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golden0080/39093.ipynb

Last active May 4, 2020 22:01
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39093.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "39093.ipynb",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/golden0080/0087ecd517d03fd12ed4d74f031d21cd/39093.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "MLQ20Vhq0NIH",
"colab_type": "code",
"outputId": "bdc83817-7cb0-4829-a501-05bac490a99a",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 357
}
},
"source": [
"pip install tensorflow==1.14"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already satisfied: tensorflow==1.14 in /usr/local/lib/python3.6/dist-packages (1.14.0)\n",
"Requirement already satisfied: wrapt>=1.11.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.12.1)\n",
"Requirement already satisfied: tensorflow-estimator<1.15.0rc0,>=1.14.0rc0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.14.0)\n",
"Requirement already satisfied: grpcio>=1.8.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.28.1)\n",
"Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (0.34.2)\n",
"Requirement already satisfied: google-pasta>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (0.2.0)\n",
"Requirement already satisfied: gast>=0.2.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (0.2.2)\n",
"Requirement already satisfied: numpy<2.0,>=1.14.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.18.3)\n",
"Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.12.0)\n",
"Requirement already satisfied: protobuf>=3.6.1 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (3.10.0)\n",
"Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.1.0)\n",
"Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.0.8)\n",
"Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (0.8.1)\n",
"Requirement already satisfied: tensorboard<1.15.0,>=1.14.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.14.0)\n",
"Requirement already satisfied: absl-py>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (0.9.0)\n",
"Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.14) (1.1.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf>=3.6.1->tensorflow==1.14) (46.1.3)\n",
"Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras-applications>=1.0.6->tensorflow==1.14) (2.10.0)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow==1.14) (3.2.1)\n",
"Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow==1.14) (1.0.1)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "IZuZhHOT9O__",
"colab_type": "code",
"colab": {}
},
"source": [
"import os\n",
"\n",
"os.environ[\"AUTOGRAPH_VERBOSITY\"] = \"10\""
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "i2ldbzXl_cbA",
"colab_type": "code",
"outputId": "eaeb457a-18dc-4ae8-a84f-882eea4f0374",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"import tensorflow as tf\n",
"\n",
"import numpy as np\n",
"from tensorflow.python.ops import math_ops\n",
"from tensorflow.python import keras\n",
"\n",
"class MyLayer(keras.layers.Layer):\n",
"\n",
" def call(self, inputs, training=None):\n",
" # Expecting training to be set\n",
" if training is not None:\n",
" self.add_loss(math_ops.reduce_sum(inputs))\n",
"\n",
" return inputs\n",
"\n",
"\n",
"inputs = keras.Input((3,))\n",
"layer = MyLayer()\n",
"outputs = layer(inputs)\n",
"model = keras.Model(inputs, outputs)\n",
"model.compile('sgd', 'mse', run_eagerly=False)\n",
"loss = model.fit(np.ones((2, 3)), np.ones((2, 3)))\n",
"\n",
"print(loss.history)"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"INFO:tensorflow:Converted call: <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>> \n",
" args: (<tf.Tensor 'input_1:0' shape=(?, 3) dtype=float32>,)\n",
" kwargs: {}\n",
"\n",
"Converted call: <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>> \n",
" args: (<tf.Tensor 'input_1:0' shape=(?, 3) dtype=float32>,)\n",
" kwargs: {}\n",
"\n",
"INFO:tensorflow:Entity <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>> is not cached for key <code object call at 0x7f9248e65420, file \"<ipython-input-3-f79ad338da3a>\", line 9> subkey (<tensorflow.python.autograph.core.converter.ConversionOptions object at 0x7f922469b080>, frozenset())\n",
"Entity <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>> is not cached for key <code object call at 0x7f9248e65420, file \"<ipython-input-3-f79ad338da3a>\", line 9> subkey (<tensorflow.python.autograph.core.converter.ConversionOptions object at 0x7f922469b080>, frozenset())\n",
"INFO:tensorflow:Converting <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>\n",
"Converting <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>\n",
"INFO:tensorflow:Source code of <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>:\n",
"\n",
"def call(self, inputs, training=None):\n",
" # Expecting training to be set\n",
" if training is not None:\n",
" self.add_loss(math_ops.reduce_sum(inputs))\n",
"\n",
" return inputs\n",
"\n",
"\n",
"Source code of <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>:\n",
