Is there a way to assert double values of containers in gtest using DoubleNear matcher?
There is also a CombiningMatcher<T> in the codebase but I cannot crack how to use it.
For example I would like to achieve something like that:
std::array<double, 2> expected{1.23, 2.34};
std::array<double, 2> results{1.231, 2.341};
ASSERT_THAT(results, ContainerEq(DoubleNear(expected, 1e-3)));
Where for each container item a DoubleNear is applied.
Another way would be to use PointWise matcher, which would work like:
ASSERT_THAT(results, Pointwise(DoubleNear(1e-3), expected));
Googletest version 1.10 is used.
I don't know if there is a way in gtest 1.10 to directly use container matcher with floating point matcher (though it sounds like a reasonable feature request). For now you can define your own container matcher that takes abs err as an additional argument and internally compares container elements using testing::DoubleNear matcher:
MATCHER_P2(ContainerDoubleNear, container, abs_err, "")
{
if (container.size() != arg.size()) return false;
for (int i = 0; i < container.size(); i++)
{
if (!::testing::ExplainMatchResult(::testing::DoubleNear(arg[i], abs_err), container[i], result_listener))
{
*result_listener << " for element at idx " << i;
return false;
}
}
return true;
}
You can then use it like that:
EXPECT_THAT(expected, ContainerDoubleNear(results, ABS_ERR));
Live demo, diagnostic message might be slightly improved.
Related
Suppose I have a Supply, Channel, IO::Handle, or similar stream-like source of text, and I want to scan it for substrings matching a regex. I can't be sure that matching substrings do not cross chunk boundaries. The total length is potentially infinite and cannot be slurped into memory.
One way this would be possible is if I could instantiate a regex matching engine and feed it chunks of text while it maintains its state. But I don't see any way to do that -- I only see methods to run the match engine to completion.
Is this possible?
After some more searching, I may have answered my own question. Specifically, it seems Seq.comb is capable of combining chunks and lazily processing them:
my $c = supply {
whenever Supply.interval(1.0) -> $v {
my $letter = do if ($v mod 2 == 0) { "a" } else { "b" };
my $chunk = $letter x ($v + 1);
say "Pushing {$chunk}";
emit($chunk);
}
};
my $c2 = $c.comb(/a+b+/);
react {
whenever $c2 -> $v {
say "Got {$v}";
}
}
See also the concurrency features used to construct this example.
It is my first attempt to implement recursion with CUDA. The goal is to extract all the combinations from a set of chars "12345" using the power of CUDA to parallelize dynamically the task. Here is my kernel:
__device__ char route[31] = { "_________________________"};
__device__ char init[6] = { "12345" };
__global__ void Recursive(int depth) {
// up to depth 6
if (depth == 5) return;
// newroute = route - idx
int x = depth * 6;
printf("%s\n", route);
int o = 0;
int newlen = 0;
for (int i = 0; i<6; ++i)
{
if (i != threadIdx.x)
{
route[i+x-o] = init[i];
newlen++;
}
else
{
o = 1;
}
}
Recursive<<<1,newlen>>>(depth + 1);
}
__global__ void RecursiveCount() {
Recursive <<<1,5>>>(0);
}
The idea is to exclude 1 item (the item corresponding to the threadIdx) in each different thread. In each recursive call, using the variable depth, it works over a different base (variable x) on the route device variable.
I expect the kernel prompts something like:
2345_____________________
1345_____________________
1245_____________________
1234_____________________
2345_345_________________
2345_245_________________
2345_234_________________
2345_345__45_____________
2345_345__35_____________
2345_345__34_____________
..
2345_245__45_____________
..
But it prompts ...
·_____________
·_____________
·_____________
·_____________
·_____________
·2345
·2345
·2345
·2345
...
What I´m doing wrong?
What I´m doing wrong?
I may not articulate every problem with your code, but these items should get you a lot closer.
I recommend providing a complete example. In my view it is basically required by Stack Overflow, see item 1 here, note use of the word "must". Your example is missing any host code, including the original kernel call. It's only a few extra lines of code, why not include it? Sure, in this case, I can deduce what the call must have been, but why not just include it? Anyway, based on the output you indicated, it seems fairly evident the launch configuration of the host launch would have to be <<<1,1>>>.
This doesn't seem to be logical to me:
I expect the kernel prompts something like:
2345_____________________
The very first thing your kernel does is print out the route variable, before making any changes to it, so I would expect _____________________. However we can "fix" this by moving the printout to the end of the kernel.
You may be confused about what a __device__ variable is. It is a global variable, and there is only one copy of it. Therefore, when you modify it in your kernel code, every thread, in every kernel, is attempting to modify the same global variable, at the same time. That cannot possibly have orderly results, in any thread-parallel environment. I chose to "fix" this by making a local copy for each thread to work on.
You have an off-by-1 error, as well as an extent error in this loop:
for (int i = 0; i<6; ++i)
The off-by-1 error is due to the fact that you are iterating over 6 possible items (that is, i can reach a value of 5) but there are only 5 items in your init variable (the 6th item being a null terminator. The correct indexing starts out over 0-4 (with one of those being skipped). On subsequent iteration depths, its necessary to reduce this indexing extent by 1. Note that I've chosen to fix the first error here by increasing the length of init. There are other ways to fix, of course. My method inserts an extra _ between depths in the result.
You assume that at each iteration depth, the correct choice of items is the same, and in the same order, i.e. init. However this is not the case. At each depth, the choices of items must be selected not from the unchanging init variable, but from the choices passed from previous depth. Therefore we need a local, per-thread copy of init also.
