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提交 f8740749 authored 作者: Christof Angermueller's avatar Christof Angermueller
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Improve layout d3printing and add examples

上级 40f8ae2e
全部展开 隐藏空白字符变更
内嵌 并排
正在显示 包含 321 行增加 和 211 行删除
doc/d3printing/logreg.html deleted 100644 → 0
浏览文件 @ 40f8ae2e
<!DOCTYPE html>
<html>
<head lang='en'>
<meta charset="utf-8">
<script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script>
<script type='text/javascript' src="http://cpettitt.github.io/project/dagre-d3/v0.1.5/dagre-d3.min.js"></script>
<script type='text/javascript' src="http://cpettitt.github.io/project/graphlib-dot/v0.4.10/graphlib-dot.min.js"></script>
</head>
<body>
<style>
.svg {
}
.nodeRect {
stroke: black;
border: 3px solid black;
fill: lightsteelblue;
}
.nodeText {
color: black;
font-family: courier;
}
.edge {
stroke: black;
stroke-width: 3px;
}
.edgeLabelRect {
fill: white;
}
.edgeLabelText {
fill: limegreen;
font-family: courier;
text-anchor: start;
}
.arrowHead {
stroke: black;
stroke-width: 3px;
fill: black;
}
</style>
<script type="text/javascript">
// Global attributes
var dotGraphDef = 'digraph G { graph [bb="0,0,763,388"]; "DimShuffle{x,0}" [height=0.5, pos="600,282", shape=ellipse, width=2.0339]; "Elemwise{add,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="474,194", shape=ellipse, style=filled, width=3.0624]; "DimShuffle{x,0}" -> "Elemwise{add,no_inplace}" [label="1 TensorType(float64, row)", lp="648,238", pos="e,516.94,210.65 587.13,264.21 578.18,253.39 565.47,239.59 552,230 544.1,224.38 535.16,219.35 526.22,214.97"]; "name=b TensorType(float64, vector)" [fillcolor=green, height=0.5, pos="607,370", shape=box, style=filled, width=3.0903]; "name=b TensorType(float64, vector)" -> "DimShuffle{x,0}" [label="TensorType(float64, vector)", lp="684,326", pos="e,601.39,300.08 605.58,351.6 604.62,339.75 603.32,323.82 602.22,310.29"]; dot [height=0.5, pos="362,282", shape=ellipse, width=0.75]; dot -> "Elemwise{add,no_inplace}" [label="0 TensorType(float64, matrix)", lp="467,238", pos="e,414.72,209.23 365,263.89 367.74,252.92 372.81,239.1 382,230 388.76,223.31 396.93,217.87 405.58,213.46"]; "name=X TensorType(float64, matrix)" [fillcolor=green, height=0.5, pos="114,370", shape=box, style=filled, width=3.1667]; "name=X TensorType(float64, matrix)" -> dot [label="0 TensorType(float64, matrix)", lp="273,326", pos="e,335.37,285 134.04,351.84 148.22,340.57 168.18,326.4 188,318 233.06,298.9 289.18,290.03 325.29,286.04"]; "name=W TensorType(float64, matrix)" [fillcolor=green, height=0.5, pos="362,370", shape=box, style=filled, width=3.2014]; "name=W TensorType(float64, matrix)" -> dot [label="1 TensorType(float64, matrix)", lp="447,326", pos="e,362,300.08 362,351.6 362,339.75 362,323.82 362,310.29"]; Softmax [height=0.5, pos="474,106", shape=ellipse, width=1.1472]; "Elemwise{add,no_inplace}" -> Softmax [label="TensorType(float64, matrix)", lp="554,150", pos="e,474,124.08 474,175.6 474,163.75 474,147.82 474,134.29"]; "TensorType(float64, matrix) id=6" [fillcolor=blue, height=0.5, pos="474,18", shape=box, style=filled, width=2.8403]; Softmax -> "TensorType(float64, matrix) id=6" [label="TensorType(float64, matrix)", lp="554,62", pos="e,474,36.084 474,87.597 474,75.746 474,59.817 474,46.292"]; } ';
var width = 800;
var height = 600;
// Add SVG element
var svg = d3.select('body').append('svg').attr('class', 'svg').attr('width', width).attr('height', height);
var pane = svg.append('g').attr('transform', 'scale(0.8)');
// Definition head of edges
svg.append("defs").append("marker")
.attr("id", 'markerEnd')
.attr("markerWidth", 6)
.attr("markerHeight", 6)
.attr("refX", 5)
.attr("refY", 3)
.attr("orient", "auto")
.append("path")
.attr("d", "M0,0 L6,3 L0,6 Z")
.attr('style', 'arrowHead');
function textWidth(text) {
return text.length * 10.5;
}
// Parse dot graph definition
var graph = {};
var nodes = [];
var edges = [];
var dotGraph = graphlibDot.parse(dotGraphDef);