"\n",
"def call(self, inputs, training=None):\n",
" # Expecting training to be set\n",
" if training is not None:\n",
" self.add_loss(math_ops.reduce_sum(inputs))\n",
"\n",
" return inputs\n",
"\n",
"\n",
"INFO:tensorflow:Compiled output of <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>:\n",
"\n",
"def tf__call(self, inputs, training=None):\n",
" do_return = False\n",
" retval_ = ag__.UndefinedReturnValue()\n",
" cond = training is not None\n",
"\n",
" def get_state():\n",
" return ()\n",
"\n",
" def set_state(_):\n",
" pass\n",
"\n",
" def if_true():\n",
" ag__.converted_call('add_loss', self, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (ag__.converted_call('reduce_sum', math_ops, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (inputs,), None),), None)\n",
" return ag__.match_staging_level(1, cond)\n",
"\n",
" def if_false():\n",
" return ag__.match_staging_level(1, cond)\n",
" ag__.if_stmt(cond, if_true, if_false, get_state, set_state)\n",
" do_return = True\n",
" retval_ = inputs\n",
" cond_1 = ag__.is_undefined_return(retval_)\n",
"\n",
" def get_state_1():\n",
" return ()\n",
"\n",
" def set_state_1(_):\n",
" pass\n",
"\n",
" def if_true_1():\n",
" retval_ = None\n",
" return retval_\n",
"\n",
" def if_false_1():\n",
" return retval_\n",
" retval_ = ag__.if_stmt(cond_1, if_true_1, if_false_1, get_state_1, set_state_1)\n",
" return retval_\n",
"\n",
"\n",
"Compiled output of <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>:\n",
"\n",
"def tf__call(self, inputs, training=None):\n",
" do_return = False\n",
" retval_ = ag__.UndefinedReturnValue()\n",
" cond = training is not None\n",
"\n",
" def get_state():\n",
" return ()\n",
"\n",
" def set_state(_):\n",
" pass\n",
"\n",
" def if_true():\n",
" ag__.converted_call('add_loss', self, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (ag__.converted_call('reduce_sum', math_ops, ag__.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (inputs,), None),), None)\n",
" return ag__.match_staging_level(1, cond)\n",
"\n",
" def if_false():\n",
" return ag__.match_staging_level(1, cond)\n",
" ag__.if_stmt(cond, if_true, if_false, get_state, set_state)\n",
" do_return = True\n",
" retval_ = inputs\n",
" cond_1 = ag__.is_undefined_return(retval_)\n",
"\n",
" def get_state_1():\n",
" return ()\n",
"\n",
" def set_state_1(_):\n",
" pass\n",
"\n",
" def if_true_1():\n",
" retval_ = None\n",
" return retval_\n",
"\n",
" def if_false_1():\n",
" return retval_\n",
" retval_ = ag__.if_stmt(cond_1, if_true_1, if_false_1, get_state_1, set_state_1)\n",
" return retval_\n",
"\n",
"\n",
"INFO:tensorflow:Compiled AST of <bound method MyLayer.call of <__main__.MyLayer object at 0x7f923b972ac8>>:\n",
"\n",
"FunctionDef:\n",
"| name=u\"tf__call\"\n",
"| args=arguments:\n",
"| | args=[\n",
"| | | Name:\n",
"| | | | id=u\"self\"\n",
"| | | | ctx=Param()\n",
"| | | | annotation=None\n",
"| | | | ___pyct_anno={'lineno': 1, ORIGIN: <ipython-input-3-f79ad338da3a>:9:13, QN: self, DEFINITIONS: (AnnotatedDef[140265652225472],), ORIG_DEFINITIONS: (AnnotatedDef[140265652958320],)}\n",
"| | | Name:\n",
"| | | | id=u\"inputs\"\n",
"| | | | ctx=Param()\n",
"| | | | annotation=None\n",
"| | | | ___pyct_anno={'lineno': 1, ORIGIN: <ipython-input-3-f79ad338da3a>:9:19, QN: inputs, DEFINITIONS: (AnnotatedDef[140265652225584],), ORIG_DEFINITIONS: (AnnotatedDef[140265652958432],)}\n",
"| | | Name:\n",
"| | | | id=u\"training\"\n",
"| | | | ctx=Param()\n",
"| | | | annotation=None\n",
"| | | | ___pyct_anno={'lineno': 1, ORIGIN: <ipython-input-3-f79ad338da3a>:9:27, QN: training, DEFINITIONS: (AnnotatedDef[140265652225528],), ORIG_DEFINITIONS: (AnnotatedDef[140265652957760],)}\n",
"| | ]\n",
"| | vararg=None\n",
"| | kwonlyargs=[]\n",
"| | kw_defaults=[]\n",
"| | kwarg=None\n",
"| | defaults=[\n",
"| | | NameConstant:\n",
"| | | | value=None\n",
"| | ]\n",
"| | ___pyct_anno={SCOPE: Scope{r=(), w=(self, training, inputs)}}\n",
"| body=[\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"do_return\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: do_return, DEFINITIONS: (AnnotatedDef[140265652862816],)}\n",
"| | | ]\n",
"| | | value=NameConstant:\n",
"| | | | value=False\n",
"| | | ___pyct_anno={SCOPE: Scope{r=(), w=(do_return,)}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, ag__.UndefinedReturnValue, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, training, ag__.match_staging_level, ag__.if_stmt})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"retval_\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652859568],)}\n",
"| | | ]\n",
"| | | value=Call:\n",
"| | | | func=Attribute:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"ag__\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | attr=u\"UndefinedReturnValue\"\n",
"| | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={QN: ag__.UndefinedReturnValue}\n",
"| | | | args=[]\n",
"| | | | keywords=[]\n",
"| | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(), w=()}}\n",