A few other comments about CUDA Dynamic Parallelism (CDP). When passing pointers to data from one kernel scope to a child scope, local space pointers cannot be used. Therefore I allocate for the local copy of route from the heap, so it can be passed to child kernels. init can be deduced from route, so we can use an ordinary local variable for myinit.
You're going to quickly hit some dynamic parallelism (and perhaps memory) limits here if you continue this. I believe the total number of kernel launches for this is 5^5, which is 3125 (I'm doing this quickly, I may be mistaken). CDP has a pending launch limit of 2000 kernels by default. We're not hitting this here according to what I see, but you'll run into that sooner or later if you increase the depth or width of this operation. Furthermore, in-kernel allocations from the device heap are by default limited to 8KB. I don't seem to be hitting that limit, but probably I am, so my design should probably be modified to fix that.
Finally, in-kernel printf output is limited to the size of a particular buffer. If this technique is not already hitting that limit, it will soon if you increase the width or depth.
Here is a worked example, attempting to address the various items above. I'm not claiming it is defect free, but I think the output is closer to your expectations. Note that due to character limits on SO answers, I've truncated/excerpted some of the output.
$ cat t1639.cu
#include <stdio.h>
__device__ char route[31] = { "_________________________"};
__device__ char init[7] = { "12345_" };
__global__ void Recursive(int depth, const char *oroute) {
char *nroute = (char *)malloc(31);
char myinit[7];
if (depth == 0) memcpy(myinit, init, 6);
else memcpy(myinit, oroute+(depth-1)*6, 6);
myinit[6] = 0;
if (nroute == NULL) {printf("oops\n"); return;}
memcpy(nroute, oroute, 30);
nroute[30] = 0;
// up to depth 6
if (depth == 5) return;
// newroute = route - idx
int x = depth * 6;
//printf("%s\n", nroute);
int o = 0;
int newlen = 0;
for (int i = 0; i<(6-depth); ++i)
{
if (i != threadIdx.x)
{
nroute[i+x-o] = myinit[i];
newlen++;
}
else
{
o = 1;
}
}
printf("%s\n", nroute);
Recursive<<<1,newlen>>>(depth + 1, nroute);
}
__global__ void RecursiveCount() {
Recursive <<<1,5>>>(0, route);
}
int main(){
RecursiveCount<<<1,1>>>();
cudaDeviceSynchronize();
}
$ nvcc -o t1639 t1639.cu -rdc=true -lcudadevrt -arch=sm_70
$ cuda-memcheck ./t1639
========= CUDA-MEMCHECK
2345_____________________
1345_____________________
1245_____________________
1235_____________________
1234_____________________
2345__345________________
2345__245________________
2345__235________________
2345__234________________
2345__2345_______________
2345__345___45___________
2345__345___35___________
2345__345___34___________
2345__345___345__________
2345__345___45____5______
2345__345___45____4______
2345__345___45____45_____
2345__345___45____5______
2345__345___45____5_____5
2345__345___45____4______
2345__345___45____4_____4
2345__345___45____45____5
2345__345___45____45____4
2345__345___35____5______
2345__345___35____3______
2345__345___35____35_____
2345__345___35____5______
2345__345___35____5_____5
2345__345___35____3______
2345__345___35____3_____3
2345__345___35____35____5
2345__345___35____35____3
2345__345___34____4______
2345__345___34____3______
2345__345___34____34_____
2345__345___34____4______
2345__345___34____4_____4
2345__345___34____3______
2345__345___34____3_____3
2345__345___34____34____4
2345__345___34____34____3
2345__345___345___45_____
2345__345___345___35_____
2345__345___345___34_____
2345__345___345___45____5
2345__345___345___45____4
2345__345___345___35____5
2345__345___345___35____3
2345__345___345___34____4
2345__345___345___34____3
2345__245___45___________
2345__245___25___________
2345__245___24___________
2345__245___245__________
2345__245___45____5______
2345__245___45____4______
2345__245___45____45_____
2345__245___45____5______
2345__245___45____5_____5
2345__245___45____4______
2345__245___45____4_____4
2345__245___45____45____5
2345__245___45____45____4
2345__245___25____5______
2345__245___25____2______
2345__245___25____25_____
2345__245___25____5______
2345__245___25____5_____5
2345__245___25____2______
2345__245___25____2_____2
2345__245___25____25____5
2345__245___25____25____2
2345__245___24____4______
2345__245___24____2______
2345__245___24____24_____
2345__245___24____4______
2345__245___24____4_____4
2345__245___24____2______
2345__245___24____2_____2
2345__245___24____24____4
2345__245___24____24____2
2345__245___245___45_____
2345__245___245___25_____
2345__245___245___24_____
2345__245___245___45____5
2345__245___245___45____4
2345__245___245___25____5
2345__245___245___25____2
2345__245___245___24____4
2345__245___245___24____2
2345__235___35___________
2345__235___25___________
2345__235___23___________
2345__235___235__________
2345__235___35____5______
2345__235___35____3______
2345__235___35____35_____
2345__235___35____5______
2345__235___35____5_____5
2345__235___35____3______
2345__235___35____3_____3
2345__235___35____35____5
2345__235___35____35____3
2345__235___25____5______
2345__235___25____2______
2345__235___25____25_____
2345__235___25____5______
2345__235___25____5_____5
2345__235___25____2______
2345__235___25____2_____2
2345__235___25____25____5
2345__235___25____25____2
2345__235___23____3______
2345__235___23____2______
2345__235___23____23_____
2345__235___23____3______
2345__235___23____3_____3
2345__235___23____2______
2345__235___23____2_____2
2345__235___23____23____3
2345__235___23____23____2
2345__235___235___35_____
2345__235___235___25_____
2345__235___235___23_____
2345__235___235___35____5
