Ryzen 3200G vega 8 graphics

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Re: Ryzen 3200G vega 8 graphics

Postby Joe_H » Mon Jun 08, 2020 4:53 am

They are all the same die for the iGPU portion, AMD just disables different numbers of shaders. The iGPU Vega 11 uses all shaders, the 8 and 10 use fewer.
Image

iMac 2.8 i7 12 GB smp8, Mac Pro 2.8 quad 12 GB smp6
MacBook Pro 2.9 i7 8 GB smp3
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Re: Ryzen 3200G vega 8 graphics

Postby mad_martn » Mon Jun 08, 2020 11:23 am

bruce wrote:True of false. You have an AMD device containing a Raven chip. Take a look at https://www.techpowerup.com/gpu-specs/amd-raven.g816 and you'll find a long list of devices which use EXACtLY that same chip and which identify themselves as 0x1002:0x15d8, (which in decimal is the same as: "vendor": 4098, "device": 5592 as shown in your post above.

AMD does not differentiate between those various devices and neither does FAH.

Would it make you happy if wie identified them all as Raven [Radeon RX Vega (various)]

idk if that matters, but Ryzen 3 3200G is not Raven its Picasso ... https://www.techpowerup.com/gpu-specs/amd-picasso.g869
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Re: Ryzen 3200G vega 8 graphics

Postby Joe_H » Mon Jun 08, 2020 1:56 pm

Probably doesn't matter, Picasso and Raven appear to be the codenames for the APU lines, no difference notable in the iGPU chiplet that gets installed on the carrier with the CPU chiplets inside the processor. Essentially AMD designed a GCN 5 GPU chip, continued making it in 14 nm for use in several generations of APUs as they did die shrinks on the CPU chips.
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Re: Ryzen 3200G vega 8 graphics

Postby mad_martn » Mon Jun 08, 2020 2:38 pm

maybe it matters for f@h cause it refused to start, while it apparently doesn't matter for darktable thats happy with the opencl implementation it finds ...
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Re: Ryzen 3200G vega 8 graphics

Postby Joe_H » Mon Jun 08, 2020 2:51 pm

Please understand, as long as you keep looking at a a non-issue you will not find the fix. Let me say this clearly, as I and Bruce have said - It does not matter for F@h - period. The problem is somewhere else.
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Re: Ryzen 3200G vega 8 graphics

Postby BobWilliams757 » Wed Jun 10, 2020 11:31 am

mad_martn wrote:maybe it matters for f@h cause it refused to start, while it apparently doesn't matter for darktable thats happy with the opencl implementation it finds ...


It might be worth asking if you have run GPU-Z to confirm the device ID. It seems some of the newer APU's identify differently, as in the case of Renoir devices. So in this instance it appears my initial assumption was likely wrong... Vega 8 in one may identify differently than Vega 8 in another. As pointed out by others, the ID might not impact the plain text description in FAH, as they vary, but having the right ID and whitelist match do matter.

And I want to see you get it folding to see how that upclocked Vega 8 runs! :biggrin:
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Re: Ryzen 3200G vega 8 graphics

Postby mad_martn » Thu Jun 11, 2020 9:40 pm

BobWilliams757 wrote:It might be worth asking if you have run GPU-Z to confirm the device ID.

gpu-z doesn't run on linux thats installed, but i got a Windows on USB stick ... here it is: https://www.techpowerup.com/gpuz/details/2d8km
BobWilliams757 wrote:And I want to see you get it folding to see how that upclocked Vega 8 runs! :biggrin:

i guess its not worth the effort, but anyway it should run as my other two machines with the same software setup but a Vega 56 and RX570, RX550 do run alright

