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name: test | ||
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on: push | ||
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env: | ||
BUILD_TYPE: Debug | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
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- name: Setup Fortran | ||
uses: awvwgk/setup-fortran@main | ||
id: setup-fortran | ||
with: | ||
compiler: gcc | ||
version: 11 | ||
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- name: Setup Python | ||
uses: actions/setup-python@v3 | ||
with: | ||
python-version: 3.10 | ||
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- name: Install dependencies | ||
run: | | ||
sudo apt-get install valgrind | ||
python -m pip install --upgrade pip | ||
python -m pip install jax | ||
- name: configure cmake | ||
run: cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}} | ||
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- name: build | ||
run: cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}} | ||
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- name: test | ||
working-directory: ${{github.workspace}}/build | ||
run: | | ||
./tests/test_forwarddiff | ||
valgrind --error-exitcode=1 --leak-check=full ./tests/test_forwarddiff | ||
python ../tests/test_jax.py |
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build | ||
build | ||
.DS_Store |
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add_library(forwarddif | ||
forwarddif_const.f90 | ||
forwarddif_dual.f90 | ||
forwarddif_derivative.f90 | ||
forwarddif.f90 | ||
add_library(forwarddiff | ||
forwarddiff_const.f90 | ||
forwarddiff_dual.f90 | ||
forwarddiff_derivative.f90 | ||
forwarddiff.f90 | ||
) | ||
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# add_executable(test_forwarddif test_forwarddif.f90) | ||
# target_link_libraries(test_forwarddif forwarddif) | ||
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# add_library(dnad dnad.F90) | ||
# add_executable(test_forwarddif test_forwarddif.f90) | ||
# target_link_libraries(test_forwarddif dnad) |
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module forwarddiff | ||
use forwarddiff_const | ||
use forwarddiff_dual | ||
use forwarddiff_derivative | ||
implicit none | ||
public | ||
end module |
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module forwarddif_const | ||
module forwarddiff_const | ||
use iso_fortran_env, only: wp => real32 | ||
end module |
6 changes: 3 additions & 3 deletions
6
src/forwarddif_derivative.f90 → src/forwarddiff_derivative.f90
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add_executable(test_forwarddif test_forwarddif.f90) | ||
target_link_libraries(test_forwarddif forwarddif) | ||
target_include_directories(test_forwarddif PUBLIC ${CMAKE_Fortran_MODULE_DIRECTORY}) | ||
add_executable(test_forwarddiff test_forwarddiff.f90) | ||
target_link_libraries(test_forwarddiff forwarddiff) | ||
target_include_directories(test_forwarddiff PUBLIC ${CMAKE_Fortran_MODULE_DIRECTORY}) |
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import jax | ||
from jax import numpy as np | ||
from scipy.io import FortranFile | ||
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def func_operators(x): | ||
res = x + x + 3.0 + x | ||
res = res - x - 3.0 - x | ||
res = res*x + 2.0*x + x*-5.0 | ||
res = res/x + 2.0/x + x/5.0 | ||
res = res**x + res**1.5 | ||
return res | ||
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def func_intrinsics1(x): | ||
res = np.abs(x) | ||
res = res + np.cos(x) | ||
res = res + np.exp(x) | ||
res = res + np.log(x) | ||
res = res + np.log10(x) | ||
res = res + np.sin(x) | ||
res = res + np.tan(x) | ||
res = res + np.sqrt(x) | ||
return res | ||
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def func_intrinsics2(x): | ||
res = np.arccos(x) | ||
res = res + np.arcsin(x) | ||
res = res + np.arctan(x) | ||
res = np.maximum(res, x) | ||
res = np.maximum(res, 1.0) | ||
res = np.maximum(1.0, res) | ||
res = np.minimum(res, res) | ||
res = np.minimum(res, 2.0) | ||
res = np.minimum(2.0, res) | ||
return res | ||
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def func_grad1(x): | ||
res = x[0]*x[0]*x[1] + x[0] + x[1] | ||
return res | ||
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def func_grad2(x): | ||
res = np.sum(x*3.14) | ||
return res | ||
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def test(): | ||
fil = FortranFile('test.dat','r') | ||
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x = np.array(10.0,dtype=np.float32) | ||
f = func_operators(x) | ||
dfdx = jax.grad(func_operators)(x) | ||
f1, dfdx1 = fil.read_record(np.float32) | ||
print(f/f1,dfdx/dfdx1) | ||
assert np.isclose(f,f1) and np.isclose(dfdx,dfdx1) | ||
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x = np.array(10.0,dtype=np.float32) | ||
f = func_intrinsics1(x) | ||
dfdx = jax.grad(func_intrinsics1)(x) | ||
f1, dfdx1 = fil.read_record(np.float32) | ||
print(f/f1,dfdx/dfdx1) | ||
assert np.isclose(f,f1) and np.isclose(dfdx,dfdx1) | ||
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x = np.array(0.1,dtype=np.float32) | ||
f = func_intrinsics2(x) | ||
dfdx = jax.grad(func_intrinsics2)(x) | ||
f1, dfdx1 = fil.read_record(np.float32) | ||
print(f/f1,dfdx/dfdx1) | ||
assert np.isclose(f,f1) and np.isclose(dfdx,dfdx1) | ||
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x = np.array([1, 2],dtype=np.float32) | ||
f = func_grad1(x) | ||
dfdx = jax.grad(func_grad1)(x) | ||
tmp = fil.read_record(np.float32) | ||
f1, dfdx1 = tmp[0],tmp[1:] | ||
print(f/f1,dfdx/dfdx1) | ||
assert np.isclose(f,f1) and np.all(np.isclose(dfdx,dfdx1)) | ||
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x = np.array([3, 4],dtype=np.float32) | ||
f = func_grad2(x) | ||
dfdx = jax.grad(func_grad2)(x) | ||
tmp = fil.read_record(np.float32) | ||
f1, dfdx1 = tmp[0],tmp[1:] | ||
print(f/f1,dfdx/dfdx1) | ||
assert np.isclose(f,f1) and np.all(np.isclose(dfdx,dfdx1)) | ||
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fil.close() | ||
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if __name__ == "__main__": | ||
test() |