"| | | ___pyct_anno={SCOPE: Scope{r=(ag__.UndefinedReturnValue, ag__), w=(retval_,)}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, ag__.UndefinedReturnValue, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, training, ag__.match_staging_level, ag__.if_stmt})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"cond\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | ]\n",
"| | | value=Compare:\n",
"| | | | left=Name:\n",
"| | | | | id=u\"training\"\n",
"| | | | | ctx=Load()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={ORIG_DEFINITIONS: (AnnotatedDef[140265652957760],), ORIGIN: <ipython-input-3-f79ad338da3a>:11:11, QN: training, DEFINITIONS: (AnnotatedDef[140265652225528],)}\n",
"| | | | ops=[\n",
"| | | | | IsNot()\n",
"| | | | ]\n",
"| | | | comparators=[\n",
"| | | | | NameConstant:\n",
"| | | | | | value=None\n",
"| | | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:27}\n",
"| | | | ]\n",
"| | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:11}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(training,), w=(cond,)}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, ag__.match_staging_level, training, inputs, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"get_state\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Return:\n",
"| | | | | value=Tuple:\n",
"| | | | | | elts=[]\n",
"| | | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset()}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(get_state,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, cond, ag__.match_staging_level, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"set_state\"\n",
"| | | args=arguments:\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"_\"\n",
"| | | | | | ctx=Param()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: _, DEFINITIONS: (AnnotatedDef[140265652227768],)}\n",
"| | | | ]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=(_,)}}\n",
"| | | body=[\n",
"| | | | Pass:\n",
"| | | | | ___pyct_anno={LIVE_VARS_IN: frozenset()}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(set_state,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, get_state, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, ag__.match_staging_level, cond, inputs, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"if_true\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Expr:\n",
"| | | | | value=Call:\n",
"| | | | | | func=Attribute:\n",
"| | | | | | | value=Name:\n",
"| | | | | | | | id=u\"ag__\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | attr=u\"converted_call\"\n",
"| | | | | | | ctx=Load()\n",
"| | | | | | | ___pyct_anno={QN: ag__.converted_call}\n",
"| | | | | | args=[\n",
"| | | | | | | Str:\n",
"| | | | | | | | s=u\"add_loss\"\n",
"| | | | | | | Name:\n",
"| | | | | | | | id=u\"self\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={ORIG_DEFINITIONS: (AnnotatedDef[140265652958320],), ORIGIN: <ipython-input-3-f79ad338da3a>:12:12, QN: self, DEFINITIONS: (AnnotatedDef[140265652225472],)}\n",
"| | | | | | | Call:\n",
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"| | | | | | | | | value=Name:\n",
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"| | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | annotation=None\n",
"| | | | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | | | attr=u\"ConversionOptions\"\n",
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"| | | | | | | | | ___pyct_anno={QN: ag__.ConversionOptions}\n",
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"| | | | | | | | | keyword:\n",
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"| | | | | | | | | | value=NameConstant:\n",
"| | | | | | | | | | | value=False\n",
"| | | | | | | | | keyword:\n",
"| | | | | | | | | | arg=u\"optional_features\"\n",
"| | | | | | | | | | value=Tuple:\n",
"| | | | | | | | | | | elts=[]\n",
"| | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | keyword:\n",
"| | | | | | | | | | arg=u\"internal_convert_user_code\"\n",
"| | | | | | | | | | value=NameConstant:\n",
"| | | | | | | | | | | value=True\n",
"| | | | | | | | ]\n",
"| | | | | | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(), w=()}}\n",
"| | | | | | | Tuple:\n",
"| | | | | | | | elts=[\n",
"| | | | | | | | | Call:\n",
"| | | | | | | | | | func=Attribute:\n",
"| | | | | | | | | | | value=Name:\n",
"| | | | | | | | | | | | id=u\"ag__\"\n",
"| | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | | annotation=None\n",
"| | | | | | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | | | | | attr=u\"converted_call\"\n",
"| | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | ___pyct_anno={QN: ag__.converted_call}\n",
"| | | | | | | | | | args=[\n",
"| | | | | | | | | | | Str:\n",
"| | | | | | | | | | | | s=u\"reduce_sum\"\n",
"| | | | | | | | | | | Name:\n",
"| | | | | | | | | | | | id=u\"math_ops\"\n",
"| | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | | annotation=None\n",
"| | | | | | | | | | | | ___pyct_anno={ORIG_DEFINITIONS: (), ORIGIN: <ipython-input-3-f79ad338da3a>:12:26, QN: math_ops, DEFINITIONS: ()}\n",
