Remove hipSimpleIpcMem.cpp as the IPC APIs are expected to work
with different processes and not the same process. Also, modify
the hipMultiProcIpcMem.cpp to test the offset scenarios
Change-Id: Ia161fc9ab39e27f22d8ef7268e0d7669ece5cdce
Change-Id: Ic3cb79ef4aca40b4a504483eb81fd83bb8a201d9
[dtest] Tests for hipMemcpy2DFromArray
and hipMemcpy2DFromArrayAsync APIs
1. Negative scenarios for both the APIs
2. Functional size check scenarios for both APIs
3. Invoke the API from Peer Device Context
4. Simple scenarios for both APIs
5. Pinned Host Memory from same & multi GPU
Change-Id: I80c84ec3f9722d18683d31be65caa1bd64054da6
This test is incorrect about _Float16 overloading. Need to keep the test
passing for both old and new compiler until the compiler change is in
mainline.
Change-Id: I2f9be8957282fd0579c74f1e9f23e65c4484f3a2
Add concurrentManagedAccess detection in hipMallocManaged test.
Skip test when device doesn't support concurrentManagedAccess.
Change-Id: Ie54046feef3baba857a7068972ec1fc1a60c2dfd
Add a test for fine-grained device to device coherency.
Add a test for fine-grained host to device coherency.
Change-Id: I62482cae917fa19feaa17adb53f3084527ad8fda
Addresses the scenarios when the size passed is more than
the allocated size and when the deviceid is invalid
Change-Id: I6c9b62639096f655ffb61976905b1ce8c5f51ee7
Change-Id: I8a0d660924a8e2300c517aba6f9088626b8f6ef5
1. Added 21 test scenarios to test the hipComplex functions on both host and device.
2. Modified the floating point comparisons with precision check.
Change-Id: I9edfb0c635ced255935087c85b77d3cc6a1a82e3
Add device_id_ in hip::event to match cuda behaviour in
hipEventQuery() and hipEventRecord().
Enable hipEventElapsedTime test on AMD platform.
Workarround sporadic crash of hipEventIpc test due to
some bug of event ipc.
Add missing hipEventDestroy() in some event tests.
Fix some logic code errors.
Fix typo in comment.
Change-Id: I9ec74c475161b3e31df48d193449023e921f2924
[dtest] Additional tests for Memcpy
APIs tested:
hipMemcpy, hipMemcpyAsync,
hipMemcpyHtoD, hipMemcpyHtoDAsync,
hipMemcpyDtoH, hipMemcpyDtoHAsync,
hipMemcpyDtoD, hipMemcpyDtoDAsync
1: The aim of this test case is to cover all
the negative test cases for 8 hipMemcpy apis
2: This test launches NUM_THREADS threads.
Each thread in turn tests the working of
8 hipmemcpy apis
3: This test case verifies the working of
Memcpy apis for range of memory sizes from
smallest one unit transfer to 1GB.
Change-Id: If5c99527a78e817bafab2e1bd9b686a9ff916184
On Windows there's something fundamentally broken about redirecting IO
into a file and then restoring that said IO to it's original state. Even
though no syscalls would fail, the output would sometimes either go into
CLI or straight up nowhere.
Simply using pipes instead of a temporary file magically resolves the
above issue ¯\_(ツ)_/¯
Unfortunately the max pipe size on Linux is 1Mb, which is not enough to
store all the data printed by the kernel. This leads to a softhang in
vprintf().
Stick to using a temporary file on Linux, but switch to pipes on
Windows. Slightly refactor the CaptureStream struct to accomadate this
difference.
Change-Id: Id8e68f150df47815a4f652ee2bcd6cfb7c3e3bac
The following snippets has different behaviour based on platform.
printf("%p", 0x123abc);
Linux -> 0x123abc
Windows -> 123ABC
printf("%p", nullptr);
Linux -> (nil)
Windows -> 0000000000000000
%p specifier according to C spec is implementation defined, so we need
to adjust the reference string to be correct on Windows.
Change-Id: I7059fa0f6cde611718bd76655637670fcbccf43c
[dtest] Tests for hipEvent related APIs
Added Negative scenarios for hipEvent related APIs
1. Verifying all hipEvent related APIs by passing nullptr.
2. Pass illegal/unknown flag to hipEventCreateWithFlags API
Change-Id: Ia0a24065d16fe0f5ee28a88e280c25c1be0c3590
runtimeApi/event/hipEventElapsedTime will report invalid resource error
on cuda due to wrong calling sequence. The fix will arrange the calling
in right sequence.
Change-Id: I3db28a962888566ea135e3cbdefa68d373e2d369
memory/hipMalloc_MultiThreaded_MultiGpu costs too much time to finish.
1 GPU: about 1000s, 2 GPUs: about 2200s
But Jenkin build need quick return and ctest will kill test that last
1500+s. So we need shorten the test time.
Change-Id: I3db27a962808566ea135e3cbdefa66d373e2d369
1. Added 1 scenario to validate value of deviceProp.arch.has* with
value of __HIP_ARCH_HAS_* device flag.
SWDEV-238517 - Enhancing hip unit tests
Change-Id: Idb237a76b75180ce77808853a5351f19077a0d33
Added a test to generate a code object for multiple target
architectures (including for the current device),
load and execute the kernel.
SWDEV-238517 for enhancing hip unit tests
Change-Id: I509d01124abdc0495cfc770ab5508738f108c91c
tests/src/runtimeApi/module/hipModuleLaunchKernel.cpp doesn't
need hip_ext.h which will fail cuda building. So remove it
Change-Id: Icf5763449ccec839d9efda90ffe3a86fb53bdb85
Satyanvesh Dittakavi
German Andryeyev
DURGESH KROTTAPALLI
Yaxun (Sam) Liu
Rahul Garg
Tao Sang
sumanthtg
Sourabh Betigeri
Aaron Enye Shi
Sarbojit Sarkar
Rupam Chetia
Ravi C Akkenapally
jujiang
Saleel Kudchadker
kjayapra-amd
Lakhan singh Thakur
Vladislav Sytchenko
agodavar
cjatin