2Roghnaigh MERGE mar do fhormáid aschuir ghairmiúil
3Cumraigh socruithe cáilíochta más gá
4Íoslódáil do chomhad MERGE tiontaithe
Cumaisc Físeáin Ceisteanna Coitianta
Cad é an uirlis Físeáin a Chumaisc?
+
Cuireann an uirlis ar líne saor in aisce seo comhaid físe iolracha le chéile i bhfíseán amháin gan uaim. Foirfe chun bailiúcháin a chruthú nó físeáin scoilte a chur le chéile.
Cén formáidí físe is féidir liom a chumasc?
+
Tacaíonn ár gcumasc físe le gach mórfhormáid lena n-áirítear MP4, MOV, MKV, WebM, AVI, WMV, agus níos mó. Is féidir leat fiú físeáin de fhormáidí éagsúla a chumasc le chéile.
An féidir liom físeáin i bhformáidí éagsúla a chumasc?
+
Sea, is féidir leat físeáin a chumasc i bhformáidí éagsúla. Láimhseálann ár n-uirlis an tiontú go huathoibríoch agus aschuirtear comhad físe aontaithe.
Cé mhéad físeán is féidir liom a chumasc ag an am céanna?
+
Is féidir le húsáideoirí saor in aisce suas le 5 fhíseán a chumasc ag an am céanna. Is féidir le húsáideoirí préimhe líon neamhtheoranta físeáin a chumasc i seisiún amháin.
An mbeidh tionchar ag an gcumasc ar cháilíocht na bhfíseán?
+
Coinníonn ár n-uirlis cáilíocht bhunaidh do fhíseán. Tá an caighdeán aschuir comhoiriúnach leis an bhfíseán ionchuir den chaighdeán is airde.
An féidir liom comhaid iolracha a phróiseáil ag an am céanna?
+
Sea, is féidir leat comhaid físe iolracha a uaslódáil agus a chumasc ag an am céanna. Is féidir le húsáideoirí saor in aisce suas le 2 bhaisc a phróiseáil ag an am céanna, ach níl aon teorainneacha ag úsáideoirí Préimhe.
An oibríonn an uirlis seo ar ghléasanna soghluaiste?
+
Sea, tá ár gcumas físeáin lánfhreagrach agus oibríonn sé ar fhóin chliste agus táibléid. Is féidir leat físeáin a chumasc ar iOS, Android, agus aon fheiste le brabhsálaí gréasáin nua-aimseartha.
Cé na brabhsálaithe a bhfuil tacaíocht acu?
+
Oibríonn ár gcumaisc físe le gach brabhsálaí nua-aimseartha lena n-áirítear Chrome, Firefox, Safari, Edge, agus Opera. Molaimid do bhrabhsálaí a choinneáil cothrom le dáta chun an taithí is fearr a fháil.
An gcoinnítear mo chuid comhad príobháideach?
+
Sea, tá do fhíseáin go hiomlán príobháideach. Scriostar gach comhad uaslódáilte go huathoibríoch ónár bhfreastalaithe tar éis próiseála. Ní stórálaimid, ní roinnimid ná ní fhéachaimid ar ábhar do fhíseáin choíche.
Cad a tharlóidh mura dtosaíonn mo íoslódáil?
+
Mura dtosaíonn d’íoslódáil go huathoibríoch, cliceáil an cnaipe íoslódála arís. Cinntigh nach gcuireann do bhrabhsálaí bac ar fhuinneoga aníos agus seiceáil d’fhillteán íoslódálacha.
An mbeidh tionchar aige seo ar an gcáilíocht?
+
Coinníonn ár gcumasc físe an caighdeán bunaidh. Coinníonn an físeán aschuir cáilíocht do chomhaid ionchuir gan aon laghdú.
An gá dom cuntas a chruthú?
+
Níl aon chuntas ag teastáil le haghaidh cumasc físeáin bhunúsach. Is féidir leat comhaid a phróiseáil láithreach gan clárú. Trí chuntas saor in aisce a chruthú, gheobhaidh tú rochtain ar do stair phróiseála agus ar ghnéithe breise.
[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.27 GiB is allocated by PyTorch, and 95.51 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
✓ [Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.28 GiB is allocated by PyTorch, and 87.41 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]
✓ Gan fógraí
✓ [Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.29 GiB is allocated by PyTorch, and 72.43 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]