"| | | | | | | | | | | Call:\n",
"| | | | | | | | | | | | func=Attribute:\n",
"| | | | | | | | | | | | | value=Name:\n",
"| | | | | | | | | | | | | | id=u\"ag__\"\n",
"| | | | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | | | | annotation=None\n",
"| | | | | | | | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | | | | | | | attr=u\"ConversionOptions\"\n",
"| | | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | | | ___pyct_anno={QN: ag__.ConversionOptions}\n",
"| | | | | | | | | | | | args=[]\n",
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"| | | | | | | | | | | | | keyword:\n",
"| | | | | | | | | | | | | | arg=u\"recursive\"\n",
"| | | | | | | | | | | | | | value=NameConstant:\n",
"| | | | | | | | | | | | | | | value=True\n",
"| | | | | | | | | | | | | keyword:\n",
"| | | | | | | | | | | | | | arg=u\"force_conversion\"\n",
"| | | | | | | | | | | | | | value=NameConstant:\n",
"| | | | | | | | | | | | | | | value=False\n",
"| | | | | | | | | | | | | keyword:\n",
"| | | | | | | | | | | | | | arg=u\"optional_features\"\n",
"| | | | | | | | | | | | | | value=Tuple:\n",
"| | | | | | | | | | | | | | | elts=[]\n",
"| | | | | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | | | keyword:\n",
"| | | | | | | | | | | | | | arg=u\"internal_convert_user_code\"\n",
"| | | | | | | | | | | | | | value=NameConstant:\n",
"| | | | | | | | | | | | | | | value=True\n",
"| | | | | | | | | | | | ]\n",
"| | | | | | | | | | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(), w=()}}\n",
"| | | | | | | | | | | Tuple:\n",
"| | | | | | | | | | | | elts=[\n",
"| | | | | | | | | | | | | Name:\n",
"| | | | | | | | | | | | | | id=u\"inputs\"\n",
"| | | | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | | | | annotation=None\n",
"| | | | | | | | | | | | | | ___pyct_anno={ORIG_DEFINITIONS: (AnnotatedDef[140265652958432],), ORIGIN: <ipython-input-3-f79ad338da3a>:12:46, QN: inputs, DEFINITIONS: (AnnotatedDef[140265652225584],)}\n",
"| | | | | | | | | | | | ]\n",
"| | | | | | | | | | | | ctx=Load()\n",
"| | | | | | | | | | | NameConstant:\n",
"| | | | | | | | | | | | value=None\n",
"| | | | | | | | | | ]\n",
"| | | | | | | | | | keywords=[]\n",
"| | | | | | | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:12:26, ARGS_SCOPE: Scope{r=(inputs, ag__.ConversionOptions, math_ops, ag__), w=()}}\n",
"| | | | | | | | ]\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | NameConstant:\n",
"| | | | | | | | value=None\n",
"| | | | | | ]\n",
"| | | | | | keywords=[]\n",
"| | | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:12:12, ARGS_SCOPE: Scope{r=(self, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, inputs), w=()}}\n",
"| | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:12:12, SCOPE: Scope{r=(self, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, inputs), w=()}, LIVE_VARS_OUT: frozenset({cond, ag__.match_staging_level, ag__}), LIVE_VARS_IN: frozenset({self, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, cond, ag__.match_staging_level})}\n",
"| | | | Return:\n",
"| | | | | value=Call:\n",
"| | | | | | func=Attribute:\n",
"| | | | | | | value=Name:\n",
"| | | | | | | | id=u\"ag__\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | attr=u\"match_staging_level\"\n",
"| | | | | | | ctx=Load()\n",
"| | | | | | | ___pyct_anno={QN: ag__.match_staging_level}\n",
"| | | | | | args=[\n",
"| | | | | | | Num:\n",
"| | | | | | | | n=1\n",
"| | | | | | | Name:\n",
"| | | | | | | | id=u\"cond\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | | | | ]\n",
"| | | | | | keywords=[]\n",
"| | | | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(cond,), w=()}}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(cond, ag__.match_staging_level, ag__), w=()}, LIVE_VARS_IN: frozenset({cond, ag__.match_staging_level, ag__})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(if_true,)}, BODY_SCOPE: Scope{r=(self, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, ag__.match_staging_level, cond, inputs), w=()}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, get_state, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, cond, ag__.match_staging_level, ag__.if_stmt, set_state})}\n",
"| | FunctionDef:\n",
"| | | name=u\"if_false\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Return:\n",
"| | | | | value=Call:\n",
"| | | | | | func=Attribute:\n",
"| | | | | | | value=Name:\n",
"| | | | | | | | id=u\"ag__\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | attr=u\"match_staging_level\"\n",
"| | | | | | | ctx=Load()\n",
"| | | | | | | ___pyct_anno={QN: ag__.match_staging_level}\n",
"| | | | | | args=[\n",
"| | | | | | | Num:\n",
"| | | | | | | | n=1\n",
"| | | | | | | Name:\n",
"| | | | | | | | id=u\"cond\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | | | | ]\n",
"| | | | | | keywords=[]\n",
"| | | | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(cond,), w=()}}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(cond, ag__.match_staging_level, ag__), w=()}, LIVE_VARS_IN: frozenset({cond, ag__.match_staging_level, ag__})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(if_false,)}, BODY_SCOPE: Scope{r=(cond, ag__.match_staging_level, ag__), w=()}, LIVE_VARS_IN: frozenset({if_true, ag__.is_undefined_return, get_state, inputs, ag__, cond, ag__.match_staging_level, ag__.if_stmt, set_state})}\n",
"| | Expr:\n",
"| | | value=Call:\n",
"| | | | func=Attribute:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"ag__\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | attr=u\"if_stmt\"\n",
"| | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={QN: ag__.if_stmt}\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"cond\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"if_true\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: if_true, DEFINITIONS: (AnnotatedDef[140265652958824],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"if_false\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: if_false, DEFINITIONS: (AnnotatedDef[140265652959944],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"get_state\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: get_state, DEFINITIONS: (AnnotatedDef[140265652860072],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"set_state\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: set_state, DEFINITIONS: (AnnotatedDef[140265652859400],)}\n",
"| | | | ]\n",
"| | | | keywords=[]\n",
"| | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(if_true, if_false, get_state, cond, set_state), w=()}}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(if_true, if_false, get_state, ag__, cond, ag__.if_stmt, set_state), w=()}, LIVE_VARS_OUT: frozenset({ag__.is_undefined_return, inputs, ag__.if_stmt, ag__}), LIVE_VARS_IN: frozenset({if_true, if_false, ag__.is_undefined_return, get_state, ag__, cond, inputs, ag__.if_stmt, set_state})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"do_return\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: do_return, DEFINITIONS: (AnnotatedDef[140265652961232],)}\n",
"| | | ]\n",
"| | | value=NameConstant:\n",
"| | | | value=True\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:14:8, SCOPE: Scope{r=(), w=(do_return,)}, LIVE_VARS_IN: frozenset({ag__.is_undefined_return, inputs, ag__.if_stmt, ag__})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"retval_\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652960000],)}\n",
"| | | ]\n",
"| | | value=Name:\n",
"| | | | id=u\"inputs\"\n",
"| | | | ctx=Load()\n",
"| | | | annotation=None\n",
"| | | | ___pyct_anno={ORIG_DEFINITIONS: (AnnotatedDef[140265652958432],), ORIGIN: <ipython-input-3-f79ad338da3a>:14:15, QN: inputs, DEFINITIONS: (AnnotatedDef[140265652225584],)}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:14:8, SCOPE: Scope{r=(inputs,), w=(retval_,)}, LIVE_VARS_IN: frozenset({ag__.is_undefined_return, inputs, ag__.if_stmt, ag__})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"cond_1\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: cond_1, DEFINITIONS: (AnnotatedDef[140265652958376],)}\n",
"| | | ]\n",
"| | | value=Call:\n",
"| | | | func=Attribute:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"ag__\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | attr=u\"is_undefined_return\"\n",
"| | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={QN: ag__.is_undefined_return}\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"retval_\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652960000],)}\n",
"| | | | ]\n",
"| | | | keywords=[]\n",
"| | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(retval_,), w=()}}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(ag__.is_undefined_return, retval_, ag__), w=(cond_1,)}, LIVE_VARS_IN: frozenset({ag__.is_undefined_return, retval_, ag__.if_stmt, ag__})}\n",
"| | FunctionDef:\n",
"| | | name=u\"get_state_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Return:\n",
"| | | | | value=Tuple:\n",
"| | | | | | elts=[]\n",
"| | | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset()}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(get_state_1,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({cond_1, retval_, ag__.if_stmt, ag__})}\n",
"| | FunctionDef:\n",
"| | | name=u\"set_state_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"_\"\n",
"| | | | | | ctx=Param()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: _, DEFINITIONS: (AnnotatedDef[140265652227936],)}\n",
"| | | | ]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=(_,)}}\n",
"| | | body=[\n",
"| | | | Pass:\n",
"| | | | | ___pyct_anno={LIVE_VARS_IN: frozenset()}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(set_state_1,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({get_state_1, ag__, cond_1, retval_, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"if_true_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Assign:\n",
"| | | | | targets=[\n",
"| | | | | | Name:\n",
"| | | | | | | id=u\"retval_\"\n",
"| | | | | | | ctx=Store()\n",
"| | | | | | | annotation=None\n",
"| | | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652959440],)}\n",