2345__235___235___35____3
2345__235___235___25____5
2345__235___235___25____2
2345__235___235___23____3
2345__235___235___23____2
2345__234___34___________
2345__234___24___________
2345__234___23___________
2345__234___234__________
2345__234___34____4______
2345__234___34____3______
2345__234___34____34_____
2345__234___34____4______
2345__234___34____4_____4
2345__234___34____3______
2345__234___34____3_____3
2345__234___34____34____4
2345__234___34____34____3
2345__234___24____4______
2345__234___24____2______
2345__234___24____24_____
2345__234___24____4______
2345__234___24____4_____4
2345__234___24____2______
2345__234___24____2_____2
2345__234___24____24____4
2345__234___24____24____2
2345__234___23____3______
2345__234___23____2______
2345__234___23____23_____
2345__234___23____3______
2345__234___23____3_____3
2345__234___23____2______
2345__234___23____2_____2
2345__234___23____23____3
2345__234___23____23____2
2345__234___234___34_____
2345__234___234___24_____
2345__234___234___23_____
2345__234___234___34____4
2345__234___234___34____3
2345__234___234___24____4
2345__234___234___24____2
2345__234___234___23____3
2345__234___234___23____2
2345__2345__345__________
2345__2345__245__________
2345__2345__235__________
2345__2345__234__________
2345__2345__345___45_____
2345__2345__345___35_____
2345__2345__345___34_____
2345__2345__345___45____5
2345__2345__345___45____4
2345__2345__345___35____5
2345__2345__345___35____3
2345__2345__345___34____4
2345__2345__345___34____3
2345__2345__245___45_____
2345__2345__245___25_____
2345__2345__245___24_____
2345__2345__245___45____5
2345__2345__245___45____4
2345__2345__245___25____5
2345__2345__245___25____2
2345__2345__245___24____4
2345__2345__245___24____2
2345__2345__235___35_____
2345__2345__235___25_____
2345__2345__235___23_____
2345__2345__235___35____5
2345__2345__235___35____3
2345__2345__235___25____5
2345__2345__235___25____2
2345__2345__235___23____3
2345__2345__235___23____2
2345__2345__234___34_____
2345__2345__234___24_____
2345__2345__234___23_____
2345__2345__234___34____4
2345__2345__234___34____3
2345__2345__234___24____4
2345__2345__234___24____2
2345__2345__234___23____3
2345__2345__234___23____2
1345__345________________
1345__145________________
1345__135________________
1345__134________________
1345__1345_______________
1345__345___45___________
1345__345___35___________
1345__345___34___________
1345__345___345__________
1345__345___45____5______
1345__345___45____4______
1345__345___45____45_____
1345__345___45____5______
1345__345___45____5_____5
1345__345___45____4______
1345__345___45____4_____4
1345__345___45____45____5
1345__345___45____45____4
1345__345___35____5______
1345__345___35____3______
1345__345___35____35_____
1345__345___35____5______
1345__345___35____5_____5
1345__345___35____3______
1345__345___35____3_____3
1345__345___35____35____5
1345__345___35____35____3
1345__345___34____4______
1345__345___34____3______
1345__345___34____34_____
1345__345___34____4______
1345__345___34____4_____4
1345__345___34____3______
1345__345___34____3_____3
1345__345___34____34____4
1345__345___34____34____3
1345__345___345___45_____
1345__345___345___35_____
1345__345___345___34_____
1345__345___345___45____5
1345__345___345___45____4
1345__345___345___35____5
1345__345___345___35____3
1345__345___345___34____4
1345__345___345___34____3
1345__145___45___________
1345__145___15___________
1345__145___14___________
1345__145___145__________
1345__145___45____5______
1345__145___45____4______
1345__145___45____45_____
1345__145___45____5______
1345__145___45____5_____5
1345__145___45____4______
1345__145___45____4_____4
1345__145___45____45____5
1345__145___45____45____4
1345__145___15____5______
1345__145___15____1______
1345__145___15____15_____
1345__145___15____5______
1345__145___15____5_____5
1345__145___15____1______
1345__145___15____1_____1
1345__145___15____15____5
1345__145___15____15____1
1345__145___14____4______
1345__145___14____1______
1345__145___14____14_____
1345__145___14____4______
1345__145___14____4_____4
1345__145___14____1______
1345__145___14____1_____1
1345__145___14____14____4
1345__145___14____14____1
1345__145___145___45_____
1345__145___145___15_____
1345__145___145___14_____
1345__145___145___45____5
1345__145___145___45____4
1345__145___145___15____5
1345__145___145___15____1
1345__145___145___14____4
1345__145___145___14____1
1345__135___35___________
1345__135___15___________
1345__135___13___________
1345__135___135__________
1345__135___35____5______
1345__135___35____3______
1345__135___35____35_____
1345__135___35____5______
1345__135___35____5_____5
1345__135___35____3______
1345__135___35____3_____3
1345__135___35____35____5
1345__135___35____35____3
1345__135___15____5______
1345__135___15____1______
1345__135___15____15_____
1345__135___15____5______
1345__135___15____5_____5
1345__135___15____1______
1345__135___15____1_____1
1345__135___15____15____5
1345__135___15____15____1
1345__135___13____3______
1345__135___13____1______
1345__135___13____13_____
1345__135___13____3______
1345__135___13____3_____3
1345__135___13____1______
1345__135___13____1_____1
1345__135___13____13____3
1345__135___13____13____1
1345__135___135___35_____
1345__135___135___15_____
1345__135___135___13_____
1345__135___135___35____5
1345__135___135___35____3
1345__135___135___15____5
1345__135___135___15____1
1345__135___135___13____3
1345__135___135___13____1
1345__134___34___________
1345__134___14___________
1345__134___13___________
1345__134___134__________
1345__134___34____4______
1345__134___34____3______
1345__134___34____34_____
1345__134___34____4______
1345__134___34____4_____4