// TODO: parse from file
var dotWidth = 763;
var dotHeight = 388;
var scaleDotX = d3.scale.linear().domain([0, dotWidth]).range([0, width]);
var scaleDotY = d3.scale.linear().domain([0, dotHeight]).range([0, height]);
// Parse nodes
var i = 0;
for (nodeId in dotGraph._nodes) {
var node = dotGraph._nodes[nodeId];
node.index = i++;
node.value.width = textWidth(node.value.label);
node.value.height = 40;
node.value.cx = node.value.width / 2;
node.value.cy = node.value.height / 2;
node.value.pos = node.value.pos.split(',').map(function(d) {return parseInt(d);});
node.x = scaleDotX(node.value.pos[0]);
node.y = scaleDotY(dotHeight - node.value.pos[1]);
node.fixed = false;
nodes.push(node);
dotGraph._nodes[nodeId] = node;
}
// Parse edges
for (edgeId in dotGraph._edges) {
var edge = dotGraph._edges[edgeId];
edge.source = dotGraph._nodes[edge.u].index;
edge.target = dotGraph._nodes[edge.v].index;
edge.value.width = textWidth(edge.value.label);
edge.value.height = 40;
edges.push(edge);
dotGraph._edges[edgeId] = edge;
}
// Setup graph
graph['nodes'] = nodes;
graph['edges'] = edges;
// Add edges
edges = pane.append('g').attr('id', 'edges').selectAll('path').data(graph['edges']).enter().append('path')
.attr('class', 'edge')
.attr('marker-end', 'url(#markerEnd)');
// Add edge labels
edgeLabels = pane.append('g').attr('id', 'edgeLabels').selectAll('g').data(graph['edges']).enter().append('g')
.attr('opacity', 0)
.on('mouseover', function(d) {d3.select(this).attr('opacity', 1.0);})
.on('mouseout', function(d) {d3.select(this).attr('opacity', 0.0);});
var edgeLabelsRect = edgeLabels.append('rect')
.attr('class', 'edgeLabelRect')
.attr('fill', 'white')
.attr('width', function(d) {return d.value.width;})
.attr('height', function(d) {return d.value.height;});
var edgeLabelsText = edgeLabels.append('text')
.attr('class', 'edgeLabelText')
.attr('dy', function(d) {return 0.5 * d.value.height;})
.text(function(d) {return d.value.label;});
// Add nodes
nodes = pane.append('g').attr('id', 'nodes').selectAll('g').data(graph['nodes']).enter().append('g');
var nodesRect = nodes.append('rect')
.attr('class', 'nodeRect')
.attr('width', function(d) {return d.value.width;})
.attr('height', function(d) {return d.value.height;});
var nodesText = nodes.append('text')
.attr('class', 'nodeText')
.attr('x', 5)
.attr('dy', function(d) {return d.value.height - 15;})
.text(function(d) {return d.value.label;});
// Update graph
function update() {
// Update nodes
nodes.attr('transform', function(d) { return 'translate(' + d.x + ' ' + d.y + ')'; });
// Update edges
edges.attr('d', function(d) {
return 'M' + (d.source.x + d.source.value.cx) + ',' + (d.source.y + d.source.value.cy) + ' L' + (d.target.x + d.target.value.cx) + ',' + (d.target.y - 3);
});
// Update edge labels
edgeLabels.attr('transform', function(d) {
return 'translate(' + (0.5 * (d.source.x + d.source.value.cx + d.target.x + d.target.value.cx) - 0.5 * d.value.width) + ',' + (0.5 * (d.source.y + d.source.value.cy + d.target.y + d.target.value.cy) - 0.5 * d.value.height) + ')';
});
}
// Drag-start event handler
function dragStart(d) {
d3.event.sourceEvent.stopPropagation();
d.fixed = true;
}
// Zoom and translate event handler
function zoom(d) {
pane.attr('transform', 'translate(' + d3.event.translate + ') scale(' + d3.event.scale + ')');
}
// Force layout
var layout = d3.layout.force()
.nodes(graph['nodes'])
.links(graph['edges'])
.size([width, height])
.gravity(0.2)
.charge(-6000)
.linkDistance(75)
.linkStrength(0.1)
.on('tick', update);
// Drag behavour
var drag = layout.drag()
.on('dragstart', dragStart);
nodes.call(drag);
// Zoom behaviour
var bZoom = d3.behavior.zoom()
.scaleExtent([0.2, 8])
.on('zoom', zoom);
svg.call(bZoom);
// Start force layout
layout.start();
</script>
</body>
</html>
doc/d3printing/logreg/logreg.html 0 → 100644
浏览文件 @ f8740749
This source diff could not be displayed because it is too large. You can view the blob instead.
