pytorch/test/test_quantization.py
Jerry Zhang 0da6730f02 [quant][graphmode][fx][eagermode] Add leaky relu support in quantization workflows (#45712)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45712

Eager mode will still be able to use functional leaky relu, but it will be less accurate than
LeakyReLU module.
FX graph mode will support both leaky relu functional and module

Test Plan: Imported from OSS

Reviewed By: z-a-f

Differential Revision: D24069961

fbshipit-source-id: 8d91c3c50c0bcd068ba3072378ebb4da9549be3b
2020-10-06 12:16:04 -07:00

82 lines
3.9 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
from quantization.test_quantized_op import TestQuantizedEmbeddingOps # 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
from quantization.test_quantize import TestEagerModeOps # 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
from quantization.test_quantize import TestQuantizeONNXExport # noqa: F401
from quantization.test_quantize import TestDeprecatedJitQuantized # noqa: F401
# 2. Graph mode quantization
from quantization.test_quantize_jit import TestQuantizeJit # noqa: F401
from quantization.test_quantize_jit import TestQuantizeJitPasses # noqa: F401
from quantization.test_quantize_jit import TestQuantizeJitOps # noqa: F401
from quantization.test_quantize_jit import TestQuantizeDynamicJitPasses # noqa: F401
from quantization.test_quantize_jit import TestQuantizeDynamicJitOps # noqaa: F401
# 3. GraphModule based graph mode quantization
from quantization.test_quantize_fx import TestQuantizeFx # noqa: F401
from quantization.test_quantize_fx import TestQuantizeFxOps # noqa: F401
from quantization.test_quantize_fx import TestQuantizeFxModels # 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
# Equalization
from quantization.test_equalize import TestEqualizeEager # noqa: F401
# Bias Correction
from quantization.test_bias_correction import TestBiasCorrection # noqa: F401
if __name__ == '__main__':
run_tests()