1345__134___34____3______
1345__134___34____3_____3
1345__134___34____34____4
1345__134___34____34____3
1345__134___14____4______
1345__134___14____1______
1345__134___14____14_____
1345__134___14____4______
1345__134___14____4_____4
1345__134___14____1______
1345__134___14____1_____1
1345__134___14____14____4
1345__134___14____14____1
1345__134___13____3______
1345__134___13____1______
1345__134___13____13_____
1345__134___13____3______
1345__134___13____3_____3
1345__134___13____1______
1345__134___13____1_____1
1345__134___13____13____3
1345__134___13____13____1
1345__134___134___34_____
1345__134___134___14_____
1345__134___134___13_____
1345__134___134___34____4
1345__134___134___34____3
1345__134___134___14____4
1345__134___134___14____1
1345__134___134___13____3
1345__134___134___13____1
1345__1345__345__________
1345__1345__145__________
1345__1345__135__________
1345__1345__134__________
1345__1345__345___45_____
1345__1345__345___35_____
1345__1345__345___34_____
1345__1345__345___45____5
1345__1345__345___45____4
1345__1345__345___35____5
1345__1345__345___35____3
1345__1345__345___34____4
1345__1345__345___34____3
1345__1345__145___45_____
1345__1345__145___15_____
1345__1345__145___14_____
1345__1345__145___45____5
1345__1345__145___45____4
1345__1345__145___15____5
1345__1345__145___15____1
1345__1345__145___14____4
1345__1345__145___14____1
1345__1345__135___35_____
1345__1345__135___15_____
1345__1345__135___13_____
1345__1345__135___35____5
1345__1345__135___35____3
1345__1345__135___15____5
1345__1345__135___15____1
1345__1345__135___13____3
1345__1345__135___13____1
1345__1345__134___34_____
1345__1345__134___14_____
1345__1345__134___13_____
1345__1345__134___34____4
1345__1345__134___34____3
1345__1345__134___14____4
1345__1345__134___14____1
1345__1345__134___13____3
1345__1345__134___13____1
1245__245________________
1245__145________________
1245__125________________
1245__124________________
1245__1245_______________
1245__245___45___________
1245__245___25___________
1245__245___24___________
1245__245___245__________
1245__245___45____5______
1245__245___45____4______
1245__245___45____45_____
1245__245___45____5______
1245__245___45____5_____5
1245__245___45____4______
1245__245___45____4_____4
1245__245___45____45____5
1245__245___45____45____4
1245__245___25____5______
1245__245___25____2______
1245__245___25____25_____
1245__245___25____5______
1245__245___25____5_____5
1245__245___25____2______
1245__245___25____2_____2
1245__245___25____25____5
1245__245___25____25____2
1245__245___24____4______
1245__245___24____2______
1245__245___24____24_____
1245__245___24____4______
1245__245___24____4_____4
1245__245___24____2______
1245__245___24____2_____2
1245__245___24____24____4
1245__245___24____24____2
1245__245___245___45_____
1245__245___245___25_____
1245__245___245___24_____
1245__245___245___45____5
1245__245___245___45____4
1245__245___245___25____5
1245__245___245___25____2
1245__245___245___24____4
1245__245___245___24____2
1245__145___45___________
1245__145___15___________
1245__145___14___________
1245__145___145__________
1245__145___45____5______
1245__145___45____4______
1245__145___45____45_____
1245__145___45____5______
1245__145___45____5_____5
1245__145___45____4______
...
1235__1235__235___25_____
1235__1235__235___23_____
1235__1235__235___35____5
1235__1235__235___35____3
1235__1235__235___25____5
1235__1235__235___25____2
1235__1235__235___23____3
1235__1235__235___23____2
1235__1235__135___35_____
1235__1235__135___15_____
1235__1235__135___13_____
1235__1235__135___35____5
1235__1235__135___35____3
1235__1235__135___15____5
1235__1235__135___15____1
1235__1235__135___13____3
1235__1235__135___13____1
1235__1235__125___25_____
1235__1235__125___15_____
1235__1235__125___12_____
1235__1235__125___25____5
1235__1235__125___25____2
1235__1235__125___15____5
1235__1235__125___15____1
1235__1235__125___12____2
1235__1235__125___12____1
1235__1235__123___23_____
1235__1235__123___13_____
1235__1235__123___12_____
1235__1235__123___23____3
1235__1235__123___23____2
1235__1235__123___13____3
1235__1235__123___13____1
1235__1235__123___12____2
1235__1235__123___12____1
1234__234________________
1234__134________________
1234__124________________
1234__123________________
1234__1234_______________
1234__234___34___________
1234__234___24___________
1234__234___23___________
1234__234___234__________
1234__234___34____4______
1234__234___34____3______
1234__234___34____34_____
1234__234___34____4______
1234__234___34____4_____4
1234__234___34____3______
1234__234___34____3_____3
1234__234___34____34____4
1234__234___34____34____3
1234__234___24____4______
1234__234___24____2______
1234__234___24____24_____
1234__234___24____4______
1234__234___24____4_____4
1234__234___24____2______
1234__234___24____2_____2
1234__234___24____24____4
1234__234___24____24____2
1234__234___23____3______
1234__234___23____2______
1234__234___23____23_____
1234__234___23____3______
1234__234___23____3_____3
1234__234___23____2______
1234__234___23____2_____2
1234__234___23____23____3
1234__234___23____23____2
1234__234___234___34_____
1234__234___234___24_____
1234__234___234___23_____
1234__234___234___34____4
1234__234___234___34____3
1234__234___234___24____4
1234__234___234___24____2
1234__234___234___23____3
1234__234___234___23____2
1234__134___34___________
1234__134___14___________
1234__134___13___________
1234__134___134__________
1234__134___34____4______
1234__134___34____3______
1234__134___34____34_____
1234__134___34____4______
1234__134___34____4_____4
1234__134___34____3______
1234__134___34____3_____3
1234__134___34____34____4
1234__134___34____34____3
