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Readback depth from GPU picking (#1752)
* gpu picking in the viewer picks up depth now * WebGL workarounds
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,15 @@ | ||
// Reads the content of a texture and writes it out as is. | ||
// | ||
// This is needed e.g. on WebGL to convert from a depth format to a regular color format that can be read back to the CPU. | ||
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||
#import <./types.wgsl> | ||
#import <./global_bindings.wgsl> | ||
#import <./screen_triangle_vertex.wgsl> | ||
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||
@group(1) @binding(0) | ||
var tex: texture_2d<f32>; | ||
|
||
@fragment | ||
fn main(in: FragmentInput) -> @location(0) Vec4 { | ||
return textureSample(tex, nearest_sampler, in.texcoord); | ||
} |
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Rust Benchmark
arrow2/size_bytes/primitive/rows=10000/instances=100/array
151283
ns/iter (± 1110
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ns/iter (± 918
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arrow2/size_bytes/primitive/rows=10000/instances=100/vec
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arrow2/size_bytes/primitive/rows=10000/instances=100/vec/erased
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ns/iter (± 49
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ns/iter (± 17
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arrow2/size_bytes/struct/rows=10000/instances=100/array
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ns/iter (± 3490
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arrow2/size_bytes/struct/rows=10000/instances=100/vec
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ns/iter (± 11
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ns/iter (± 9
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arrow2/size_bytes/struct/rows=10000/instances=100/vec/erased
17738
ns/iter (± 53
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ns/iter (± 31
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arrow2/size_bytes/struct_large/rows=10000/instances=100/array
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ns/iter (± 455125
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ns/iter (± 311267
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arrow2/size_bytes/struct_large/rows=10000/instances=100/vec
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ns/iter (± 15
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ns/iter (± 13
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arrow2/size_bytes/struct_large/rows=10000/instances=100/vec/erased
17739
ns/iter (± 44
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ns/iter (± 60
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arrow2/erased_clone/primitive/rows=10000/instances=100/cell/arc_erased
789253
ns/iter (± 1686
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ns/iter (± 2196
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arrow2/erased_clone/primitive/rows=10000/instances=100/cell/wrapped_in_arc
195448
ns/iter (± 625
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ns/iter (± 1569
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arrow2/erased_clone/primitive/rows=10000/instances=100/array
740940
ns/iter (± 2893
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ns/iter (± 2279
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ns/iter (± 401
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arrow2/erased_clone/struct/rows=10000/instances=100/cell/arc_erased
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ns/iter (± 127018
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287869
ns/iter (± 663
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arrow2/erased_clone/struct/rows=10000/instances=100/array
4234502
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ns/iter (± 78409
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arrow2/erased_clone/struct/rows=10000/instances=100/array/downcast_first
3571220
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arrow2/erased_clone/struct/rows=10000/instances=100/vec/full_copy
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127479
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ns/iter (± 292
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arrow2/erased_clone/struct_large/rows=10000/instances=100/cell/arc_erased
47856426
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ns/iter (± 338387
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arrow2/erased_clone/struct_large/rows=10000/instances=100/cell/wrapped_in_arc
167118
ns/iter (± 426
)168731
ns/iter (± 837
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arrow2/erased_clone/struct_large/rows=10000/instances=100/array
46951163
ns/iter (± 422407
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ns/iter (± 382216
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arrow2/erased_clone/struct_large/rows=10000/instances=100/array/downcast_first
44645934
ns/iter (± 433245
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ns/iter (± 355142
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arrow2/erased_clone/struct_large/rows=10000/instances=100/vec/full_copy
4483235
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ns/iter (± 142636
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127021
ns/iter (± 310
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ns/iter (± 271
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arrow2_convert/serialize/primitive/instances=100000/arrow2_convert
416608
ns/iter (± 1008
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ns/iter (± 1298
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arrow2_convert/serialize/primitive/instances=100000/arrow2/from_values
19735
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arrow2_convert/serialize/primitive/instances=100000/arrow2/from_vec
19666
ns/iter (± 110
)19498
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)1.01
arrow2_convert/deserialize/primitive/instances=100000/arrow2_convert
96876
ns/iter (± 205
)96377
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arrow2_convert/deserialize/primitive/instances=100000/arrow2/validity_checks
159726
ns/iter (± 514
)163376
ns/iter (± 480
