__init__.py

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.

# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.

from .smoothquant import *  # noqa: F403
from .quant_api import *  # noqa: F403
from .subclass import *  # noqa: F403
from .quant_primitives import *  # noqa: F403
from .utils import *  # noqa: F403
from .weight_only import *  # noqa: F403
from .unified import *
from .autoquant import *

__all__ = [
    "DynamicallyPerAxisQuantizedLinear",
    "apply_weight_only_int8_quant",
    "apply_dynamic_quant",
    "change_linear_weights_to_int8_dqtensors",
    "change_linear_weights_to_int8_woqtensors",
    "change_linear_weights_to_int4_woqtensors",
    "swap_conv2d_1x1_to_linear"
    "safe_int_mm",
    "dynamically_quantize_per_tensor",
    "quantize_activation_per_token_absmax",
    "dynamically_quantize_per_channel",
    "dequantize_per_tensor",
    "dequantize_per_channel",
    "autoquant",
    "change_linears_to_autoquantizable",
    "change_autoquantizable_to_quantized",
    "quant_int8_dynamic_linear",
    "quant_int8_matmul",
    "quant_int8_dynamic_per_token_linear",
    "quant_int8_per_token_matmul",
    "get_scale",
    "SmoothFakeDynQuantMixin",
    "SmoothFakeDynamicallyQuantizedLinear",
    "swap_linear_with_smooth_fq_linear",
    "smooth_fq_linear_to_inference",
    "set_smooth_fq_attribute",
    "Int8DynamicallyQuantizedLinearWeight",
    "Int8WeightOnlyQuantizedLinearWeight",
    "Int4WeightOnlyQuantizedLinearWeight",
    "compute_error",
    "get_model_size_in_bytes",
    "WeightOnlyInt8QuantLinear",
    "Int4WeightOnlyGPTQQuantizer",
    "Int4WeightOnlyQuantizer",
]