1234__134___14____4______
1234__134___14____1______
1234__134___14____14_____
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1234__134___14____4_____4
1234__134___14____1______
1234__134___14____1_____1
1234__134___14____14____4
1234__134___14____14____1
1234__134___13____3______
1234__134___13____1______
1234__134___13____13_____
1234__134___13____3______
1234__134___13____3_____3
1234__134___13____1______
1234__134___13____1_____1
1234__134___13____13____3
1234__134___13____13____1
1234__134___134___34_____
1234__134___134___14_____
1234__134___134___13_____
1234__134___134___34____4
1234__134___134___34____3
1234__134___134___14____4
1234__134___134___14____1
1234__134___134___13____3
1234__134___134___13____1
1234__124___24___________
1234__124___14___________
1234__124___12___________
1234__124___124__________
1234__124___24____4______
1234__124___24____2______
1234__124___24____24_____
1234__124___24____4______
1234__124___24____4_____4
1234__124___24____2______
1234__124___24____2_____2
1234__124___24____24____4
1234__124___24____24____2
1234__124___14____4______
1234__124___14____1______
1234__124___14____14_____
1234__124___14____4______
1234__124___14____4_____4
1234__124___14____1______
1234__124___14____1_____1
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1234__124___14____14____1
1234__124___12____2______
1234__124___12____1______
1234__124___12____12_____
1234__124___12____2______
1234__124___12____2_____2
1234__124___12____1______
1234__124___12____1_____1
1234__124___12____12____2
1234__124___12____12____1
1234__124___124___24_____
1234__124___124___14_____
1234__124___124___12_____
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1234__124___124___24____2
1234__124___124___14____4
1234__124___124___14____1
1234__124___124___12____2
1234__124___124___12____1
1234__123___23___________
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1234__123___23____3______
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1234__123___12____1______
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1234__123___12____12____1
1234__123___123___23_____
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1234__1234__234__________
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1234__1234__124__________
1234__1234__123__________
1234__1234__234___34_____
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1234__1234__124___24_____
1234__1234__124___14_____
1234__1234__124___12_____
1234__1234__124___24____4
1234__1234__124___24____2
1234__1234__124___14____4
1234__1234__124___14____1
1234__1234__124___12____2
1234__1234__124___12____1
1234__1234__123___23_____
1234__1234__123___13_____
1234__1234__123___12_____
1234__1234__123___23____3
1234__1234__123___23____2
1234__1234__123___13____3
1234__1234__123___13____1
1234__1234__123___12____2
1234__1234__123___12____1
========= ERROR SUMMARY: 0 errors
$
The answer given by Robert Crovella is correct at the 5th point, the mistake was in the using of init in every recursive call, but I want to clarify something that can be useful for other beginners with CUDA.
I used this variable because when I tried to launch a child kernel passing a local variable I always got the exception: Error: a pointer to local memory cannot be passed to a launch as an argument.
As I´m C# expert developer I´m not used to using pointers (Ref does the low-level-work for that) so I thought there was no way to do it in CUDA/c programming.
As Robert shows in its code it is possible copying the pointer with memalloc for using it as a referable argument.
Here is a kernel simplified as an example of deep recursion.
__device__ char init[6] = { "12345" };
__global__ void Recursive(int depth, const char* route) {
// up to depth 6
if (depth == 5) return;
//declaration for a referable argument (point 6)
char* newroute = (char*)malloc(6);
memcpy(newroute, route, 5);
int o = 0;
int newlen = 0;
for (int i = 0; i < (6 - depth); ++i)
{
if (i != threadIdx.x)
{
newroute[i - o] = route[i];
newlen++;
}
else
{
o = 1;
}
}
printf("%s\n", newroute);
Recursive <<<1, newlen>>>(depth + 1, newroute);
}
__global__ void RecursiveCount() {
Recursive <<<1, 5>>>(0, init);
}
I don't add the main call because I´m using ManagedCUDA for C# but as Robert says it can be figured-out how the call RecursiveCount is.
About ending arrays of char with /0 ... sorry but I don't know exactly what is the benefit; this code works fine without them.
I'm trying to find how the binding operation works on attributes and what makes it so different from nqp::bindattr. Consider the following example:
class Foo {
has #!foo;
submethod TWEAK {
my $fval = [<a b c>];
use nqp;
nqp::bindattr( nqp::decont(self), $?CLASS, '#!foo',
##!foo :=
Proxy.new(
FETCH => -> $ { $fval },
STORE => -> $, $v { $fval = $v }
)
);
}
method check {
say #!foo.perl;
}
}
my $inst = Foo.new;
$inst.check;
It prints:
$["a", "b", "c"]
Replacing nqp::bindattr with the binding operator from the comment gives correct output:
["a", "b", "c"]
Similarly, if foo is a public attribute and accessor is used the output would be correct too due to deconterisation taking place within the accessor.
I use similar code in my AttrX::Mooish module where use of := would overcomplicate the implementation. So far, nqp::bindattr did the good job for me until the above problem arised.
I tried tracing down Rakudo's internals looking for := implementation but without any success so far. I would ask here either for an advise as to how to simulate the operator or where in the source to look for its implementation.
Before I dig into the answer: most things in this post are implementation-defined, and the implementation is free to define them differently in the future.
