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np.save and np.load with memmap mode returned OSError

score 33 · Answer 1 · 2024-03-24T15:09:31.160000

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np.save and np.load with memmap mode returned OSError

33 views Asked by Muhammad Ikhwan Perwira At 24 March 2024 at 15:09

score 47 · Answer 2 · 2024-03-23T22:10:31.000000

Numpy memmap still using RAM instead of disk while doing vector operation

47 views Asked by Muhammad Ikhwan Perwira At 23 March 2024 at 22:10

score 67 · Answer 3 · 2023-12-29T16:56:29.823000

Load, process and save larger-than-memory array using dask

67 views Asked by smashwhat At 29 December 2023 at 16:56

score 36 · Answer 4 · 2023-12-02T19:21:02.780000

Chunkwise memmap updates causing exploding memory usage only for last chunk

36 views Asked by Sharan Kumar At 02 December 2023 at 19:21

score 73 · Answer 5 · 2023-10-04T16:47:01.467000

How to perform operations on memory map without loading whole file into memory?

73 views Asked by Mike At 04 October 2023 at 16:47

score 58 · Answer 6 · 2023-07-12T15:46:25.873000

How do I apply changes to np.memmap with multiprocessing?

58 views Asked by Yun At 12 July 2023 at 15:46

score 222 · Answer 7 · 2023-05-04T21:11:09.710000

numpy.core._exceptions._ArrayMemoryError error when writing a large numpy memmap array with Rasterio

222 views Asked by Ufuk Can Bicici At 04 May 2023 at 21:11

score 161 · Answer 8 · 2023-04-25T03:56:02.267000

What's the best approach to extend memmap'ed Numpy or Dask arrays (bigger than available ram)?

161 views Asked by Pawel At 25 April 2023 at 03:56

score 90 · Answer 9 · 2023-04-24T20:39:25.257000

OpenCV imwrite function issue with very large, memory mapped arrays

90 views Asked by Ufuk Can Bicici At 24 April 2023 at 20:39

score 168 · Answer 10 · 2023-04-24T07:05:06.910000

Efficient way to retrieve data from multiple numpy memmap files and creating a new array

168 views Asked by ATYslh At 24 April 2023 at 07:05

score 417 · Answer 11 · 2023-01-14T13:41:01.570000

Numpy's memmap acting strangely?

417 views Asked by als7 At 14 January 2023 at 13:41

score 152 · Answer 12 · 2023-01-10T11:31:41.530000

Is there an optimized way to convert a numpy array to fortran order when using memmaps

152 views Asked by Tarick Welling At 10 January 2023 at 11:31

score 89 · Answer 13 · 2022-11-08T18:01:26.663000

Create a numpy memmap for a large Repeat Python Numpy memmap for binary file

89 views Asked by Michelle At 08 November 2022 at 18:01

score 178 · Answer 14 · 2022-09-02T20:44:27.857000

CuPy equivalent of numpy.memmap

178 views Asked by galpo At 02 September 2022 at 20:44

score 336 · Answer 15 · 2022-08-16T18:13:48.980000

Memory Error using np.unique on large array to get unique rows

336 views Asked by Naru1243 At 16 August 2022 at 18:13

score 142 · Answer 16 · 2022-07-10T12:44:48.813000

Performing ndimage.convolve on big numpy.memmap: Unable to allocate 56.0 GiB for an array

142 views Asked by aaxx At 10 July 2022 at 12:44

score 440 · Answer 17 · 2022-05-18T06:12:50.807000

Is it possible to save boolean numpy arrays on disk as 1bit per element with memmap support?

440 views Asked by Nagabhushan S N At 18 May 2022 at 06:12

score 356 · Answer 18 · 2022-04-30T13:35:31.347000

Looping through Dask array made of npy memmap files increases RAM without ever freeing it

356 views Asked by Tom Moritz At 30 April 2022 at 13:35

score 520 · Answer 19 · 2022-03-30T02:12:54.203000

accessing geospatial raster data with limited memory

520 views Asked by TylerSingleton At 30 March 2022 at 02:12

score 268 · Answer 20 · 2021-10-29T15:17:35.367000

Efficient way of using numpy memmap when training neural network with pytorch

268 views Asked by Nagabhushan S N At 29 October 2021 at 15:17

TechQA.

List Question

np.save and np.load with memmap mode returned OSError

Numpy memmap still using RAM instead of disk while doing vector operation

Load, process and save larger-than-memory array using dask

Chunkwise memmap updates causing exploding memory usage only for last chunk

How to perform operations on memory map without loading whole file into memory?

How do I apply changes to np.memmap with multiprocessing?

numpy.core._exceptions._ArrayMemoryError error when writing a large numpy memmap array with Rasterio

What's the best approach to extend memmap'ed Numpy or Dask arrays (bigger than available ram)?

OpenCV imwrite function issue with very large, memory mapped arrays

Efficient way to retrieve data from multiple numpy memmap files and creating a new array

Numpy's memmap acting strangely?

Is there an optimized way to convert a numpy array to fortran order when using memmaps

Create a numpy memmap for a large Repeat Python Numpy memmap for binary file

CuPy equivalent of numpy.memmap

Memory Error using np.unique on large array to get unique rows

Performing ndimage.convolve on big numpy.memmap: Unable to allocate 56.0 GiB for an array

Is it possible to save boolean numpy arrays on disk as 1bit per element with memmap support?

Looping through Dask array made of npy memmap files increases RAM without ever freeing it

accessing geospatial raster data with limited memory

Efficient way of using numpy memmap when training neural network with pytorch

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