pytorch/test/test_quantization.py
Kimish Patel bb12e4dca0 Add JIT fusion pass to fuse quantized add and relu. (#38897)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/38897

Quantized ops support add_relu. This pass enables finding quantized add + relu
pattern and fuse them to add_relu.

Test Plan: buck run caffe2/test:quantization -- test_quantization.TestFusionPasses

Reviewed By: jerryzh168

Differential Revision: D21690909

fbshipit-source-id: 607cf72dde535df15eb7638841543ab2156af464
2020-05-27 14:16:57 -07:00

66 lines
3.2 KiB
Python

# -*- coding: utf-8 -*-
from torch.testing._internal.common_utils import run_tests
# Quantized Tensor
from quantization.test_quantized_tensor import TestQuantizedTensor # noqa: F401
# Quantized Op
# TODO: merge test cases in quantization.test_quantized
from quantization.test_quantized_op import TestQuantizedOps # noqa: F401
from quantization.test_quantized_op import TestQNNPackOps # noqa: F401
from quantization.test_quantized_op import TestQuantizedLinear # noqa: F401
from quantization.test_quantized_op import TestQuantizedConv # noqa: F401
from quantization.test_quantized_op import TestDynamicQuantizedLinear # noqa: F401
from quantization.test_quantized_op import TestComparatorOps # noqa: F401
from quantization.test_quantized_op import TestPadding # noqa: F401
# Quantized Functional
from quantization.test_quantized_functional import TestQuantizedFunctional # noqa: F401
# Quantized Module
from quantization.test_quantized_module import TestStaticQuantizedModule # noqa: F401
from quantization.test_quantized_module import TestDynamicQuantizedModule # noqa: F401
# Quantization Aware Training
from quantization.test_qat_module import TestQATModule # noqa: F401
# Quantization specific fusion passes
from quantization.test_fusion_passes import TestFusionPasses # noqa: F401
# Module
# TODO: merge the fake quant per tensor and per channel test cases
# TODO: some of the tests are actually operator tests, e.g. test_forward_per_tensor, and
# should be moved to test_quantized_op
from quantization.test_workflow_module import TestFakeQuantizePerTensor # noqa: F401
from quantization.test_workflow_module import TestFakeQuantizePerChannel # noqa: F401
from quantization.test_workflow_module import TestObserver # noqa: F401
# TODO: merge with TestObserver
# TODO: some tests belong to test_quantize.py, e.g. test_record_observer
from quantization.test_workflow_module import TestRecordHistogramObserver # noqa: F401
from quantization.test_workflow_module import TestDistributed # noqa: F401
# Workflow
# 1. Eager mode quantization
from quantization.test_quantize import TestPostTrainingStatic # noqa: F401
from quantization.test_quantize import TestPostTrainingDynamic # noqa: F401
from quantization.test_quantize import TestQuantizationAwareTraining # noqa: F401
# TODO: move to test_quantize_script
from quantization.test_quantize import TestGraphModePostTrainingStatic # noqa: F401
# TODO: merge with other tests in test_quantize.py?
from quantization.test_quantize import TestFunctionalModule # noqa: F401
from quantization.test_quantize import TestFusion # noqa: F401
from quantization.test_quantize import TestModelNumerics # noqa: F401
# 2. Graph mode quantization
from quantization.test_quantize_script import TestQuantizeScriptJitPasses # noqa: F401
from quantization.test_quantize_script import TestQuantizeScriptPTSQOps # noqa: F401
from quantization.test_quantize_script import TestQuantizeDynamicScript # noqa: F401
# Tooling: numric_suite
from quantization.test_numeric_suite import TestEagerModeNumericSuite # noqa: F401
# Backward Compatibility
from quantization.test_backward_compatibility import TestSerialization # noqa: F401
if __name__ == '__main__':
run_tests()