To find out what something (naively) compiles into under Rakudo Perl 6, use the --target=ast option (perl6 --target=ast foo.p6). For example, the bind in:
class C {
has $!a;
submethod BUILD() {
my $x = [1,2,3];
$!a := $x
}
}
Comes out as:
- QAST::Op(bind) :statement_id<7>
- QAST::Var(attribute $!a) <wanted> $!a
- QAST::Var(lexical self)
- QAST::WVal(C)
- QAST::Var(lexical $x) $x
While switching it for #!a like here:
class C {
has #!a;
submethod BUILD() {
my $x = [1,2,3];
#!a := $x
}
}
Comes out as:
- QAST::Op(bind) :statement_id<7>
- QAST::Var(attribute #!a) <wanted> #!a
- QAST::Var(lexical self)
- QAST::WVal(C)
- QAST::Op(p6bindassert)
- QAST::Op(decont)
- QAST::Var(lexical $x) $x
- QAST::WVal(Positional)
The decont instruction is the big difference here, and it will take the contents of the Proxy by calling its FETCH, thus why the containerization is gone. Thus, you can replicate the behavior by inserting nqp::decont around the Proxy, although that rather begs the question of what the Proxy is doing there if the correct answer is obtained without it!
Both := and = are compiled using case analysis (namely, by looking at what is on the left hand side). := only works for a limited range of simple expressions on the left; it is a decidedly low-level operator. By contrast, = falls back to a sub call if the case analysis doesn't come up with a more efficient form to emit, though in most cases it manages something better.
The case analysis for := inserts a decont when the target is a lexical or attribute with sigil # or %, since - at a Perl 6 level - having an item bound to an # or % makes no sense. Using nqp::bindattr is going a level below Perl 6 semantics, and so it's possible to end up with the Proxy bound directly there using that. However, it also violates expectations elsewhere. Don't expect that to go well (but it seems you don't want to do that anyway.)
I am getting into Vulkan and stumbled on my first problem. When trying to create a debug report callback (validation layers and debug extensions are available on my intel hd vulkan driver, at least it says so), it fails telling me vkCreateDebugReportCallbackEXT is an unresolved symbol. When trying to get the function pointer it fails telling me vkCreateDebugReportCallbackEXT is already defined.
Which it is, in the Vulkan header. I could set VK_NO_PROTOTYPES but then I would have to load everything by hand. Is there a way around this? Just using a different name for the function pointer won't work, since I am using Vulkan-Hpp and it uses vkCreateDebugReportCallbackEXT as it is.
Is this a driver bug, telling me debug extensions are available, but there are not?
Btw, I am using VS2015.
Thanks for any help
That's normal. vulkan.h defines them as a global functions. But the loader commands obviously return function pointer.
Normally you would just use a different name you like. But I like to have the canonical names too...
I solve it by defining the function myself (using the declaration from vulkan.h) which in turn calls the loaded pointer:
VKAPI_ATTR VkResult VKAPI_CALL vkCommandEXT( /*...*/ ){
return fpCommandEXT( /*...*/ );
}
(Shameless self-promotion) Like so:
https://github.com/krOoze/Hello_Triangle/blob/8227220/ErrorHandling.h#L181
I make the command to self-load on its first use — if you don't like that, in older commit I had more conventional loader:
https://github.com/krOoze/Hello_Triangle/blob/699ab57/HelloTriangle.cpp#L731
PS:
Khronos themselves just added loader code that illustrates that nicely:
https://github.com/KhronosGroup/Vulkan-Docs/blob/1.0/src/ext_loader/vulkan_ext.c
If you handle multiple VkInstances or VkDevices the loaded functions have to be dispatched to the correct instance or device. For example, I do that (likely inefficiently) here:
https://github.com/krOoze/Hello_Triangle/blob/a691de5/ExtensionLoader.h
I had same issue, couldn't find solution so i solved it this way
(might be wrong, but i just want to share in case it will help somebody):
struct DebugDispatch {
//KHRONOS
PFN_vkCreateDebugReportCallbackEXT vkCreateDebugReportCallbackEXT = 0;
PFN_vkDestroyDebugReportCallbackEXT vkDestroyDebugReportCallbackEXT = 0;
//LUNARG
PFN_vkCreateDebugUtilsMessengerEXT vkCreateDebugUtilsMessengerEXT = 0;
PFN_vkDestroyDebugUtilsMessengerEXT vkDestroyDebugUtilsMessengerEXT = 0;
}
VKAPI_ATTR vk::Bool32 VKAPI_CALL debugReportCallback(...){...}
VKAPI_ATTR vk::Bool32 VKAPI_CALL debugUtilsMessengerCallback(...){...}
enum class ValidationFlagsBits : unsigned int {
NONE = 0,
KHRONOS = 1,
LUNARG = 1 << 1
};
typedef vk::Flags<ValidationFlagsBits> ValidationFlags;
void Example(){
...
