Lines Matching refs:scales

81         scales = {}
94 scales["input_scale"] = input_state['quantization_parameters']['scales'][0]
96 scales["cell_scale"] = cell_state['quantization_parameters']['scales'][0]
98 scales["output_scale"] = output_state['quantization_parameters']['scales'][0]
100 tmp = math.log(scales["cell_scale"]) * (1 / math.log(2))
103 … effective_scales["forget_to_cell"] = pow(2, -15) * scales["cell_scale"] / scales["cell_scale"]
104 effective_scales["input_to_cell"] = pow(2, -15) * pow(2, -15) / scales["cell_scale"]
105 effective_scales["output"] = pow(2, -15) * pow(2, -15) / scales["output_scale"]
111 scales[name + "_scale"] = detail['quantization_parameters']['scales'][0]
112 effective_scales[name] = input_scale * scales[name + "_scale"] / pow(2, -12)
114 calc_scale("output_gate_hidden", scales["output_scale"], 5)
115 calc_scale("cell_gate_hidden", scales["output_scale"], 6)
116 calc_scale("forget_gate_hidden", scales["output_scale"], 7)
117 calc_scale("input_gate_hidden", scales["output_scale"], 8)
119 calc_scale("output_gate_input", scales["input_scale"], 9)
120 calc_scale("cell_gate_input", scales["input_scale"], 10)
121 calc_scale("forget_gate_input", scales["input_scale"], 11)
122 calc_scale("input_gate_input", scales["input_scale"], 12)
134 return Lib.op_utils.Generated_data(generated_params, tensors, scales, effective_scales)
138 scales = {}
145 scales["input_scale"] = np.round(np.random.rand(1) * (maxval - minval) + minval, 6)[0]
146 scales["cell_scale"] = np.round(np.random.rand(1) * (maxval - minval) + maxval, 6)[0]
147 scales["output_scale"] = np.round(np.random.rand(1) * (maxval - minval) + minval, 6)[0]
149 tmp = math.log(scales["cell_scale"]) * (1 / math.log(2))
152 … effective_scales["forget_to_cell"] = pow(2, -15) * scales["cell_scale"] / scales["cell_scale"]
153 effective_scales["input_to_cell"] = pow(2, -15) * pow(2, -15) / scales["cell_scale"]
154 effective_scales["output"] = pow(2, -15) * pow(2, -15) / scales["output_scale"]
158 scales[name + "_scale"] = np.round(np.random.rand(1) * (maxval - minval) + minval, 6)[0]
159 effective_scales[name] = input_scale1 * scales[name + "_scale"] / pow(2, -12)
161 create_scales("output_gate_hidden", scales["output_scale"])
162 create_scales("cell_gate_hidden", scales["output_scale"])
163 create_scales("forget_gate_hidden", scales["output_scale"])
164 create_scales("input_gate_hidden", scales["output_scale"])
166 create_scales("output_gate_input", scales["input_scale"])
167 create_scales("cell_gate_input", scales["input_scale"])
168 create_scales("forget_gate_input", scales["input_scale"])
169 create_scales("input_gate_input", scales["input_scale"])
195 return Lib.op_utils.Generated_data(generated_params, tensors, scales, effective_scales)