan/math/prim/fun that reference apply_scalar_unity:

acosh.hpp
acos.hpp
approx.hpp
asinh.hpp
asin.hpp
atanh.hpp
atan.hpp
cbrt.hpp

bbbales2

adj_jac_apply - deprecated

# Fully converted to var<mat>
softmax
dot_self
columns_dot_self
determinant
inverse
sum
multiply