(edit) ... and darktable can use opencl as well:
Code: Select all
0.018907 [opencl_init] opencl related configuration options:
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0.018950 [opencl_init] opencl_device_priority: '*/!0,*/*/*/!0,*'
0.018952 [opencl_init] opencl_mandatory_timeout: 200
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0.019086 [opencl_init] found opencl runtime library 'libOpenCL'
0.019104 [opencl_init] opencl library 'libOpenCL' found on your system and loaded
0.075499 [opencl_init] found 1 platform
0.075518 [opencl_init] found 1 device
0.075540 [opencl_init] device 0 `gfx902' supports image sizes of 16384 x 16384
0.075542 [opencl_init] device 0 `gfx902' allows GPU memory allocations of up to 1740MB
[opencl_init] device 0: gfx902
     GLOBAL_MEM_SIZE:          3584MB
     MAX_WORK_GROUP_SIZE:      256
     MAX_WORK_ITEM_DIMENSIONS: 3
     MAX_WORK_ITEM_SIZES:      [ 1024 1024 1024 ]
     DRIVER_VERSION:           3075.10 (PAL,HSAIL)
     DEVICE_VERSION:           OpenCL 2.0 AMD-APP (3075.10)
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0.281995 BUILD LOG:
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0.282001 [opencl_init] compiling program `lut3d.cl' ..
0.282121 [opencl_load_program] loaded cached binary program from file '/home/m4rtn/.cache/darktable/cached_kernels_for_gfx902_307510PALHSAIL/lut3d.cl.bin' MD5: 'ee10911e79b93ba7fd12b92e43d954cf'
0.282124 [opencl_load_program] successfully loaded program from '/usr/share/darktable/kernels/lut3d.cl' MD5: 'ee10911e79b93ba7fd12b92e43d954cf'
0.282523 [opencl_build_program] successfully built program
0.282529 [opencl_build_program] BUILD STATUS: 0
0.282530 BUILD LOG:
0.282531
0.282537 [opencl_init] compiling program `rgblevels.cl' ..
0.282615 [opencl_load_program] loaded cached binary program from file '/home/m4rtn/.cache/darktable/cached_kernels_for_gfx902_307510PALHSAIL/rgblevels.cl.bin' MD5: 'e247a5e0f47b55ae2de63d53bfba3cb7'
0.282618 [opencl_load_program] successfully loaded program from '/usr/share/darktable/kernels/rgblevels.cl' MD5: 'e247a5e0f47b55ae2de63d53bfba3cb7'
0.282907 [opencl_build_program] successfully built program
0.282912 [opencl_build_program] BUILD STATUS: 0
0.282914 BUILD LOG:
0.282915
0.282918 [opencl_init] kernel loading time: 0.0466
0.282923 [opencl_init] OpenCL successfully initialized.
0.282925 [opencl_init] here are the internal numbers and names of OpenCL devices available to darktable:
0.282926 [opencl_init]      0   'gfx902'
0.282928 [opencl_init] FINALLY: opencl is AVAILABLE on this system.
0.282929 [opencl_init] initial status of opencl enabled flag is ON.
0.282939 [opencl_create_kernel] successfully loaded kernel `blendop_mask_Lab' (0) for device 0
0.282941 [opencl_create_kernel] successfully loaded kernel `blendop_mask_RAW' (1) for device 0
0.282943 [opencl_create_kernel] successfully loaded kernel `blendop_mask_rgb' (2) for device 0
0.282945 [opencl_create_kernel] successfully loaded kernel `blendop_Lab' (3) for device 0
0.282947 [opencl_create_kernel] successfully loaded kernel `blendop_RAW' (4) for device 0
0.282948 [opencl_create_kernel] successfully loaded kernel `blendop_rgb' (5) for device 0
0.282950 [opencl_create_kernel] successfully loaded kernel `blendop_mask_tone_curve' (6) for device 0
0.282952 [opencl_create_kernel] successfully loaded kernel `blendop_set_mask' (7) for device 0
0.282954 [opencl_create_kernel] successfully loaded kernel `blendop_display_channel' (8) for device 0
0.282958 [opencl_create_kernel] successfully loaded kernel `zero' (9) for device 0
0.282960 [opencl_create_kernel] successfully loaded kernel `splat' (10) for device 0
0.282962 [opencl_create_kernel] successfully loaded kernel `blur_line' (11) for device 0
0.282964 [opencl_create_kernel] successfully loaded kernel `blur_line_z' (12) for device 0
0.282966 [opencl_create_kernel] successfully loaded kernel `slice' (13) for device 0
0.282968 [opencl_create_kernel] successfully loaded kernel `slice_to_output' (14) for device 0
0.282974 [opencl_create_kernel] successfully loaded kernel `gaussian_column_1c' (15) for device 0
0.282976 [opencl_create_kernel] successfully loaded kernel `gaussian_transpose_1c' (16) for device 0
0.282977 [opencl_create_kernel] successfully loaded kernel `gaussian_column_4c' (17) for device 0
