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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 |
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--- 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: |
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// 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; |
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#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> | |
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> | |
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; |
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MatrixExponential | |
accumulator | |
add | |
add_diag | |
append_col | |
append_row | |
assign | |
autocorrelation | |
autocovariance | |
block |
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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 |
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adj_jac_apply - deprecated | |
# Fully converted to var<mat> | |
softmax | |
dot_self | |
columns_dot_self | |
determinant | |
inverse | |
sum | |
multiply |
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