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49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
import warnings
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from .basic_utils import basicOperator, deep_copy_dicts, overwrite_dicts
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__all__ = ["negative"]
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default_params = {
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# op related
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"op": "NEGATIVE",
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"input_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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"output_size": None,
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"input_dtype": "float32",
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"output_dtype": "float32",
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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 negative(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_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 generate_inference_str(self):
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params = self.params
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size = params["input_size"]
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string = f"fptr = (float*){self._getBufferstr(params['input_buf_add'], params['input_buf_add_offset'])};"
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string += f"fptr2 = (float*){self._getBufferstr(params['output_buf_add'], params['output_buf_add_offset'])};"
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string += f"for(int i = 0; i < {size}; i++) fptr2[i] = fptr[i] * -1.0f;\n"
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return string
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