0.282979 [opencl_create_kernel] successfully loaded kernel `gaussian_transpose_4c' (18) for device 0
0.282982 [opencl_create_kernel] successfully loaded kernel `interpolation_resample' (19) for device 0
0.282985 [opencl_create_kernel] successfully loaded kernel `pad_input' (20) for device 0
0.282987 [opencl_create_kernel] successfully loaded kernel `gauss_expand' (21) for device 0
0.282989 [opencl_create_kernel] successfully loaded kernel `gauss_reduce' (22) for device 0
0.282994 [opencl_create_kernel] successfully loaded kernel `laplacian_assemble' (23) for device 0
0.282996 [opencl_create_kernel] successfully loaded kernel `process_curve' (24) for device 0
0.282998 [opencl_create_kernel] successfully loaded kernel `write_back' (25) for device 0
0.283001 [opencl_create_kernel] successfully loaded kernel `dwt_add_img_to_layer' (26) for device 0
0.283002 [opencl_create_kernel] successfully loaded kernel `dwt_subtract_layer' (27) for device 0
0.283004 [opencl_create_kernel] successfully loaded kernel `dwt_hat_transform_col' (28) for device 0
0.283006 [opencl_create_kernel] successfully loaded kernel `dwt_hat_transform_row' (29) for device 0
0.283007 [opencl_create_kernel] successfully loaded kernel `dwt_init_buffer' (30) for device 0
0.283011 [opencl_create_kernel] successfully loaded kernel `colorspaces_transform_lab_to_rgb_matrix' (31) for device 0
0.283012 [opencl_create_kernel] successfully loaded kernel `colorspaces_transform_rgb_matrix_to_lab' (32) for device 0
0.283014 [opencl_create_kernel] successfully loaded kernel `colorspaces_transform_rgb_matrix_to_rgb' (33) for device 0
0.283017 [opencl_create_kernel] successfully loaded kernel `guided_filter_split_rgb_image' (34) for device 0
0.283019 [opencl_create_kernel] successfully loaded kernel `guided_filter_box_mean_x' (35) for device 0
0.283020 [opencl_create_kernel] successfully loaded kernel `guided_filter_box_mean_y' (36) for device 0
0.283022 [opencl_create_kernel] successfully loaded kernel `guided_filter_covariances' (37) for device 0
0.283024 [opencl_create_kernel] successfully loaded kernel `guided_filter_variances' (38) for device 0
0.283026 [opencl_create_kernel] successfully loaded kernel `guided_filter_update_covariance' (39) for device 0
0.283028 [opencl_create_kernel] successfully loaded kernel `guided_filter_solve' (40) for device 0
0.283029 [opencl_create_kernel] successfully loaded kernel `guided_filter_generate_result' (41) for device 0
0.283042 [opencl_priorities] these are your device priorities:
0.283043 [opencl_priorities]       image   preview   export   thumbs   preview2
0.283045 [opencl_priorities]      0   -1   0   0   -1
0.283046 [opencl_priorities] show if opencl use is mandatory for a given pixelpipe:
0.283047 [opencl_priorities]       image   preview   export   thumbs   preview2
0.283049 [opencl_priorities]      0   0   0   0   0
0.283053 [opencl_synchronization_timeout] synchronization timeout set to 200
0,350728 [opencl_create_kernel] successfully loaded kernel `ashift_bilinear' (42) for device 0
0,350743 [opencl_create_kernel] successfully loaded kernel `ashift_bicubic' (43) for device 0
0,350746 [opencl_create_kernel] successfully loaded kernel `ashift_lanczos2' (44) for device 0
0,350749 [opencl_create_kernel] successfully loaded kernel `ashift_lanczos3' (45) for device 0
0,351427 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_precondition' (46) for device 0
0,351432 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_precondition_v2' (47) for device 0
0,351435 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_precondition_Y0U0V0' (48) for device 0
0,351437 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_init' (49) for device 0
0,351439 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_dist' (50) for device 0
0,351441 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_horiz' (51) for device 0
0,351442 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_vert' (52) for device 0
0,351444 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_accu' (53) for device 0
0,351446 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_finish' (54) for device 0
0,351448 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_finish_v2' (55) for device 0
0,351450 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_backtransform' (56) for device 0