vk::Instance instance;
instance = vk::createInstance(...);
DebugDispatch debug_dispatch;
vk::DebugReportCallbackEXT debug_report_callback;
vk::DebugUtilsMessengerEXT debug_utils_messenger;
if(validation_flags & ValidationFlagsBits::KHRONOS){
debug_dispatch.vkCreateDebugReportCallbackEXT =
(PFN_vkCreateDebugReportCallbackEXT)instance.getProcAddr("vkCreateDebugReportCallbackEXT");
debug_dispatch.vkDestroyDebugReportCallbackEXT =
(PFN_vkDestroyDebugReportCallbackEXT)instance.getProcAddr("vkDestroyDebugReportCallbackEXT");
vk::DebugUtilsMessengerCreateInfoEXT create_info{};
create_info.messageSeverity = ...;
create_info.messageType = ...;
create_info.pfnUserCallback = reinterpret_cast<PFN_vkDebugUtilsMessengerCallbackEXT>(&debugUtilsMessengerCallback);
debug_utils_messenger = instance.createDebugUtilsMessengerEXT(create_info, nullptr, debug_dispatch);
}
if(validation_flags & ValidationFlagsBits::LUNARG){
debug_dispatch.vkCreateDebugUtilsMessengerEXT =
(PFN_vkCreateDebugUtilsMessengerEXT)instance.getProcAddr("vkCreateDebugUtilsMessengerEXT");
debug_dispatch.vkDestroyDebugUtilsMessengerEXT =
(PFN_vkDestroyDebugUtilsMessengerEXT)instance.getProcAddr("vkDestroyDebugUtilsMessengerEXT");
vk::DebugReportCallbackCreateInfoEXT create_info{};
create_info.flags = ...;
create_info.pfnCallback = reinterpret_cast<PFN_vkDebugReportCallbackEXT>(&debugReportCallback);
debug_report_callback = instance.createDebugReportCallbackEXT(create_info, nullptr, debug_dispatch);
}
...
if(validation_flags & ValidationFlagsBits::KHRONOS){
instance.destroyDebugUtilsMessengerEXT(debug_utils_messenger, nullptr, debug_dispatch);
}
if(validation_flags & ValidationFlagsBits::LUNARG){
instance.destroyDebugReportCallbackEXT(debug_report_callback, nullptr, debug_dispatch);
}
instance.destroy();
}
I'm writing a function to find triangle numbers and the natural way to write it is recursively:
function triangle (x)
if x == 0 then return 0 end
return x+triangle(x-1)
end
But attempting to calculate the first 100,000 triangle numbers fails with a stack overflow after a while. This is an ideal function to memoize, but I want a solution that will memoize any function I pass to it.
Mathematica has a particularly slick way to do memoization, relying on the fact that hashes and function calls use the same syntax:
triangle[0] = 0;
triangle[x_] := triangle[x] = x + triangle[x-1]
That's it. It works because the rules for pattern-matching function calls are such that it always uses a more specific definition before a more general definition.
Of course, as has been pointed out, this example has a closed-form solution: triangle[x_] := x*(x+1)/2. Fibonacci numbers are the classic example of how adding memoization gives a drastic speedup:
fib[0] = 1;
fib[1] = 1;
fib[n_] := fib[n] = fib[n-1] + fib[n-2]
Although that too has a closed-form equivalent, albeit messier: http://mathworld.wolfram.com/FibonacciNumber.html
I disagree with the person who suggested this was inappropriate for memoization because you could "just use a loop". The point of memoization is that any repeat function calls are O(1) time. That's a lot better than O(n). In fact, you could even concoct a scenario where the memoized implementation has better performance than the closed-form implementation!
You're also asking the wrong question for your original problem ;)
This is a better way for that case:
triangle(n) = n * (n - 1) / 2
Furthermore, supposing the formula didn't have such a neat solution, memoisation would still be a poor approach here. You'd be better off just writing a simple loop in this case. See this answer for a fuller discussion.
I bet something like this should work with variable argument lists in Lua:
local function varg_tostring(...)
local s = select(1, ...)
for n = 2, select('#', ...) do
s = s..","..select(n,...)
end
return s
end
local function memoize(f)
local cache = {}
return function (...)
local al = varg_tostring(...)
if cache[al] then
return cache[al]
else
local y = f(...)
cache[al] = y
return y
end
end
end
You could probably also do something clever with a metatables with __tostring so that the argument list could just be converted with a tostring(). Oh the possibilities.
In C# 3.0 - for recursive functions, you can do something like:
public static class Helpers
{
public static Func<A, R> Memoize<A, R>(this Func<A, Func<A,R>, R> f)
{
var map = new Dictionary<A, R>();
Func<A, R> self = null;
self = (a) =>
{
R value;
if (map.TryGetValue(a, out value))
return value;
value = f(a, self);
map.Add(a, value);
return value;
};
return self;
}
}
Then you can create a memoized Fibonacci function like this:
var memoized_fib = Helpers.Memoize<int, int>((n,fib) => n > 1 ? fib(n - 1) + fib(n - 2) : n);
Console.WriteLine(memoized_fib(40));
In Scala (untested):
def memoize[A, B](f: (A)=>B) = {
var cache = Map[A, B]()
{ x: A =>
if (cache contains x) cache(x) else {
val back = f(x)
cache += (x -> back)
back
}
}
}
Note that this only works for functions of arity 1, but with currying you could make it work. The more subtle problem is that memoize(f) != memoize(f) for any function f. One very sneaky way to fix this would be something like the following:
val correctMem = memoize(memoize _)
I don't think that this will compile, but it does illustrate the idea.
Update: Commenters have pointed out that memoization is a good way to optimize recursion. Admittedly, I hadn't considered this before, since I generally work in a language (C#) where generalized memoization isn't so trivial to build. Take the post below with that grain of salt in mind.
I think Luke likely has the most appropriate solution to this problem, but memoization is not generally the solution to any issue of stack overflow.
Stack overflow usually is caused by recursion going deeper than the platform can handle. Languages sometimes support "tail recursion", which re-uses the context of the current call, rather than creating a new context for the recursive call. But a lot of mainstream languages/platforms don't support this. C# has no inherent support for tail-recursion, for example. The 64-bit version of the .NET JITter can apply it as an optimization at the IL level, which is all but useless if you need to support 32-bit platforms.
If your language doesn't support tail recursion, your best option for avoiding stack overflows is either to convert to an explicit loop (much less elegant, but sometimes necessary), or find a non-iterative algorithm such as Luke provided for this problem.
function memoize (f)
local cache = {}
return function (x)
if cache[x] then
return cache[x]
else
local y = f(x)
cache[x] = y
return y
end
end
end
triangle = memoize(triangle);
Note that to avoid a stack overflow, triangle would still need to be seeded.