doc/d3printing/logreg.ipynb → doc/d3printing/logreg/logreg.ipynb
浏览文件 @ f8740749
......@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 1,
"metadata": {
"collapsed": false
},
......@@ -11,8 +11,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"The autoreload extension is already loaded. To reload it, use:\n",
" %reload_ext autoreload\n"
"Couldn't import dot_parser, loading of dot files will not be possible.\n"
]
}
],
......@@ -20,8 +19,7 @@
"import numpy as np\n",
"import theano\n",
"import theano.tensor as T\n",
"import theano.d3printing as d3p\n",
"from IPython.display import HTML\n",
"import theano.d3printing.d3printing as d3p\n",
"\n",
"%load_ext autoreload\n",
"%autoreload 2"
......@@ -29,7 +27,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 2,
"metadata": {
"collapsed": false
},
......@@ -41,12 +39,13 @@
"W = theano.shared(np.random.randn(num_in, num_out), name='W', borrow=True)\n",
"b = theano.shared(np.random.randn(num_out), name='b', borrow=True)\n",
"X = T.dmatrix('X')\n",
"y = T.nnet.softmax(X.dot(W) + b)"
"y = T.nnet.softmax(X.dot(W) + b)\n",
"pred = y > 0.5"
]
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 3,
"metadata": {
"collapsed": false
},
......@@ -55,22 +54,48 @@
"name": "stdout",
"output_type": "stream",
"text": [
"The output file is available at logreg.html\n"
"The output file is available at logreg_y.html\n"
]
}
],
"source": [
"html = d3p.d3print(y, 'logreg.html', return_html=True)"
"d3p.d3print(y, 'logreg_y.html')"
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
"source": [
"[open](./logreg_y.html)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The output file is available at logreg_pred.html\n"
]
}
],
"source": [
"d3p.d3print(pred, 'logreg_pred.html')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[open](./logreg_pred.html)"
]
}
],
"metadata": {
......
doc/d3printing/logreg/logreg_pred.html 0 → 100644
浏览文件 @ f8740749
差异被折叠。
doc/d3printing/logreg/logreg_y.html 0 → 100644
浏览文件 @ f8740749
差异被折叠。
theano/d3printing/d3printing.py
浏览文件 @ f8740749
......@@ -51,8 +51,6 @@ def d3print(fct, outfile=None, return_html=False, print_message=True,
f.close()
replace = {
'%% DOT_GRAPH %%': dot_graph,
'%% WIDTH %%': width,
'%% HEIGHT %%': height
}
html = replace_patterns(template, replace)
......