0,351452 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_backtransform_v2' (57) for device 0
0,351460 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_backtransform_Y0U0V0' (58) for device 0
0,351462 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_decompose' (59) for device 0
0,351464 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_synthesize' (60) for device 0
0,351466 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_reduce_first' (61) for device 0
0,351468 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_reduce_second' (62) for device 0
0,352118 [opencl_create_kernel] successfully loaded kernel `borders_fill' (63) for device 0
0,352862 [opencl_create_kernel] successfully loaded kernel `retouch_clear_alpha' (64) for device 0
0,352869 [opencl_create_kernel] successfully loaded kernel `retouch_copy_alpha' (65) for device 0
0,352871 [opencl_create_kernel] successfully loaded kernel `retouch_copy_buffer_to_buffer' (66) for device 0
0,352873 [opencl_create_kernel] successfully loaded kernel `retouch_copy_buffer_to_image' (67) for device 0
0,352875 [opencl_create_kernel] successfully loaded kernel `retouch_fill' (68) for device 0
0,352877 [opencl_create_kernel] successfully loaded kernel `retouch_copy_image_to_buffer_masked' (69) for device 0
0,352879 [opencl_create_kernel] successfully loaded kernel `retouch_copy_buffer_to_buffer_masked' (70) for device 0
0,352881 [opencl_create_kernel] successfully loaded kernel `retouch_image_rgb2lab' (71) for device 0
0,352883 [opencl_create_kernel] successfully loaded kernel `retouch_image_lab2rgb' (72) for device 0
0,352885 [opencl_create_kernel] successfully loaded kernel `retouch_copy_mask_to_alpha' (73) for device 0
0,353552 [opencl_create_kernel] successfully loaded kernel `colisa' (74) for device 0
0,354219 [opencl_create_kernel] successfully loaded kernel `filmicrgb_split' (75) for device 0
0,354224 [opencl_create_kernel] successfully loaded kernel `filmicrgb_chroma' (76) for device 0
0,355049 [opencl_create_kernel] successfully loaded kernel `rgbcurve' (77) for device 0
0,355958 [opencl_create_kernel] successfully loaded kernel `clip_rotate_bilinear' (78) for device 0
0,355964 [opencl_create_kernel] successfully loaded kernel `clip_rotate_bicubic' (79) for device 0
0,355967 [opencl_create_kernel] successfully loaded kernel `clip_rotate_lanczos2' (80) for device 0
0,355969 [opencl_create_kernel] successfully loaded kernel `clip_rotate_lanczos3' (81) for device 0
0,356642 [opencl_create_kernel] successfully loaded kernel `monochrome_filter' (82) for device 0
0,356647 [opencl_create_kernel] successfully loaded kernel `monochrome' (83) for device 0
0,357347 [opencl_create_kernel] successfully loaded kernel `highlights_1f_clip' (84) for device 0
0,357353 [opencl_create_kernel] successfully loaded kernel `highlights_1f_lch_bayer' (85) for device 0
0,357355 [opencl_create_kernel] successfully loaded kernel `highlights_1f_lch_xtrans' (86) for device 0
0,357357 [opencl_create_kernel] successfully loaded kernel `highlights_4f_clip' (87) for device 0
0,359362 [opencl_create_kernel] successfully loaded kernel `clip_and_zoom_demosaic_half_size' (88) for device 0
0,359368 [opencl_create_kernel] successfully loaded kernel `ppg_demosaic_green' (89) for device 0
0,359370 [opencl_create_kernel] successfully loaded kernel `green_equilibration_lavg' (90) for device 0
0,359372 [opencl_create_kernel] successfully loaded kernel `green_equilibration_favg_reduce_first' (91) for device 0
0,359375 [opencl_create_kernel] successfully loaded kernel `green_equilibration_favg_reduce_second' (92) for device 0
0,359377 [opencl_create_kernel] successfully loaded kernel `green_equilibration_favg_apply' (93) for device 0
0,359379 [opencl_create_kernel] successfully loaded kernel `pre_median' (94) for device 0
0,359381 [opencl_create_kernel] successfully loaded kernel `ppg_demosaic_redblue' (95) for device 0
0,359382 [opencl_create_kernel] successfully loaded kernel `clip_and_zoom' (96) for device 0
0,359384 [opencl_create_kernel] successfully loaded kernel `border_interpolate' (97) for device 0
0,359386 [opencl_create_kernel] successfully loaded kernel `color_smoothing' (98) for device 0
0,359393 [opencl_create_kernel] successfully loaded kernel `passthrough_monochrome' (99) for device 0
