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https://github.com/saymrwulf/pytorch.git
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94737e8a2a
Description: 1. Quantize Linear Layer Weights to 4-bits: Quantize the weights of the Linear layer to 4 bits, using symmetric quantization. Pack two 4-bit weights into one uint8 container. Choose a quantization scheme (channel-wise or group-wise), with the group size being a multiple of 32. 2. Prepare Quantized Weights, Scales, and Optional Bias: After quantizing, obtain the quantized_weights, scales, and groupsize. If the original Linear layer has a bias, prepare it as well. 3. Pack the Weights Efficiently: Use torch.ops.aten._dyn_quant_pack_4bit_weight to optimally pack the weights, scales, and optional bias. ```python packed_weights = torch.ops.aten._dyn_quant_pack_4bit_weight(weight, scales_and_zeros, bias, groupsize, in_features, out_features) ``` Input parameters should include: in_features and out_features (the same as the Linear layer’s corresponding parameters). 4. Perform Dynamic Quantized Matrix Multiplication: Use torch.ops.aten._dyn_quant_matmul_4bit to perform matrix multiplication with quantized weights. ```python output = torch.ops.aten._dyn_quant_matmul_4bit(input, packed_weights, groupsize, in_features, out_features) ``` Inputs required include: The input tensor, packed_weights , groupsize, and the in_features and out_features. API Usage: https://github.com/pytorch/pytorch/issues/143289 Model Perf : 7B Transformer model: Prefill : 340 t/s Decode : 40 t/s 2B Transformer model Prefill : 747 t/s Decode : 80 t/s Tests: python test/test_linalg.py -k test__dyn_quant_pack_4bit_weight Ran 1 test in 0.016s OK python test/test_linalg.py -k test__dyn_quant_matmul_4bit Ran 8 tests in 0.077s OK python test/test_linalg.py -k test_compile_dyn_quant_matmul_4bit Ran 8 tests in 11.454s Change-Id: Ia1672bad5e6ec94e64d8bb1971395d60f4b3a452 Fixes #ISSUE_NUMBER Pull Request resolved: https://github.com/pytorch/pytorch/pull/134124 Approved by: https://github.com/digantdesai, https://github.com/malfet |
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| .. | ||
| _static | ||
| _templates | ||
| community | ||
| elastic | ||
| notes | ||
| rpc | ||
| scripts | ||
| accelerator.rst | ||
| amp.rst | ||
| autograd.rst | ||
| backends.rst | ||
| benchmark_utils.rst | ||
| bottleneck.rst | ||
| checkpoint.rst | ||
| complex_numbers.rst | ||
| cond.rst | ||
| conf.py | ||
| config_mod.rst | ||
| cpp_extension.rst | ||
| cpp_index.rst | ||
| cpu.rst | ||
| cuda._sanitizer.rst | ||
| cuda.rst | ||
| cuda.tunable.rst | ||
| cuda_environment_variables.rst | ||
| cudnn_persistent_rnn.rst | ||
| cudnn_rnn_determinism.rst | ||
| data.rst | ||
| ddp_comm_hooks.rst | ||
| debugging_environment_variables.rst | ||
| deploy.rst | ||
| deterministic.rst | ||
| distributed.algorithms.join.rst | ||
| distributed.checkpoint.rst | ||
| distributed.elastic.rst | ||
| distributed.fsdp.fully_shard.rst | ||
| distributed.optim.rst | ||
| distributed.pipelining.rst | ||
| distributed.rst | ||
| distributed.tensor.parallel.rst | ||
| distributed.tensor.rst | ||