theano/d3printing/tests/dev.html 0 → 100644
浏览文件 @ f8740749
<!DOCTYPE html>
<html>
<head>
<script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script>
<script type='text/javascript' src="http://cpettitt.github.io/project/dagre-d3/v0.1.5/dagre-d3.min.js"></script>
<script type='text/javascript' src="http://cpettitt.github.io/project/graphlib-dot/v0.4.10/graphlib-dot.min.js"></script>
</head>
<body>
<style>
.svg {
margin-left:auto;
margin-right:auto;
display:block;
position: fixed;
border: 0px solid black;
top:0%; left:0%; right:0% bottom=0%
}
.nodeRect {
stroke: black;
border: 3px solid black;
}
.nodeEllipse {
stroke: black;
border: 3px solid black;
}
.nodeText {
color: black;
}
.edge {
stroke: black;
stroke-width: 3px;
cursor: pointer;
}
.edgeLabelRect {
stroke: black;
border: 1px solid black;
fill: skyblue;
opacity: 0.9;
}
.edgeLabelText {
fill: black;
text-anchor: start;
}
.arrowHead {
stroke: black;
stroke-width: 3px;
fill: black;
}
</style>
<script type="text/javascript">
var path='logreg.dot';
var width = 1200;
var height = 900;
// Global attributes
var pad = 10;
d3.select('body').select('svg').remove();
var svg = d3.select('body').append('svg')
.attr('class', 'svg')
.attr('width', '100%')
.attr('height', '100%');
var pane = svg.append('g');
// Definition head of edges
svg.append("defs").append("marker")
.attr("id", 'edgeArrow')
.attr("markerWidth", 6)
.attr("markerHeight", 6)
.attr("refX", 3)
.attr("refY", 3)
.attr("orient", "auto")
.append("path")
.attr("d", "M0,0 L6,3 L0,6 Z")
.attr('style', 'arrowHead');
function textSize(text, attr) {
var t = svg.append('text').text(text);
if (typeof(attr) != 'undefined') {
for (a in attr) {
t.attr(a, attr[a]);
}
}
var bbox = t.node().getBBox();
t.remove();
return bbox;
}
var dotGraph;
var graph = {};
var nodes = [];
var edges = [];
d3.text(path, function(data) {
dotGraph = graphlibDot.parse(data);
// Calculate width and height
var posMax = [0, 0];
for (var nodeId in dotGraph._nodes) {
var node = dotGraph._nodes[nodeId];
node.value.pos = node.value.pos.split(',').map(function(d) {return parseInt(d);});
node.value.width = parseInt(node.value.width);
node.value.height = parseInt(node.value.height);
posMax[0] = Math.max(posMax[0], node.value.pos[0] + node.value.width);
posMax[1] = Math.max(posMax[1], node.value.pos[1] + node.value.height);
}
dotWidth = posMax[0];
dotHeight = posMax[1];
svg.attr('viewBox', '0,0,' + width + ',' + height);
var scaleDotX = d3.scale.linear().domain([0, dotWidth + 100]).range([0, width]);
var scaleDotY = d3.scale.linear().domain([-25, dotHeight + 100]).range([0, height]);
// Parse nodes
var i = 0;
for (nodeId in dotGraph._nodes) {
var node = dotGraph._nodes[nodeId];
node.index = i++;
// x, y is center of node (not corner)
node.x = scaleDotX(node.value.pos[0]);
node.y = scaleDotY(dotHeight - (node.value.pos[1] + node.value.height));
var size = textSize(node.value.label, {'class': 'nodeText'});
node.value.width = size.width + 2 * pad;
node.value.height = size.height + 2 * pad;
node.value.cx = node.value.width / 2;
node.value.cy = node.value.height / 2;
node.fixed = true;
nodes.push(node);
dotGraph._nodes[nodeId] = node;
}
// Parse edges
for (edgeId in dotGraph._edges) {
var edge = dotGraph._edges[edgeId];
edge.source = dotGraph._nodes[edge.u].index;
edge.target = dotGraph._nodes[edge.v].index;
var size = textSize(edge.value.label, {'class': 'edgeLabelText'});
edge.value.width = size.width + 2 * pad;
edge.value.height = size.height + 2 * pad;
edges.push(edge);
dotGraph._edges[edgeId] = edge;
}
// Setup graph
graph['nodes'] = nodes;
graph['edges'] = edges;
var isEdgeOver = false;
var isEdgeLabelOver = false;
// Add edges
edges = pane.append('g').attr('id', 'edges').selectAll('path').data(graph['edges']).enter().append('path')