0,359396 [opencl_create_kernel] successfully loaded kernel `clip_and_zoom_demosaic_passthrough_monochrome' (100) for device 0
0,359398 [opencl_create_kernel] successfully loaded kernel `vng_border_interpolate' (101) for device 0
0,359400 [opencl_create_kernel] successfully loaded kernel `vng_lin_interpolate' (102) for device 0
0,359402 [opencl_create_kernel] successfully loaded kernel `clip_and_zoom_demosaic_third_size_xtrans' (103) for device 0
0,359404 [opencl_create_kernel] successfully loaded kernel `vng_green_equilibrate' (104) for device 0
0,359406 [opencl_create_kernel] successfully loaded kernel `vng_interpolate' (105) for device 0
0,359408 [opencl_create_kernel] successfully loaded kernel `markesteijn_initial_copy' (106) for device 0
0,359410 [opencl_create_kernel] successfully loaded kernel `markesteijn_green_minmax' (107) for device 0
0,359412 [opencl_create_kernel] successfully loaded kernel `markesteijn_interpolate_green' (108) for device 0
0,359414 [opencl_create_kernel] successfully loaded kernel `markesteijn_solitary_green' (109) for device 0
0,359416 [opencl_create_kernel] successfully loaded kernel `markesteijn_recalculate_green' (110) for device 0
0,359418 [opencl_create_kernel] successfully loaded kernel `markesteijn_red_and_blue' (111) for device 0
0,359420 [opencl_create_kernel] successfully loaded kernel `markesteijn_interpolate_twoxtwo' (112) for device 0
0,359422 [opencl_create_kernel] successfully loaded kernel `markesteijn_convert_yuv' (113) for device 0
0,359424 [opencl_create_kernel] successfully loaded kernel `markesteijn_differentiate' (114) for device 0
0,359425 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_threshold' (115) for device 0
0,359427 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_set' (116) for device 0
0,359429 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_sum' (117) for device 0
0,359432 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_max' (118) for device 0
0,359433 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_max_corr' (119) for device 0
0,359436 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_quench' (120) for device 0
0,359437 [opencl_create_kernel] successfully loaded kernel `markesteijn_zero' (121) for device 0
0,359439 [opencl_create_kernel] successfully loaded kernel `markesteijn_accu' (122) for device 0
0,359441 [opencl_create_kernel] successfully loaded kernel `markesteijn_final' (123) for device 0
0,360109 [opencl_create_kernel] successfully loaded kernel `eaw_decompose' (124) for device 0
0,360114 [opencl_create_kernel] successfully loaded kernel `eaw_synthesize' (125) for device 0
0,361193 [opencl_create_kernel] successfully loaded kernel `invert_1f' (126) for device 0
0,361199 [opencl_create_kernel] successfully loaded kernel `invert_4f' (127) for device 0
0,362524 [opencl_create_kernel] successfully loaded kernel `rgblevels' (128) for device 0
0,363866 [opencl_create_kernel] successfully loaded kernel `colormapping_histogram' (129) for device 0
0,363871 [opencl_create_kernel] successfully loaded kernel `colormapping_mapping' (130) for device 0
0,364545 [opencl_create_kernel] successfully loaded kernel `tonecurve' (131) for device 0
0,366096 [opencl_create_kernel] successfully loaded kernel `lens_distort_bilinear' (132) for device 0
0,366102 [opencl_create_kernel] successfully loaded kernel `lens_distort_bicubic' (133) for device 0
0,366104 [opencl_create_kernel] successfully loaded kernel `lens_distort_lanczos2' (134) for device 0
0,366106 [opencl_create_kernel] successfully loaded kernel `lens_distort_lanczos3' (135) for device 0
0,366108 [opencl_create_kernel] successfully loaded kernel `lens_vignette' (136) for device 0
0,405245 [opencl_create_kernel] successfully loaded kernel `colorcorrection' (137) for device 0
0,406043 [opencl_create_kernel] successfully loaded kernel `shadows_highlights_mix' (138) for device 0
0,407405 [opencl_create_kernel] successfully loaded kernel `filmic' (139) for device 0
0,409007 [opencl_create_kernel] successfully loaded kernel `vibrance' (140) for device 0
0,409684 [opencl_create_kernel] successfully loaded kernel `splittoning' (141) for device 0
0,410482 [opencl_create_kernel] successfully loaded kernel `rawoverexposed_mark_cfa' (142) for device 0
0,410488 [opencl_create_kernel] successfully loaded kernel `rawoverexposed_mark_solid' (143) for device 0
