BladeDISC

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We're now planing to start support quantization in BladeDISC. The basic idea is: - introduce a fake_quant op. The op will be used to pass quantization related info (e.g. scale/zero_point)...

wyzero

refine fake quant test.

1

qiuxiafei

[WIP] Merge mem intensive optimization

1

wind up stuff

fwd4

Also apply linter to the codes

chenbohua3

minminsun

Yancey1989

The overall process can be divided into the following steps: - [x] make each subgraph executable, this allows us to collect the inputs of each subgraph when inference with the...

chenbohua3

tanyokwok

Support for `tf.feature_column`s in disc

6

# Why we want to support `tf.feature_column`s We have found plenty of models with `tf.feature_column` ops in many industrial models, such as in CTR models. Normally the `tf.feature_column` ops are...

Orion34-lanbo

[RFC] Add TorchBlade benchmarks based on TorchBench

5

### Why TorchBench? 1. A benchmark maintained by the PyTorch community officially 2. `torchbenchmark/models` contains copies of popular or exemplary workloads 3. `torch.utils.benchmark.Timer` has priorities than `timeit.Timer` in PyTorch 4....

tanyokwok