blob: f8505689034efb2e93145a019de328898fe27f29 [file] [log] [blame]
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## AmpSF schematic generator solution\n",
"The follow cell contains the solution for AmpSF schematic generator. you should be able to evaluate it and run the flow. Note that it uses `amp_sf_soln` schematic template instead of the `amp_sf` schematic template you meant to fill out. If you wish to debug your schematic template, you can change `amp_sf_soln` to `amp_sf` in the `yaml_file` class variable."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"using existing BagProject\n",
"computing layout\n",
"ext_w0 = 1, ext_wend=7, ytop=2880\n",
"ext_w0 = 2, ext_wend=9, ytop=3024\n",
"final: ext_w0 = 1, ext_wend=7, ytop=2880\n",
"creating layout\n",
"layout done\n",
"creating AMP_SF schematics\n",
"running lvs\n",
"Running tasks, Press Ctrl-C to cancel.\n",
"lvs passed\n",
"lvs log is /users/erichang/projects/bag_gen/BAG2_cds_ff_mpt/pvs_run/lvs_run_dir/DEMO_AMP_SF/AMP_SF/lvsLog_20180906_111315b1mh7xr5\n",
"computing AMP_SF_tb_dc schematics\n",
"creating AMP_SF_tb_dc schematics\n",
"computing AMP_SF_tb_ac_tran schematics\n",
"creating AMP_SF_tb_ac_tran schematics\n",
"schematic done\n",
"setting up AMP_SF_tb_dc\n",
"running simulation\n",
"Running tasks, Press Ctrl-C to cancel.\n",
"simulation done, load results\n",
"setting up AMP_SF_tb_ac_tran\n",
"running simulation\n",
"Running tasks, Press Ctrl-C to cancel.\n",
"simulation done, load results\n",
"all simulation done\n",
"loading simulation data for AMP_SF_tb_dc\n",
"loading simulation data for AMP_SF_tb_ac_tran\n",
"finish loading data\n",
", gain=0.05005\n",
", f_3db=1.124e+10, f_unity=-1, phase_margin=360\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"\n",
"import os\n",
"\n",
"from bag.design import Module\n",
"\n",
"\n",
"# noinspection PyPep8Naming\n",
"class demo_templates__amp_sf(Module):\n",
" \"\"\"Schematic generator for a source follower.\n",
" \"\"\"\n",
"\n",
" # hard coded netlist flie path to get jupyter notebook working.\n",
" yaml_file = os.path.join(os.environ['BAG_WORK_DIR'], 'BAG_XBase_demo', \n",
" 'BagModules', 'demo_templates', 'netlist_info', 'amp_sf_soln.yaml') \n",
"\n",
" def __init__(self, bag_config, parent=None, prj=None, **kwargs):\n",
" Module.__init__(self, bag_config, self.yaml_file, parent=parent, prj=prj, **kwargs)\n",
"\n",
" @classmethod\n",
" def get_params_info(cls):\n",
" return dict(\n",
" lch='channel length in meters.',\n",
" w_dict='Dictionary of transistor widths.',\n",
" intent_dict='Dictionary of transistor threshold flavors.',\n",
" fg_dict='Dictionary of transistor number of fingers.',\n",
" dum_info='Dummy information data structure',\n",
" )\n",
"\n",
" def design(self, lch, w_dict, intent_dict, fg_dict, dum_info):\n",
" w_amp = w_dict['amp']\n",
" w_bias = w_dict['bias']\n",
" intent_amp = intent_dict['amp']\n",
" intent_bias = intent_dict['bias']\n",
" fg_amp = fg_dict['amp']\n",
" fg_bias = fg_dict['bias']\n",
"\n",
" self.instances['XAMP'].design(w=w_amp, l=lch, intent=intent_amp, nf=fg_amp)\n",
" self.instances['XBIAS'].design(w=w_bias, l=lch, intent=intent_bias, nf=fg_bias)\n",
"\n",
" # handle dummy transistors\n",
" self.design_dummy_transistors(dum_info, 'XDUM', 'VDD', 'VSS')\n",
"\n",
" \n",
"import os\n",
"\n",
"# import bag package\n",
"import bag\n",
"from bag.io import read_yaml\n",
"\n",
"# import BAG demo Python modules\n",
"import xbase_demo.core as demo_core\n",
"from xbase_demo.demo_layout.core import AmpSFSoln\n",
"\n",
"# load circuit specifications from file\n",
"spec_fname = os.path.join(os.environ['BAG_WORK_DIR'], 'specs_demo/demo.yaml')\n",
"top_specs = read_yaml(spec_fname)\n",
"\n",
"# obtain BagProject instance\n",
"local_dict = locals()\n",
"if 'bprj' in local_dict:\n",
" print('using existing BagProject')\n",
" bprj = local_dict['bprj']\n",
"else:\n",
" print('creating BagProject')\n",
" bprj = bag.BagProject()\n",
"\n",
"demo_core.run_flow(bprj, top_specs, 'amp_sf', AmpSFSoln, sch_cls=demo_templates__amp_sf, run_lvs=True)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 1
}