.attr('class', 'edge')
.attr('marker-mid', 'url(#edgeArrow)')
.on('mouseover', function(d) {
var edgeLabel = pane.select('#edgeLabels .' + d.id);
edgeLabel.attr('style', 'display: inline');
})
.on('mouseout', function(d) {
if (!isEdgeLabelOver) {
var edgeLabel = pane.select('#edgeLabels .' + d.id);
edgeLabel.attr('style', 'display: none');
}
});
// Add edge labels
edgeLabels = pane.append('g').attr('id', 'edgeLabels').selectAll('g').data(graph['edges']).enter().append('g')
.attr('style', 'display: none')
.attr('class', function(d) {return d.id;})
.on('mouseover', function(d) {
isEdgeLabelOver = true;
var edgeLabel = d3.select(this);
edgeLabel.attr('style', 'display: inline');
})
.on('mouseout', function(d) {
var edgeLabel = d3.select(this);
edgeLabel.attr('style', 'display: none');
isEdgeLabelOver = false;
});
var edgeLabelsRect = edgeLabels.append('rect')
.attr('class', 'edgeLabelRect')
.attr('fill', 'white')
.attr('width', function(d) {return d.value.width;})
.attr('height', function(d) {return d.value.height;})
.attr('rx', 5)
.attr('ry', 5);
var edgeLabelsText = edgeLabels.append('text')
.attr('class', 'edgeLabelText')
.attr('x', function(d) {return pad;})
.attr('dy', function(d) {return d.value.height - pad - 5;})
.text(function(d) {return d.value.label;});
// Add nodes
nodes = pane.append('g').attr('id', 'nodes').selectAll('g').data(graph['nodes']).enter().append('g');
function fillColor(f) {
return typeof(f) == 'undefined' ? 'white' : f;
}
nodes.each(function(d) {
sel = d3.select(this);
var shape;
if (d.value.shape == 'ellipse') {
shape = sel.append('ellipse')
.attr('class', 'nodeEllipse')
.attr('cx', d.value.cx)
.attr('cy', d.value.cy)
.attr('rx', d.value.width * 0.6)
.attr('ry', d.value.height * 0.6);
} else {
shape = sel.append('rect')
.attr('class', 'nodeRect')
.attr('width', d.value.width)
.attr('height', d.value.height);
}
shape.attr('fill', fillColor(d.value.fillcolor));
});
var nodesText = nodes.append('text')
.attr('class', 'nodeText')
.attr('x', pad)
.attr('dy', function(d) {return d.value.height - pad - 5;})
.text(function(d) {return d.value.label;});
// Update graph
function updateGraph() {
// Update nodes
nodes.attr('transform', function(d) { return 'translate(' + (d.x - d.value.cx) + ' ' + (d.y - d.value.cy) + ')'; });
// Update edges
edges.attr('d', function(d) {
return 'M' + d.source.x + ',' + d.source.y + ' L' + 0.5 * (d.source.x + d.target.x) + ',' + 0.5 * (d.source.y + d.target.y) + ' L' + d.target.x + ',' + d.target.y;
});
// Update edge labels
edgeLabels.attr('transform', function(d) {
return 'translate(' + (0.5 * (d.source.x + d.target.x - d.value.width)) + ',' + (0.5 * (d.source.y + d.target.y - d.value.height)) + ')';
});
}
// Drag-start event handler
function dragStart(d) {
d3.event.sourceEvent.stopPropagation();
d.fixed = true;
}
// Zoom and translate event handler
function zoom(d) {
pane.attr('transform', 'translate(' + d3.event.translate + ') scale(' + d3.event.scale + ')');
}
// Force layout
var layout = d3.layout.force()
.nodes(graph['nodes'])
.links(graph['edges'])
.size([width, height])
.gravity(0.00)
.charge(-1000)
.linkDistance(50)
.linkStrength(0.1)
.on('tick', updateGraph);
// Drag behavour
var drag = layout.drag()
.on('dragstart', dragStart);
nodes.call(drag);
// Zoom behaviour
var bZoom = d3.behavior.zoom()
.scaleExtent([0.2, 8])
.on('zoom', zoom);
svg.call(bZoom);
// Start force layout
layout.start();
});
</script>
</body>
</html>
theano/d3printing/tests/logreg_pred.dot 0 → 100644
浏览文件 @ f8740749
