Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

Adjusting tolerance level and removing fixed seed for tests: test_ifft, test_fft #12010

Merged
merged 3 commits into from
Aug 7, 2018
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
20 changes: 10 additions & 10 deletions tests/python/gpu/test_operator_gpu.py
Original file line number Diff line number Diff line change
Expand Up @@ -127,15 +127,15 @@ def check_ifft(shape):
init_complex.real[:,i] = init[0][:,2*i]
init_complex.imag[:,i] = init[0][:,2*i+1]
a = np.fft.ifft(init_complex, n=None, axis=-1, norm=None)
assert_almost_equal(a.real, out1[0]/shape_old[1],rtol=1e-3, atol=1e-12)
assert_almost_equal(a.real, out1[0]/shape_old[1],rtol=1e-3, atol=1e-5)

if len(shape) == 4:
init_complex = np.zeros(shape_old,dtype = np.complex64)
for i in range(0,shape_old[3]):
init_complex.real[:,:,:,i] = init[0][:,:,:,2*i]
init_complex.imag[:,:,:,i] = init[0][:,:,:,2*i+1]
a = np.fft.ifft(init_complex, n=None, axis=-1, norm=None)
assert_almost_equal(a.real, out1[0]/shape_old[3],rtol=1e-3, atol=1e-12)
assert_almost_equal(a.real, out1[0]/shape_old[3],rtol=1e-3, atol=1e-5)
# backward
if len(shape) == 2:
out_grad = mx.nd.empty(shape_old)
Expand All @@ -148,7 +148,7 @@ def check_ifft(shape):
temp[:,i] = exe.grad_arrays[0].asnumpy()[:,2*i]

a = np.fft.fft(out_grad.asnumpy(), n=None, axis=-1, norm=None)
assert_almost_equal(a.real, temp, rtol=1e-3, atol=1e-12)
assert_almost_equal(a.real, temp, rtol=1e-3, atol=1e-5)
if len(shape) == 4:
out_grad = mx.nd.empty(shape_old)
out_grad[:] = np.random.normal(-3, 3, shape_old)
Expand All @@ -160,9 +160,9 @@ def check_ifft(shape):
temp[:,:,:,i] = exe.grad_arrays[0].asnumpy()[:,:,:,2*i]

a = np.fft.fft(out_grad.asnumpy(), n=None, axis=-1, norm=None)
assert_almost_equal(a.real, temp, rtol=1e-3, atol=1e-12)
assert_almost_equal(a.real, temp, rtol=1e-3, atol=1e-5)

@with_seed(0)
@with_seed()
def test_ifft():
nrepeat = 2
maxdim = 10
Expand Down Expand Up @@ -194,7 +194,7 @@ def check_fft(shape):
for exe in exe_list:
for arr, iarr in zip(exe.arg_arrays, init):
arr[:] = iarr.astype(arr.dtype)
#forward
# forward
for exe in exe_list:
exe.forward(is_train=True)
out1 = [exe.outputs[0].asnumpy() for exe in exe_list]
Expand All @@ -221,7 +221,7 @@ def check_fft(shape):
a[i,j,:,p+1] = out2[i,j+out1[0].shape[1],:,k]
p = p+2

assert_almost_equal(a, out1[0],rtol=1e-3, atol=1e-6)
assert_almost_equal(a, out1[0],rtol=1e-3, atol=1e-5)

# backward
if len(shape) == 2:
Expand All @@ -235,7 +235,7 @@ def check_fft(shape):
for exe in exe_list:
exe.backward([out_grad])
a = np.fft.ifft(out_grad_complex, n=None, axis=-1, norm=None)
assert_almost_equal(a.real, exe.grad_arrays[0].asnumpy()/shape[1],rtol=1e-3, atol=1e-8)
assert_almost_equal(a.real, exe.grad_arrays[0].asnumpy()/shape[1],rtol=1e-3, atol=1e-5)

if len(shape) == 4:
out_grad = mx.nd.empty(out1[0].shape)
Expand All @@ -248,9 +248,9 @@ def check_fft(shape):
for exe in exe_list:
exe.backward([out_grad])
a = np.fft.ifft(out_grad_complex, n=None, axis=-1, norm=None)
assert_almost_equal(a.real, exe.grad_arrays[0].asnumpy()/shape[3],rtol=1e-3, atol=1e-6)
assert_almost_equal(a.real, exe.grad_arrays[0].asnumpy()/shape[3],rtol=1e-3, atol=1e-5)

@with_seed(0)
@with_seed()
def test_fft():
nrepeat = 2
maxdim = 10
Expand Down