0,410490 [opencl_create_kernel] successfully loaded kernel `rawoverexposed_falsecolor' (144) for device 0
0,411838 [opencl_create_kernel] successfully loaded kernel `colorcontrast' (145) for device 0
0,412522 [opencl_create_kernel] successfully loaded kernel `lowlight' (146) for device 0
0,413427 [opencl_create_kernel] successfully loaded kernel `zonesystem' (147) for device 0
0,414103 [opencl_create_kernel] successfully loaded kernel `bloom_threshold' (148) for device 0
0,414109 [opencl_create_kernel] successfully loaded kernel `bloom_hblur' (149) for device 0
0,414111 [opencl_create_kernel] successfully loaded kernel `bloom_vblur' (150) for device 0
0,414113 [opencl_create_kernel] successfully loaded kernel `bloom_mix' (151) for device 0
0,415455 [opencl_create_kernel] successfully loaded kernel `pixelmax_first' (152) for device 0
0,415460 [opencl_create_kernel] successfully loaded kernel `pixelmax_second' (153) for device 0
0,415462 [opencl_create_kernel] successfully loaded kernel `global_tonemap_reinhard' (154) for device 0
0,415464 [opencl_create_kernel] successfully loaded kernel `global_tonemap_drago' (155) for device 0
0,415466 [opencl_create_kernel] successfully loaded kernel `global_tonemap_filmic' (156) for device 0
0,416139 [opencl_create_kernel] successfully loaded kernel `colorchecker' (157) for device 0
0,417033 [opencl_create_kernel] successfully loaded kernel `sharpen_hblur' (158) for device 0
0,417039 [opencl_create_kernel] successfully loaded kernel `sharpen_vblur' (159) for device 0
0,417041 [opencl_create_kernel] successfully loaded kernel `sharpen_mix' (160) for device 0
0,417783 [opencl_create_kernel] successfully loaded kernel `colorout' (161) for device 0
0,418459 [opencl_create_kernel] successfully loaded kernel `levels' (162) for device 0
0,419133 [opencl_create_kernel] successfully loaded kernel `profilegamma' (163) for device 0
0,419139 [opencl_create_kernel] successfully loaded kernel `profilegamma_log' (164) for device 0
0,421304 [opencl_create_kernel] successfully loaded kernel `nlmeans_init' (165) for device 0
0,421310 [opencl_create_kernel] successfully loaded kernel `nlmeans_dist' (166) for device 0
0,421312 [opencl_create_kernel] successfully loaded kernel `nlmeans_horiz' (167) for device 0
0,421314 [opencl_create_kernel] successfully loaded kernel `nlmeans_vert' (168) for device 0
0,421316 [opencl_create_kernel] successfully loaded kernel `nlmeans_accu' (169) for device 0
0,421317 [opencl_create_kernel] successfully loaded kernel `nlmeans_finish' (170) for device 0
0,421977 [opencl_create_kernel] successfully loaded kernel `flip' (171) for device 0
0,423533 [opencl_create_kernel] successfully loaded kernel `colorin_unbound' (172) for device 0
0,423539 [opencl_create_kernel] successfully loaded kernel `colorin_clipping' (173) for device 0
0,424219 [opencl_create_kernel] successfully loaded kernel `lut3d_tetrahedral' (174) for device 0
0,424224 [opencl_create_kernel] successfully loaded kernel `lut3d_trilinear' (175) for device 0
0,424226 [opencl_create_kernel] successfully loaded kernel `lut3d_pyramid' (176) for device 0
0,424228 [opencl_create_kernel] successfully loaded kernel `lut3d_none' (177) for device 0
0,424912 [opencl_create_kernel] successfully loaded kernel `channelmixer' (178) for device 0
0,425984 [opencl_create_kernel] successfully loaded kernel `soften_overexposed' (179) for device 0
0,425989 [opencl_create_kernel] successfully loaded kernel `soften_hblur' (180) for device 0
0,425991 [opencl_create_kernel] successfully loaded kernel `soften_vblur' (181) for device 0
0,425998 [opencl_create_kernel] successfully loaded kernel `soften_mix' (182) for device 0
0,428014 [opencl_create_kernel] successfully loaded kernel `warp_kernel' (183) for device 0
0,428706 [opencl_create_kernel] successfully loaded kernel `basecurve_lut' (184) for device 0
0,428712 [opencl_create_kernel] successfully loaded kernel `basecurve_zero' (185) for device 0
0,428714 [opencl_create_kernel] successfully loaded kernel `basecurve_legacy_lut' (186) for device 0
0,428717 [opencl_create_kernel] successfully loaded kernel `basecurve_compute_features' (187) for device 0
0,428719 [opencl_create_kernel] successfully loaded kernel `basecurve_blur_h' (188) for device 0
0,428721 [opencl_create_kernel] successfully loaded kernel `basecurve_blur_v' (189) for device 0