"| | | | | ]\n",
"| | | | | value=NameConstant:\n",
"| | | | | | value=None\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(), w=(retval_,)}, LIVE_VARS_IN: frozenset()}\n",
"| | | | Return:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"retval_\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652959440],)}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({retval_})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(if_true_1,)}, BODY_SCOPE: Scope{r=(retval_,), w=(retval_,)}, LIVE_VARS_IN: frozenset({set_state_1, get_state_1, ag__, cond_1, retval_, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"if_false_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Return:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"retval_\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652960000],)}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({retval_})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(if_false_1,)}, BODY_SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({set_state_1, get_state_1, ag__, cond_1, if_true_1, retval_, ag__.if_stmt})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"retval_\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
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"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(get_state,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, cond, ag__.match_staging_level, ag__.if_stmt})}\n",
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"| | | | | | | | | | | | | | ___pyct_anno={ORIG_DEFINITIONS: (AnnotatedDef[140265652958432],), ORIGIN: <ipython-input-3-f79ad338da3a>:12:46, QN: inputs, DEFINITIONS: (AnnotatedDef[140265652225584],)}\n",
"| | | | | | | | | | | | ]\n",
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"| | | | | | | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:12:26, ARGS_SCOPE: Scope{r=(inputs, ag__.ConversionOptions, math_ops, ag__), w=()}}\n",
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"| | | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:12:12, ARGS_SCOPE: Scope{r=(self, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, inputs), w=()}}\n",
"| | | | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:12:12, SCOPE: Scope{r=(self, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, inputs), w=()}, LIVE_VARS_OUT: frozenset({cond, ag__.match_staging_level, ag__}), LIVE_VARS_IN: frozenset({self, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, cond, ag__.match_staging_level})}\n",
"| | | | Return:\n",
"| | | | | value=Call:\n",
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"| | | | | | | value=Name:\n",
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"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | | | | ]\n",
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"| | | | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(cond,), w=()}}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(cond, ag__.match_staging_level, ag__), w=()}, LIVE_VARS_IN: frozenset({cond, ag__.match_staging_level, ag__})}\n",
"| | | ]\n",
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"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(if_true,)}, BODY_SCOPE: Scope{r=(self, ag__.ConversionOptions, ag__.converted_call, math_ops, ag__, ag__.match_staging_level, cond, inputs), w=()}, LIVE_VARS_IN: frozenset({self, ag__.is_undefined_return, get_state, ag__.ConversionOptions, inputs, ag__.converted_call, math_ops, ag__, cond, ag__.match_staging_level, ag__.if_stmt, set_state})}\n",
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"| | | body=[\n",
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"| | | | | | | value=Name:\n",
"| | | | | | | | id=u\"ag__\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | | | attr=u\"match_staging_level\"\n",
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"| | | | | | args=[\n",
"| | | | | | | Num:\n",
"| | | | | | | | n=1\n",
"| | | | | | | Name:\n",
"| | | | | | | | id=u\"cond\"\n",
"| | | | | | | | ctx=Load()\n",
"| | | | | | | | annotation=None\n",
"| | | | | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | | | | ]\n",
"| | | | | | keywords=[]\n",
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"| | | | | ___pyct_anno={SCOPE: Scope{r=(cond, ag__.match_staging_level, ag__), w=()}, LIVE_VARS_IN: frozenset({cond, ag__.match_staging_level, ag__})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(), w=(if_false,)}, BODY_SCOPE: Scope{r=(cond, ag__.match_staging_level, ag__), w=()}, LIVE_VARS_IN: frozenset({if_true, ag__.is_undefined_return, get_state, inputs, ag__, cond, ag__.match_staging_level, ag__.if_stmt, set_state})}\n",
"| | Expr:\n",
"| | | value=Call:\n",
"| | | | func=Attribute:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"ag__\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | attr=u\"if_stmt\"\n",
"| | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={QN: ag__.if_stmt}\n",
"| | | | args=[\n",
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"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: cond, DEFINITIONS: (AnnotatedDef[140265652861864],)}\n",