digraph G { graph [bb="0,0,845,760"]; "DimShuffle{x}" [height=0.5, pos="593,194", shape=ellipse, width=1.8374]; "Elemwise{gt,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="485,106", shape=ellipse, style=filled, width=2.8978]; "DimShuffle{x}" -> "Elemwise{gt,no_inplace}" [label="1 TensorType(float32, (True,))", lp="658.5,150", pos="e,527.05,122.58 584.45,176.15 578.28,165.3 569.09,151.5 558,142 551.48,136.41 543.91,131.5 536.17,127.26"]; "val=0.5 TensorType(float32, scalar)" [fillcolor=limegreen, height=0.5, pos="606,282", shape=box, style=filled, width=3.0278]; "val=0.5 TensorType(float32, scalar)" -> "DimShuffle{x}" [label="TensorType(float32, scalar)", lp="679,238", pos="e,595.58,212.08 603.37,263.6 601.58,251.75 599.17,235.82 597.13,222.29"]; "DimShuffle{x} id=1" [height=0.5, pos="350,566", shape=ellipse, width=2.3721]; "Elemwise{sub,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="461,478", shape=ellipse, style=filled, width=3.0624]; "DimShuffle{x} id=1" -> "Elemwise{sub,no_inplace}" [label="1 TensorType(float64, (True,))", lp="440.5,522", pos="e,385.39,491.23 346.85,547.67 345.89,536.89 346.64,523.35 354,514 360.01,506.36 367.72,500.37 376.25,495.67"]; "name=b TensorType(float64, scalar)" [fillcolor=limegreen, height=0.5, pos="350,654", shape=box, style=filled, width=3.0625]; "name=b TensorType(float64, scalar)" -> "DimShuffle{x} id=1" [label="TensorType(float64, scalar)", lp="428,610", pos="e,350,584.08 350,635.6 350,623.75 350,607.82 350,594.29"]; dot [height=0.5, pos="564,654", shape=ellipse, width=0.75]; "Elemwise{neg,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="564,566", shape=ellipse, style=filled, width=3.0624]; dot -> "Elemwise{neg,no_inplace}" [label="TensorType(float64, vector)", lp="643,610", pos="e,564,584.08 564,635.6 564,623.75 564,607.82 564,594.29"]; "name=x TensorType(float64, matrix)" [fillcolor=limegreen, height=0.5, pos="442,742", shape=box, style=filled, width=3.1181]; "name=x TensorType(float64, matrix)" -> dot [label="0 TensorType(float64, matrix)", lp="579,698", pos="e,541.56,664.07 456.77,724 466.61,713.35 480.21,699.84 494,690 505.81,681.57 519.95,674.09 532.42,668.22"]; "name=w TensorType(float64, vector)" [fillcolor=limegreen, height=0.5, pos="686,742", shape=box, style=filled, width=3.1389]; "name=w TensorType(float64, vector)" -> dot [label="1 TensorType(float64, vector)", lp="760.5,698", pos="e,590.41,658.28 682.35,723.78 679.2,712.78 673.59,698.94 664,690 646.54,673.73 621.08,664.96 600.23,660.27"]; "DimShuffle{x} id=3" [height=0.5, pos="247,390", shape=ellipse, width=2.3721]; "Elemwise{add,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="369,282", shape=ellipse, style=filled, width=3.0624]; "DimShuffle{x} id=3" -> "Elemwise{add,no_inplace}" [label="0 TensorType(int8, (True,))", lp="334,336", pos="e,290.21,294.6 244.34,371.76 242.92,355.96 243.54,332.85 256,318 262.8,309.89 271.45,303.63 280.91,298.8"]; "val=1 TensorType(int8, scalar)" [fillcolor=limegreen, height=0.5, pos="162,478", shape=box, style=filled, width=2.6389]; "val=1 TensorType(int8, scalar)" -> "DimShuffle{x} id=3" [label="TensorType(int8, scalar)", lp="305.5,434", pos="e,242.68,408.18 202.18,459.88 210.48,455 218.62,449.05 225,442 231.23,435.11 235.89,426.19 239.27,417.74"]; "DimShuffle{x} id=4" [height=0.5, pos="85,336", shape=ellipse, width=2.3721]; "val=1 TensorType(int8, scalar)" -> "DimShuffle{x} id=4" [label="TensorType(int8, scalar)", lp="151.5,434", pos="e,78.928,354.24 101.1,459.78 93.551,455.18 86.813,449.36 82,442 66.938,418.97 70.674,386.61 76.281,363.92"]; "Elemwise{true_div,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="369,194", shape=ellipse, style=filled, width=3.5561]; "DimShuffle{x} id=4" -> "Elemwise{true_div,no_inplace}" [label="0 TensorType(int8, (True,))", lp="172,282", pos="e,277.79,206.71 82.19,317.91 80.604,301.99 81.056,278.59 94,264 117.19,237.85 199.28,219.48 