Here's something that works without converting the arguments to strings.
The only caveat is that it can't handle a nil argument. But the accepted solution can't distinguish the value nil from the string "nil", so that's probably OK.
local function m(f)
local t = { }
local function mf(x, ...) -- memoized f
assert(x ~= nil, 'nil passed to memoized function')
if select('#', ...) > 0 then
t[x] = t[x] or m(function(...) return f(x, ...) end)
return t[x](...)
else
t[x] = t[x] or f(x)
assert(t[x] ~= nil, 'memoized function returns nil')
return t[x]
end
end
return mf
end
I've been inspired by this question to implement (yet another) flexible memoize function in Lua.
https://github.com/kikito/memoize.lua
Main advantages:
Accepts a variable number of arguments
Doesn't use tostring; instead, it organizes the cache in a tree structure, using the parameters to traverse it.
Works just fine with functions that return multiple values.
Pasting the code here as reference:
local globalCache = {}
local function getFromCache(cache, args)
local node = cache
for i=1, #args do
if not node.children then return {} end
node = node.children[args[i]]
if not node then return {} end
end
return node.results
end
local function insertInCache(cache, args, results)
local arg
local node = cache
for i=1, #args do
arg = args[i]
node.children = node.children or {}
node.children[arg] = node.children[arg] or {}
node = node.children[arg]
end
node.results = results
end
-- public function
local function memoize(f)
globalCache[f] = { results = {} }
return function (...)
local results = getFromCache( globalCache[f], {...} )
if #results == 0 then
results = { f(...) }
insertInCache(globalCache[f], {...}, results)
end
return unpack(results)
end
end
return memoize
Here is a generic C# 3.0 implementation, if it could help :
public static class Memoization
{
public static Func<T, TResult> Memoize<T, TResult>(this Func<T, TResult> function)
{
var cache = new Dictionary<T, TResult>();
var nullCache = default(TResult);
var isNullCacheSet = false;
return parameter =>
{
TResult value;
if (parameter == null && isNullCacheSet)
{
return nullCache;
}
if (parameter == null)
{
nullCache = function(parameter);
isNullCacheSet = true;
return nullCache;
}
if (cache.TryGetValue(parameter, out value))
{
return value;
}
value = function(parameter);
cache.Add(parameter, value);
return value;
};
}
}
(Quoted from a french blog article)
In the vein of posting memoization in different languages, i'd like to respond to #onebyone.livejournal.com with a non-language-changing C++ example.
First, a memoizer for single arg functions:
template <class Result, class Arg, class ResultStore = std::map<Arg, Result> >
class memoizer1{
public:
template <class F>
const Result& operator()(F f, const Arg& a){
typename ResultStore::const_iterator it = memo_.find(a);
if(it == memo_.end()) {
it = memo_.insert(make_pair(a, f(a))).first;
}
return it->second;
}
private:
ResultStore memo_;
};
Just create an instance of the memoizer, feed it your function and argument. Just make sure not to share the same memo between two different functions (but you can share it between different implementations of the same function).
Next, a driver functon, and an implementation. only the driver function need be public
int fib(int); // driver
int fib_(int); // implementation
Implemented:
int fib_(int n){
++total_ops;
if(n == 0 || n == 1)
return 1;
else
return fib(n-1) + fib(n-2);
}
And the driver, to memoize
int fib(int n) {
static memoizer1<int,int> memo;
return memo(fib_, n);
}
Permalink showing output on codepad.org. Number of calls is measured to verify correctness. (insert unit test here...)
This only memoizes one input functions. Generalizing for multiple args or varying arguments left as an exercise for the reader.
In Perl generic memoization is easy to get. The Memoize module is part of the perl core and is highly reliable, flexible, and easy-to-use.
The example from it's manpage:
# This is the documentation for Memoize 1.01
use Memoize;
memoize('slow_function');
slow_function(arguments); # Is faster than it was before
You can add, remove, and customize memoization of functions at run time! You can provide callbacks for custom memento computation.
Memoize.pm even has facilities for making the memento cache persistent, so it does not need to be re-filled on each invocation of your program!
Here's the documentation: http://perldoc.perl.org/5.8.8/Memoize.html
Extending the idea, it's also possible to memoize functions with two input parameters:
function memoize2 (f)
local cache = {}
return function (x, y)
if cache[x..','..y] then
return cache[x..','..y]
else
local z = f(x,y)
cache[x..','..y] = z
return z
end
end
end
Notice that parameter order matters in the caching algorithm, so if parameter order doesn't matter in the functions to be memoized the odds of getting a cache hit would be increased by sorting the parameters before checking the cache.
But it's important to note that some functions can't be profitably memoized. I wrote memoize2 to see if the recursive Euclidean algorithm for finding the greatest common divisor could be sped up.
function gcd (a, b)
if b == 0 then return a end
return gcd(b, a%b)
end
As it turns out, gcd doesn't respond well to memoization. The calculation it does is far less expensive than the caching algorithm. Ever for large numbers, it terminates fairly quickly. After a while, the cache grows very large. This algorithm is probably as fast as it can be.
Recursion isn't necessary. The nth triangle number is n(n-1)/2, so...
public int triangle(final int n){
return n * (n - 1) / 2;
}
Please don't recurse this. Either use the x*(x+1)/2 formula or simply iterate the values and memoize as you go.
int[] memo = new int[n+1];
int sum = 0;
for(int i = 0; i <= n; ++i)
{
sum+=i;
memo[i] = sum;
}
return memo[n];