"| | | | | Name:\n",
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"| | | | | | annotation=None\n",
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"| | | | | Name:\n",
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"| | | | | | ___pyct_anno={QN: if_false, DEFINITIONS: (AnnotatedDef[140265652959944],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"get_state\"\n",
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"| | | | | | annotation=None\n",
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"| | | | | Name:\n",
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"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
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"| | | | ]\n",
"| | | | keywords=[]\n",
"| | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(if_true, if_false, get_state, cond, set_state), w=()}}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:11:8, SCOPE: Scope{r=(if_true, if_false, get_state, ag__, cond, ag__.if_stmt, set_state), w=()}, LIVE_VARS_OUT: frozenset({ag__.is_undefined_return, inputs, ag__.if_stmt, ag__}), LIVE_VARS_IN: frozenset({if_true, if_false, ag__.is_undefined_return, get_state, ag__, cond, inputs, ag__.if_stmt, set_state})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"do_return\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: do_return, DEFINITIONS: (AnnotatedDef[140265652961232],)}\n",
"| | | ]\n",
"| | | value=NameConstant:\n",
"| | | | value=True\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:14:8, SCOPE: Scope{r=(), w=(do_return,)}, LIVE_VARS_IN: frozenset({ag__.is_undefined_return, inputs, ag__.if_stmt, ag__})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"retval_\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652960000],)}\n",
"| | | ]\n",
"| | | value=Name:\n",
"| | | | id=u\"inputs\"\n",
"| | | | ctx=Load()\n",
"| | | | annotation=None\n",
"| | | | ___pyct_anno={ORIG_DEFINITIONS: (AnnotatedDef[140265652958432],), ORIGIN: <ipython-input-3-f79ad338da3a>:14:15, QN: inputs, DEFINITIONS: (AnnotatedDef[140265652225584],)}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:14:8, SCOPE: Scope{r=(inputs,), w=(retval_,)}, LIVE_VARS_IN: frozenset({ag__.is_undefined_return, inputs, ag__.if_stmt, ag__})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"cond_1\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: cond_1, DEFINITIONS: (AnnotatedDef[140265652958376],)}\n",
"| | | ]\n",
"| | | value=Call:\n",
"| | | | func=Attribute:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"ag__\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | attr=u\"is_undefined_return\"\n",
"| | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={QN: ag__.is_undefined_return}\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"retval_\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652960000],)}\n",
"| | | | ]\n",
"| | | | keywords=[]\n",
"| | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(retval_,), w=()}}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(ag__.is_undefined_return, retval_, ag__), w=(cond_1,)}, LIVE_VARS_IN: frozenset({ag__.is_undefined_return, retval_, ag__.if_stmt, ag__})}\n",
"| | FunctionDef:\n",
"| | | name=u\"get_state_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Return:\n",
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"| | | | | | elts=[]\n",
"| | | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset()}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(get_state_1,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({cond_1, retval_, ag__.if_stmt, ag__})}\n",
"| | FunctionDef:\n",
"| | | name=u\"set_state_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"_\"\n",
"| | | | | | ctx=Param()\n",
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"| | | | ]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=(_,)}}\n",
"| | | body=[\n",
"| | | | Pass:\n",
"| | | | | ___pyct_anno={LIVE_VARS_IN: frozenset()}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(set_state_1,)}, BODY_SCOPE: Scope{r=(), w=()}, LIVE_VARS_IN: frozenset({get_state_1, ag__, cond_1, retval_, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"if_true_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
"| | | | Assign:\n",
"| | | | | targets=[\n",
"| | | | | | Name:\n",
"| | | | | | | id=u\"retval_\"\n",
"| | | | | | | ctx=Store()\n",
"| | | | | | | annotation=None\n",
"| | | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652959440],)}\n",
"| | | | | ]\n",
"| | | | | value=NameConstant:\n",
"| | | | | | value=None\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(), w=(retval_,)}, LIVE_VARS_IN: frozenset()}\n",
"| | | | Return:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"retval_\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652959440],)}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({retval_})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(if_true_1,)}, BODY_SCOPE: Scope{r=(retval_,), w=(retval_,)}, LIVE_VARS_IN: frozenset({set_state_1, get_state_1, ag__, cond_1, retval_, ag__.if_stmt})}\n",