0,428723 [opencl_create_kernel] successfully loaded kernel `basecurve_expand' (190) for device 0
0,428725 [opencl_create_kernel] successfully loaded kernel `basecurve_reduce' (191) for device 0
0,428727 [opencl_create_kernel] successfully loaded kernel `basecurve_detail' (192) for device 0
0,428729 [opencl_create_kernel] successfully loaded kernel `basecurve_adjust_features' (193) for device 0
0,428731 [opencl_create_kernel] successfully loaded kernel `basecurve_blend_gaussian' (194) for device 0
0,428733 [opencl_create_kernel] successfully loaded kernel `basecurve_blend_laplacian' (195) for device 0
0,428735 [opencl_create_kernel] successfully loaded kernel `basecurve_normalize' (196) for device 0
0,428737 [opencl_create_kernel] successfully loaded kernel `basecurve_reconstruct' (197) for device 0
0,428739 [opencl_create_kernel] successfully loaded kernel `basecurve_finalize' (198) for device 0
0,432622 [opencl_create_kernel] successfully loaded kernel `hazeremoval_transision_map' (199) for device 0
0,432636 [opencl_create_kernel] successfully loaded kernel `hazeremoval_box_min_x' (200) for device 0
0,432638 [opencl_create_kernel] successfully loaded kernel `hazeremoval_box_min_y' (201) for device 0
0,432640 [opencl_create_kernel] successfully loaded kernel `hazeremoval_box_max_x' (202) for device 0
0,432642 [opencl_create_kernel] successfully loaded kernel `hazeremoval_box_max_y' (203) for device 0
0,432644 [opencl_create_kernel] successfully loaded kernel `hazeremoval_dehaze' (204) for device 0
0,433428 [opencl_create_kernel] successfully loaded kernel `overexposed' (205) for device 0
0,434824 [opencl_create_kernel] successfully loaded kernel `relight' (206) for device 0
0,435585 [opencl_create_kernel] successfully loaded kernel `velvia' (207) for device 0
0,436995 [opencl_create_kernel] successfully loaded kernel `graduatedndp' (208) for device 0
0,437001 [opencl_create_kernel] successfully loaded kernel `graduatedndm' (209) for device 0
0,438891 [opencl_create_kernel] successfully loaded kernel `highpass_invert' (210) for device 0
0,438897 [opencl_create_kernel] successfully loaded kernel `highpass_hblur' (211) for device 0
0,438900 [opencl_create_kernel] successfully loaded kernel `highpass_vblur' (212) for device 0
0,438901 [opencl_create_kernel] successfully loaded kernel `highpass_mix' (213) for device 0
0,439574 [opencl_create_kernel] successfully loaded kernel `basicadj' (214) for device 0
0,440952 [opencl_create_kernel] successfully loaded kernel `colorzones' (215) for device 0
0,440959 [opencl_create_kernel] successfully loaded kernel `colorzones_v3' (216) for device 0
0,441799 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_zero' (217) for device 0
0,441806 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_splat' (218) for device 0
0,441808 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_blur_line' (219) for device 0
0,441810 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_slice' (220) for device 0
0,442480 [opencl_create_kernel] successfully loaded kernel `rawprepare_1f' (221) for device 0
0,442486 [opencl_create_kernel] successfully loaded kernel `rawprepare_1f_unnormalized' (222) for device 0
0,442488 [opencl_create_kernel] successfully loaded kernel `rawprepare_4f' (223) for device 0
0,443208 [opencl_create_kernel] successfully loaded kernel `colorbalance' (224) for device 0
0,443214 [opencl_create_kernel] successfully loaded kernel `colorbalance_lgg' (225) for device 0
0,443216 [opencl_create_kernel] successfully loaded kernel `colorbalance_cdl' (226) for device 0
0,444808 [opencl_create_kernel] successfully loaded kernel `colorize' (227) for device 0
0,445486 [opencl_create_kernel] successfully loaded kernel `vignette' (228) for device 0
0,446202 [opencl_create_kernel] successfully loaded kernel `exposure' (229) for device 0
0,446922 [opencl_create_kernel] successfully loaded kernel `lowpass_mix' (230) for device 0
0,447843 [opencl_create_kernel] successfully loaded kernel `whitebalance_4f' (231) for device 0
0,447850 [opencl_create_kernel] successfully loaded kernel `whitebalance_1f' (232) for device 0
0,447853 [opencl_create_kernel] successfully loaded kernel `whitebalance_1f_xtrans' (233) for device 0
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Re: Ryzen 3200G vega 8 graphics