| distributions.rst | ||
| dlpack.rst | ||
| docutils.conf | ||
| export.ir_spec.rst | ||
| export.programming_model.rst | ||
| export.rst | ||
| fft.rst | ||
| fsdp.rst | ||
| func.api.rst | ||
| func.batch_norm.rst | ||
| func.migrating.rst | ||
| func.rst | ||
| func.ux_limitations.rst | ||
| func.whirlwind_tour.rst | ||
| future_mod.rst | ||
| futures.rst | ||
| fx.experimental.rst | ||
| fx.rst | ||
| hub.rst | ||
| index.rst | ||
| jit.rst | ||
| jit_builtin_functions.rst | ||
| jit_language_reference.rst | ||
| jit_language_reference_v2.rst | ||
| jit_python_reference.rst | ||
| jit_unsupported.rst | ||
| jit_utils.rst | ||
| library.rst | ||
| linalg.rst | ||
| logging.rst | ||
| masked.rst | ||
| math-quantizer-equation.png | ||
| meta.rst | ||
| miscellaneous_environment_variables.rst | ||
| mobile_optimizer.rst | ||
| model_zoo.rst | ||
| module_tracker.rst | ||
| monitor.rst | ||
| mps.rst | ||
| mps_environment_variables.rst | ||
| mtia.memory.rst | ||
| mtia.rst | ||
| multiprocessing.rst | ||
| name_inference.rst | ||
| named_tensor.rst | ||
| nested.rst | ||
| nn.attention.bias.rst | ||
| nn.attention.experimental.rst | ||
| nn.attention.flex_attention.rst | ||
| nn.attention.rst | ||
| nn.functional.rst | ||
| nn.init.rst | ||
| nn.rst | ||
| onnx.rst | ||
| onnx_dynamo.rst | ||
| onnx_dynamo_memory_usage.rst | ||
| onnx_dynamo_onnxruntime_backend.rst | ||
| onnx_torchscript.rst | ||
| onnx_torchscript_supported_aten_ops.rst | ||
| optim.rst | ||
| package.rst | ||
| profiler.rst | ||
| quantization-accuracy-debugging.rst | ||
| quantization-backend-configuration.rst | ||
| quantization-support.rst | ||
| quantization.rst | ||
| random.rst | ||
| rpc.rst | ||
| signal.rst | ||
| size.rst | ||
| sparse.rst | ||
| special.rst | ||
| storage.rst | ||
| tensor_attributes.rst | ||
| tensor_view.rst | ||
| tensorboard.rst | ||
| tensors.rst | ||
| testing.rst | ||
| threading_environment_variables.rst | ||
| torch.ao.ns._numeric_suite.rst | ||
| torch.ao.ns._numeric_suite_fx.rst | ||
| torch.compiler.config.rst | ||
| torch.compiler.rst | ||
| torch.compiler_aot_inductor.rst | ||
| torch.compiler_aot_inductor_minifier.rst | ||
| torch.compiler_api.rst | ||
| torch.compiler_best_practices_for_backends.rst | ||
| torch.compiler_cudagraph_trees.rst | ||
| torch.compiler_custom_backends.rst | ||
| torch.compiler_dynamic_shapes.rst | ||
| torch.compiler_dynamo_deepdive.rst | ||
| torch.compiler_dynamo_overview.rst | ||
| torch.compiler_fake_tensor.rst | ||
| torch.compiler_faq.rst | ||
| torch.compiler_fine_grain_apis.rst | ||
| torch.compiler_get_started.rst | ||
| torch.compiler_inductor_profiling.rst | ||
| torch.compiler_ir.rst | ||
| torch.compiler_nn_module.rst | ||
| torch.compiler_performance_dashboard.rst | ||
| torch.compiler_profiling_torch_compile.rst | ||
| torch.compiler_transformations.rst | ||
| torch.compiler_troubleshooting.rst | ||
| torch.compiler_troubleshooting_old.rst | ||
| torch.overrides.rst | ||
| torch.rst | ||
| torch_cuda_memory.rst | ||
| torch_environment_variables.rst | ||
| torch_nccl_environment_variables.rst | ||
| type_info.rst | ||
| utils.rst | ||
| xpu.rst | ||