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arrow2_convert/deserialize/primitive/instances=100000/arrow2/validity_bypass
58632
ns/iter (± 241
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ns/iter (± 148
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datastore/num_rows=1000/num_instances=1000/packed=false/insert/default
10763489
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datastore/num_rows=1000/num_instances=1000/packed=false/insert/bucketsz=0
13018134
ns/iter (± 738578
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ns/iter (± 422964
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datastore/num_rows=1000/num_instances=1000/packed=false/insert/bucketsz=2
12651480
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ns/iter (± 527432
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datastore/num_rows=1000/num_instances=1000/packed=false/insert/bucketsz=32
11134486
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datastore/num_rows=1000/num_instances=1000/packed=false/insert/bucketsz=2048
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datastore/num_rows=1000/num_instances=1000/packed=true/insert/bucketsz=2
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ns/iter (± 596166
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10970687
ns/iter (± 348299
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ns/iter (± 411639
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datastore/num_rows=1000/num_instances=1000/packed=true/insert/bucketsz=2048
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at/default
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at/bucketsz=0
1834
ns/iter (± 5
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at/bucketsz=2
1806
ns/iter (± 10
)1821
ns/iter (± 5
)0.99
datastore/num_rows=1000/num_instances=1000/packed=false/latest_at/bucketsz=32
1798
ns/iter (± 6
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ns/iter (± 4
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at/bucketsz=2048
1802
ns/iter (± 9
)1795
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datastore/num_rows=1000/num_instances=1000/packed=true/latest_at/default
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ns/iter (± 20
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datastore/num_rows=1000/num_instances=1000/packed=true/latest_at/bucketsz=0
1827
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)1821
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datastore/num_rows=1000/num_instances=1000/packed=true/latest_at/bucketsz=2
1829
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datastore/num_rows=1000/num_instances=1000/packed=true/latest_at/bucketsz=32
1821
ns/iter (± 3
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ns/iter (± 2
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at_missing/primary/default
280
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434
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281
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at_missing/secondaries/bucketsz=32
452
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at_missing/primary/bucketsz=2048
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datastore/num_rows=1000/num_instances=1000/packed=false/latest_at_missing/secondaries/bucketsz=2048
435
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280
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434
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vector_ops/sort/instances=10000/smallvec/n=4
12495
ns/iter (± 28
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vector_ops/sort/instances=10000/tinyvec/n=4
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ns/iter (± 25
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vector_ops/sort/instances=10000/vec
9646
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vector_ops/split_off/instances=10000/smallvec/n=4/manual
5540
ns/iter (± 14
)5565
ns/iter (± 63
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vector_ops/split_off/instances=10000/tinyvec/n=4
2725
ns/iter (± 29
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ns/iter (± 24
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vector_ops/split_off/instances=10000/tinyvec/n=4/manual
2751
ns/iter (± 24
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vector_ops/split_off/instances=10000/vec
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vector_ops/split_off/instances=10000/vec/manual
2729
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vector_ops/swap/instances=10000/smallvec/n=4
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18298
ns/iter (± 56
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vector_ops/swap/instances=10000/vec
12326
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vector_ops/swap_opt/instances=10000/smallvec/n=4
42721
ns/iter (± 128
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vector_ops/swap_opt/instances=10000/tinyvec/n=4
28740
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vector_ops/swap_opt/instances=10000/vec
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mono_points_arrow/generate_messages
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mono_points_arrow/encode_total
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mono_points_arrow/decode_log_msg
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mono_points_arrow/decode_total
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mono_points_arrow_batched/generate_messages
9744786
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mono_points_arrow_batched/encode_log_msg
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mono_points_arrow_batched/decode_log_msg
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19901030
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284872
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7726
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339351
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batch_points_arrow/decode_message_bundles
3003
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347807
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arrow_batch_points/insert
3059392
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16378
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43671
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tuid/Tuid::random
34
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