Postby toTOW » Fri Jun 12, 2020 9:36 pm

Did you search on the forums and try something like this : viewtopic.php?f=81&t=33353 ?

Linus Tech Tips guide is great too : https://linustechtips.com/main/topic/10 ... lding-rig/
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Re: Ryzen 3200G vega 8 graphics

Postby mad_martn » Sat Jun 13, 2020 9:19 pm

toTOW wrote:Did you search on the forums and try something like this : viewtopic.php?f=81&t=33353 ?

yes, asked google and already had a systemd service unit for the missing group fix, thats how i configured my other up and running machines too

i found my fault now, fahclient had group entries but wasn't in the render group: i wrote fahlient in the render group entry in /etc/group instead of fahclient ... :o :roll:

now its running a 11760 WU with estimated PPD of 78842

thanks to all
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Re: Ryzen 3200G vega 8 graphics

Postby JimboPalmer » Sat Jun 13, 2020 10:34 pm

And Thank You for telling us what really worked, so we can help others.
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Re: Ryzen 3200G vega 8 graphics

Postby Joe_H » Sat Jun 13, 2020 10:52 pm

Those typos will get you every time :oops: ( speaking as one who has been bitten by a number of my own )
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Re: Ryzen 3200G vega 8 graphics

Postby BobWilliams757 » Sun Jun 14, 2020 2:49 am

mad_martn wrote:
toTOW wrote:Did you search on the forums and try something like this : viewtopic.php?f=81&t=33353 ?

yes, asked google and already had a systemd service unit for the missing group fix, thats how i configured my other up and running machines too

i found my fault now, fahclient had group entries but wasn't in the render group: i wrote fahlient in the render group entry in /etc/group instead of fahclient ... :o :roll:

now its running a 11760 WU with estimated PPD of 78842

thanks to all


Please post some updates here and there on your PPD returns. As another APU owner, it's just interesting to me the path they chose going to Vega 8 on some of the newer chips, but bumping clock speeds up a bit. I suspect at some point they might do the same with the Vega 11 onboard, but only time will tell. If the 3200 is anything like my 2400, you will hardly notice it's folding on GPU and the temps and power consumption stay down low.

For reference, that's only a little bit slower than my 2400G was on the same project, using DDR4-3200 memory. Bumping GPU clocks up netted me 11-13K PPD more on the same project. From what I've seen the Vega 8 will reach almost the same clock speeds as the 11 does, so it should be there for the taking if you want.

And wait for the smaller atom count projects that exist out there, and that little APU will surprise you. Though I'm currently running one small atom count that has a dismal PPD return, that is the exception. Usually the smaller ones that drop returns on the mid and high end cards are easy picking for the APU, and I've seen PPD returns as high as 165+ K PPD. Fairly amazing for such low power draw.
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Re: Ryzen 3200G vega 8 graphics

Postby mad_martn » Sun Jun 14, 2020 9:07 pm

BobWilliams757 wrote:
mad_martn wrote:now its running a 11760 WU with estimated PPD of 78842


Please post some updates here and there on your PPD returns.

.... Fairly amazing for such low power draw.

today it got another 11760, another 79k estimated PPD - while my RX550 gets about 90k on the same project

yeah power draw seems quite low, idle:
Code: Select all
root@nostromo:~# sensors
k10temp-pci-00c3
Adapter: PCI adapter
Vcore:       713.00 mV
Vsoc:          1.09 V 
Tdie:         +29.2°C 
Tctl:         +29.2°C 
Icore:         7.00 A 
Isoc:          3.75 A 

...


folding on GPU:
Code: Select all
root@nostromo:~# sensors
k10temp-pci-00c3
Adapter: PCI adapter
Vcore:       713.00 mV
Vsoc:          1.04 V 
Tdie:         +47.0°C 
Tctl:         +47.0°C 
Icore:         7.00 A 
Isoc:         17.00 A 

...


everything at stock speeds, running 2x8GB Crucial Ballistix DDR4-3200
its built into a Silverstone Milo ML03 case sitting in a HiFi rack, cooler is a left over Wraith Prism without the prism fan but a tiny 70x10mm one that hardly fits into the case ...
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Re: Ryzen 3200G vega 8 graphics

Postby mad_martn » Mon Jun 15, 2020 9:21 pm

mad_martn wrote:
BobWilliams757 wrote:
Please post some updates here and there on your PPD returns.

today it got another 11760, another 79k estimated PPD

WU 14561, 95k estimated PPD
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Re: Ryzen 3200G vega 8 graphics

Postby BobWilliams757 » Wed Jun 17, 2020 2:02 am

mad_martn wrote:
mad_martn wrote:
BobWilliams757 wrote:
Please post some updates here and there on your PPD returns.

today it got another 11760, another 79k estimated PPD

WU 14561, 95k estimated PPD


I haven't run any of those Projects yet, but with a higher atom count it seems like a solid PPD for the APU.

Here and there I see "freak" projects that perform better or worse and outside of the norm, but I guess the same is essentially true with dedicated cards. I use HFM to monitor returns and try to figure it out, not that it always actually helps me figure it out. :lol: But the trends are there, just exceptions to the rule now and then.

I'm glad you got it working. They actually return quite well for the power draw.
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