267.79,208.3"]; "Elemwise{neg,no_inplace}" -> "Elemwise{sub,no_inplace}" [label="0 TensorType(float64, vector)", lp="629.5,522", pos="e,501.82,494.86 555.83,547.71 550.08,536.96 541.53,523.42 531,514 525.02,508.65 518.07,503.9 510.93,499.77"]; "Elemwise{exp,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="461,390", shape=ellipse, style=filled, width=3.0624]; "Elemwise{sub,no_inplace}" -> "Elemwise{exp,no_inplace}" [label="TensorType(float64, vector)", lp="540,434", pos="e,461,408.08 461,459.6 461,447.75 461,431.82 461,418.29"]; "Elemwise{exp,no_inplace}" -> "Elemwise{add,no_inplace}" [label="1 TensorType(float64, vector)", lp="526.5,336", pos="e,394.8,299.6 452.54,372.02 444.46,356.82 431.28,334.48 416,318 412.01,313.7 407.43,309.56 402.74,305.73"]; "Elemwise{add,no_inplace}" -> "Elemwise{true_div,no_inplace}" [label="1 TensorType(float64, vector)", lp="453.5,238", pos="e,369,212.08 369,263.6 369,251.75 369,235.82 369,222.29"]; "Elemwise{true_div,no_inplace}" -> "Elemwise{gt,no_inplace}" [label="0 TensorType(float64, vector)", lp="469.5,150", pos="e,419.59,120.09 370.47,175.87 372.26,164.9 376.22,151.07 385,142 392.17,134.59 401,128.74 410.42,124.14"]; "TensorType(int8, vector)" [fillcolor=dodgerblue, height=0.5, pos="485,18", shape=box, style=filled, width=2.1736]; "Elemwise{gt,no_inplace}" -> "TensorType(int8, vector)" [label="TensorType(int8, vector)", lp="555.5,62", pos="e,485,36.084 485,87.597 485,75.746 485,59.817 485,46.292"]; }
theano/d3printing/tests/logreg_y.dot 0 → 100644
浏览文件 @ f8740749
digraph G { graph [bb="0,0,763,388"]; "DimShuffle{x,0}" [height=0.5, pos="600,282", shape=ellipse, width=2.0339]; "Elemwise{add,no_inplace}" [fillcolor="#FFAABB", height=0.5, pos="474,194", shape=ellipse, style=filled, width=3.0624]; "DimShuffle{x,0}" -> "Elemwise{add,no_inplace}" [label="1 TensorType(float64, row)", lp="648,238", pos="e,516.94,210.65 587.13,264.21 578.18,253.39 565.47,239.59 552,230 544.1,224.38 535.16,219.35 526.22,214.97"]; "name=b TensorType(float64, vector)" [fillcolor=limegreen, height=0.5, pos="607,370", shape=box, style=filled, width=3.0903]; "name=b TensorType(float64, vector)" -> "DimShuffle{x,0}" [label="TensorType(float64, vector)", lp="684,326", pos="e,601.39,300.08 605.58,351.6 604.62,339.75 603.32,323.82 602.22,310.29"]; dot [height=0.5, pos="362,282", shape=ellipse, width=0.75]; dot -> "Elemwise{add,no_inplace}" [label="0 TensorType(float64, matrix)", lp="467,238", pos="e,414.72,209.23 365,263.89 367.74,252.92 372.81,239.1 382,230 388.76,223.31 396.93,217.87 405.58,213.46"]; "name=X TensorType(float64, matrix)" [fillcolor=limegreen, height=0.5, pos="114,370", shape=box, style=filled, width=3.1667]; "name=X TensorType(float64, matrix)" -> dot [label="0 TensorType(float64, matrix)", lp="273,326", pos="e,335.37,285 134.04,351.84 148.22,340.57 168.18,326.4 188,318 233.06,298.9 289.18,290.03 325.29,286.04"]; "name=W TensorType(float64, matrix)" [fillcolor=limegreen, height=0.5, pos="362,370", shape=box, style=filled, width=3.2014]; "name=W TensorType(float64, matrix)" -> dot [label="1 TensorType(float64, matrix)", lp="447,326", pos="e,362,300.08 362,351.6 362,339.75 362,323.82 362,310.29"]; Softmax [height=0.5, pos="474,106", shape=ellipse, width=1.1472]; "Elemwise{add,no_inplace}" -> Softmax [label="TensorType(float64, matrix)", lp="554,150", pos="e,474,124.08 474,175.6 474,163.75 474,147.82 474,134.29"]; "TensorType(float64, matrix) id=6" [fillcolor=dodgerblue, height=0.5, pos="474,18", shape=box, style=filled, width=2.8403]; Softmax -> "TensorType(float64, matrix) id=6" [label="TensorType(float64, matrix)", lp="554,62", pos="e,474,36.084 474,87.597 474,75.746 474,59.817 474,46.292"]; }
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