"| | FunctionDef:\n",
"| | | name=u\"if_false_1\"\n",
"| | | args=arguments:\n",
"| | | | args=[]\n",
"| | | | vararg=None\n",
"| | | | kwonlyargs=[]\n",
"| | | | kw_defaults=[]\n",
"| | | | kwarg=None\n",
"| | | | defaults=[]\n",
"| | | | ___pyct_anno={SCOPE: Scope{r=(), w=()}}\n",
"| | | body=[\n",
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"| | | | | value=Name:\n",
"| | | | | | id=u\"retval_\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652960000],)}\n",
"| | | | | ___pyct_anno={SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({retval_})}\n",
"| | | ]\n",
"| | | decorator_list=[]\n",
"| | | returns=None\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(if_false_1,)}, BODY_SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({set_state_1, get_state_1, ag__, cond_1, if_true_1, retval_, ag__.if_stmt})}\n",
"| | Assign:\n",
"| | | targets=[\n",
"| | | | Name:\n",
"| | | | | id=u\"retval_\"\n",
"| | | | | ctx=Store()\n",
"| | | | | annotation=None\n",
"| | | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652510392],)}\n",
"| | | ]\n",
"| | | value=Call:\n",
"| | | | func=Attribute:\n",
"| | | | | value=Name:\n",
"| | | | | | id=u\"ag__\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: ag__, DEFINITIONS: ()}\n",
"| | | | | attr=u\"if_stmt\"\n",
"| | | | | ctx=Load()\n",
"| | | | | ___pyct_anno={QN: ag__.if_stmt}\n",
"| | | | args=[\n",
"| | | | | Name:\n",
"| | | | | | id=u\"cond_1\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: cond_1, DEFINITIONS: (AnnotatedDef[140265652958376],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"if_true_1\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: if_true_1, DEFINITIONS: (AnnotatedDef[140265652959664],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"if_false_1\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: if_false_1, DEFINITIONS: (AnnotatedDef[140265652959384],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"get_state_1\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: get_state_1, DEFINITIONS: (AnnotatedDef[140265652959272],)}\n",
"| | | | | Name:\n",
"| | | | | | id=u\"set_state_1\"\n",
"| | | | | | ctx=Load()\n",
"| | | | | | annotation=None\n",
"| | | | | | ___pyct_anno={QN: set_state_1, DEFINITIONS: (AnnotatedDef[140265652957648],)}\n",
"| | | | ]\n",
"| | | | keywords=[]\n",
"| | | | ___pyct_anno={ARGS_SCOPE: Scope{r=(set_state_1, if_true_1, get_state_1, if_false_1, cond_1), w=()}}\n",
"| | | ___pyct_anno={ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(set_state_1, if_true_1, get_state_1, if_false_1, ag__, cond_1, ag__.if_stmt), w=(retval_,)}, LIVE_VARS_IN: frozenset({set_state_1, get_state_1, if_false_1, ag__, cond_1, if_true_1, ag__.if_stmt})}\n",
"| | Return:\n",
"| | | value=Name:\n",
"| | | | id=u\"retval_\"\n",
"| | | | ctx=Load()\n",
"| | | | annotation=None\n",
"| | | | ___pyct_anno={QN: retval_, DEFINITIONS: (AnnotatedDef[140265652510392],)}\n",
"| | | ___pyct_anno={SCOPE: Scope{r=(retval_,), w=()}, LIVE_VARS_IN: frozenset({retval_})}\n",
"| ]\n",
"| decorator_list=[]\n",
"| returns=None\n",
"| ___pyct_anno={'lineno': 1, ORIGIN: <ipython-input-3-f79ad338da3a>:9:4, SCOPE: Scope{r=(), w=(call,)}, BODY_SCOPE: Scope{r=(ag__.is_undefined_return, ag__.converted_call, ag__, self, set_state_1, if_false_1, cond_1, if_false, ag__.UndefinedReturnValue, get_state, ag__.ConversionOptions, training, inputs, if_true, if_true_1, get_state_1, math_ops, cond, ag__.match_staging_level, retval_, ag__.if_stmt, set_state), w=(if_true, if_false, set_state_1, get_state, if_true_1, cond_1, get_state_1, if_false_1, cond, retval_, do_return, set_state)}}\n",
"\n",
"\n",
"\n",
"INFO:tensorflow:Defaults of <function create_converted_entity_factory.<locals>.create_converted_entity.<locals>.tf__call at 0x7f922463db70> : (None,)\n",
"Defaults of <function create_converted_entity_factory.<locals>.create_converted_entity.<locals>.tf__call at 0x7f922463db70> : (None,)\n",
"INFO:tensorflow:Calling <function create_converted_entity_factory.<locals>.create_converted_entity.<locals>.tf__call at 0x7f922463db70> with\n",
" self: <__main__.MyLayer object at 0x7f923b972ac8>\n",
" inputs: Tensor(\"input_1:0\", shape=(?, 3), dtype=float32)\n",
" training: None\n",
"\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
"/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
" np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"Calling <function create_converted_entity_factory.<locals>.create_converted_entity.<locals>.tf__call at 0x7f922463db70> with\n",
" self: <__main__.MyLayer object at 0x7f923b972ac8>\n",
" inputs: Tensor(\"input_1:0\", shape=(?, 3), dtype=float32)\n",
" training: None\n",
"\n",
"\r2/2 [==============================] - 0s 14ms/sample - loss: 0.0000e+00\n",
"{'loss': [0.0]}\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "mvpeabC7_1Cf",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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