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973037be6a
This PR changes the empty collection factory call to Python literals:
- `list()` -> `[]`
- `tuple()` -> `()`
- `dict()` -> `{}`
The Python literals are more performant and safer. For example, the bytecode for building an empty dictionary:
```bash
$ python3 -m dis - <<EOS
import collections
d1 = {}
d2 = dict()
dict = collections.OrderedDict
d3 = dict()
EOS
```
```text
0 0 RESUME 0
1 2 LOAD_CONST 0 (0)
4 LOAD_CONST 1 (None)
6 IMPORT_NAME 0 (collections)
8 STORE_NAME 0 (collections)
3 10 BUILD_MAP 0
12 STORE_NAME 1 (d1)
4 14 PUSH_NULL
16 LOAD_NAME 2 (dict)
18 CALL 0
26 STORE_NAME 3 (d2)
6 28 LOAD_NAME 0 (collections)
30 LOAD_ATTR 8 (OrderedDict)
50 STORE_NAME 2 (dict)
7 52 PUSH_NULL
54 LOAD_NAME 2 (dict)
56 CALL 0
64 STORE_NAME 5 (d3)
66 RETURN_CONST 1 (None)
```
The dict literal `{}` only has one bytecode `BUILD_MAP`, while the factory call `dict()` has three `PUSH_NULL + LOAD_NAME + CALL`. Also, the factory call is not safe if users override the `dict` name in `locals` or `globals` (see the example of replacing with `OrderedDict` above).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/130199
Approved by: https://github.com/malfet
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|---|---|---|
| .. | ||
| dlmc | ||
| __init__.py | ||
| benchmark_semi_structured_sparsity.py | ||
| README.md | ||
| spmm.py | ||
| spmv.py | ||
| test_csr.sh | ||
| triton_ops.py | ||
| utils.py | ||
#Sparse benchmarks
These sets of benchmarks are for the sparse matrix functionality. They exist for comparing the performance of sparse matrix routines such as SpMV between various sparse matrix formats and with other frameworks such as TensorFlow.