mirror of
https://github.com/mit-han-lab/tinyengine.git
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58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
import warnings
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from .basic_utils import basicOperator, deep_copy_dicts, overwrite_dicts
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default_params = {
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# op related
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"op": "ADD1D",
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"input_idx": None,
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"input2_idx": None,
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"output_idx": None,
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# tensor related
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"input_size": None,
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"input_dtype": "int8",
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"input2_dtype": "int8",
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"output_dtype": "int8",
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# quantization related
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"weight_value": None,
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"bias": None,
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"input_zero_point": None,
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"output_zero_point": None,
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"input_scale": None,
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"output_scale": None,
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"multiplier": None,
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"shift": None,
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}
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class add1d(basicOperator):
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def __init__(self, params: dict) -> None:
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self.params = deep_copy_dicts(default_params)
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overwrite_dicts(self.params, params)
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super().__init__()
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# handle input/output tensors in HWC format
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self._add_input(self.params["input_idx"], self.params["input_dtype"], self.params["input_size"], 1, 1)
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self._add_input(self.params["input2_idx"], self.params["input2_dtype"], self.params["input_size"], 1, 1)
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self._add_output(self.params["output_idx"], self.params["output_dtype"], self.params["input_size"], 1, 1)
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if None in default_params:
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warnings.warn(f"parameters are not all set for op {self.params['op']}")
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def get_macs(self) -> int:
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p = self.params
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return p["input_size"]
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def generate_inference_str(self):
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params = self.params
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if params["input_dtype"] == "float32":
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string = (
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f"add_fp({self.params['input_size']},"
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+ f"{self._getBufferstrCast(params['input_buf_add'], params['input_buf_add_offset'])},"
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+ f"{self._getBufferstrCast(params['input2_buf_add'], params['input2_buf_add_offset'])},"
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+ f"{self._getBufferstrCast(params['output_buf_add'], params['output_buf_add_offset'])});\n"
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)
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else:
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raise NotImplementedError
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return string
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