mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-08-13 12:19:12 +08:00
Cleaned up a test
This commit is contained in:
parent
58a6453d48
commit
13aee4463e
@ -184,8 +184,8 @@ static void test_argmax_dim()
|
||||
|
||||
tensor_argmax = tensor.argmax(dim);
|
||||
|
||||
VERIFY_IS_EQUAL(tensor_argmax.dimensions().TotalSize(),
|
||||
size_t(2*3*5*7 / tensor.dimension(dim)));
|
||||
VERIFY_IS_EQUAL(tensor_argmax.size(),
|
||||
ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
|
||||
for (ptrdiff_t n = 0; n < tensor_argmax.size(); ++n) {
|
||||
// Expect max to be in the first index of the reduced dimension
|
||||
VERIFY_IS_EQUAL(tensor_argmax.data()[n], 0);
|
||||
@ -208,7 +208,7 @@ static void test_argmax_dim()
|
||||
|
||||
VERIFY_IS_EQUAL(tensor_argmax.size(),
|
||||
ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
|
||||
for (ptrdiff_t n = 0; n < tensor_argmax.dimensions().TotalSize(); ++n) {
|
||||
for (ptrdiff_t n = 0; n < tensor_argmax.size(); ++n) {
|
||||
// Expect max to be in the last index of the reduced dimension
|
||||
VERIFY_IS_EQUAL(tensor_argmax.data()[n], tensor.dimension(dim) - 1);
|
||||
}
|
||||
@ -242,8 +242,8 @@ static void test_argmin_dim()
|
||||
|
||||
tensor_argmin = tensor.argmin(dim);
|
||||
|
||||
VERIFY_IS_EQUAL(tensor_argmin.dimensions().TotalSize(),
|
||||
size_t(2*3*5*7 / tensor.dimension(dim)));
|
||||
VERIFY_IS_EQUAL(tensor_argmin.size(),
|
||||
ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
|
||||
for (ptrdiff_t n = 0; n < tensor_argmin.size(); ++n) {
|
||||
// Expect min to be in the first index of the reduced dimension
|
||||
VERIFY_IS_EQUAL(tensor_argmin.data()[n], 0);
|
||||
@ -266,7 +266,7 @@ static void test_argmin_dim()
|
||||
|
||||
VERIFY_IS_EQUAL(tensor_argmin.size(),
|
||||
ptrdiff_t(2*3*5*7 / tensor.dimension(dim)));
|
||||
for (ptrdiff_t n = 0; n < tensor_argmin.dimensions().TotalSize(); ++n) {
|
||||
for (ptrdiff_t n = 0; n < tensor_argmin.size(); ++n) {
|
||||
// Expect min to be in the last index of the reduced dimension
|
||||
VERIFY_IS_EQUAL(tensor_argmin.data()[n], tensor.dimension(dim) - 1);
|
||||
}
|
||||
|
Loading…
x
Reference in New Issue
Block a user