◆ test_simple_run()
def tests.tensor_quant_test.TestFakeTensorQuant.test_simple_run |
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◆ test_per_tensor_scale()
def tests.tensor_quant_test.TestFakeTensorQuant.test_per_tensor_scale |
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fake_tensor_quant matches numpy quantization
◆ test_per_channel_scale()
def tests.tensor_quant_test.TestFakeTensorQuant.test_per_channel_scale |
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fake_tensor_quant performs per channel quantization
◆ test_backward()
def tests.tensor_quant_test.TestFakeTensorQuant.test_backward |
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fake_tensor_quant implements straight through estimator on the backward pass
◆ test_unsigned()
def tests.tensor_quant_test.TestFakeTensorQuant.test_unsigned |
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◆ test_cuda_ext()
def tests.tensor_quant_test.TestFakeTensorQuant.test_cuda_ext |
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◆ test_cuda_ext_with_axis()
def tests.tensor_quant_test.TestFakeTensorQuant.test_cuda_ext_with_axis |
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◆ test_cuda_ext_inplace()
def tests.tensor_quant_test.TestFakeTensorQuant.test_cuda_ext_inplace |
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◆ test_overflow_fp16()
def tests.tensor_quant_test.TestFakeTensorQuant.test_overflow_fp16 |
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◆ test_clip_gradient()
def tests.tensor_quant_test.TestFakeTensorQuant.test_clip_gradient |
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◆ test_full_range()
def tests.tensor_quant_test.TestFakeTensorQuant.test_full_range |
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fake_tensor_quant uses the full integer range when narrow=False
The documentation for this class was generated from the following file: