Summary:
The doc string let suppose that `quint8` is for singed 8 bit values.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/48418
Reviewed By: ngimel
Differential Revision: D25181705
Pulled By: mrshenli
fbshipit-source-id: 70e151b6279fef75505f80a7b0cd50032b4f1008
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37081
Closes https://github.com/pytorch/pytorch/issues/30813
Relanding of https://github.com/pytorch/pytorch/pull/35463
1. Tensor quantization logic(quantize_*) is moved to the aten/native/quantized. Previously all logic for tensor quantization lived in the aten/quantized/Quantizer.cpp file, and started to become complicated and hard to read. This problem should be addressed in refactoring PR. Still, I reworked this partially because I had to add tensor quantization logic for CUDA, and it was native to move everything to the aten/native/quantized.
2. Requirements to run CUDA_tensor_apply* was eased to process any tenser that lives on the CUDA device(QuantizedCUDA included).
3. All quantized data types now have a default constructor. NVCC refuses to compile any gpu_kernel or CUDA_tensor_apply* without them.
4. Minor changes in many files to register QuantizedCUDA backend.
5. test_quantized_tensor is extended to process QuantizedCUDA backend where possible.
Test Plan: Imported from OSS
Differential Revision: D21206694
Pulled By: jerryzh168
fbshipit-source-id: c7433aad9c095a34c57e6dddd128b5c5d9292373
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/36936
Closes https://github.com/pytorch/pytorch/issues/30813
Relanding of https://github.com/pytorch/pytorch/pull/35463
1. Tensor quantization logic(quantize_*) is moved to the aten/native/quantized. Previously all logic for tensor quantization lived in the aten/quantized/Quantizer.cpp file, and started to become complicated and hard to read. This problem should be addressed in refactoring PR. Still, I reworked this partially because I had to add tensor quantization logic for CUDA, and it was native to move everything to the aten/native/quantized.
2. Requirements to run CUDA_tensor_apply* was eased to process any tenser that lives on the CUDA device(QuantizedCUDA included).
3. All quantized data types now have a default constructor. NVCC refuses to compile any gpu_kernel or CUDA_tensor_apply* without them.
4. Minor changes in many files to register QuantizedCUDA backend.
5. test_quantized_tensor is extended to process QuantizedCUDA backend where possible.
Test Plan: Imported from OSS
Differential Revision: D21143025
Pulled By: jerryzh168
fbshipit-source-id: 11405e2e8f87e48fadc0a084c51db15f85ccb500
Summary:
Closes https://github.com/pytorch/pytorch/issues/30813
1. Tensor quantization logic(quantize_*) is moved to the aten/native/quantized. Previously all logic for tensor quantization lived in the aten/quantized/Quantizer.cpp file, and started to become complicated and hard to read. This problem should be addressed in refactoring PR. Still, I reworked this partially because I had to add tensor quantization logic for CUDA, and it was native to move everything to the aten/native/quantized.
2. Requirements to run CUDA_tensor_apply* was eased to process any tenser that lives on the CUDA device(QuantizedCUDA included).
3. All quantized data types now have a default constructor. NVCC refuses to compile any gpu_kernel or CUDA_tensor_apply* without them.
4. Minor changes in many files to register QuantizedCUDA backend.
5. test_quantized_tensor is extended to process QuantizedCUDA backend where possible.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35463
Differential Revision: D20896697
Pulled By: jerryzh168
fbshipit-source-id: 163554efa23d11a2b10bbc2492439db4798eb26b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19932
In preparation to add int8_t data type for QTensor
Reviewed By: zafartahirov
Differential Revision: D15137838
fbshipit-source-id: 59462c36d6fc5982986d4196bf3f32f49bb294d7
