scisharp
/
TensorFlow.NET
Not watched
1
0
Fork 0
Code
Releases 21 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
Browse Source

ported ControlDependenciesTest.TestComplex, works

tags/v0.9
Meinrad Recheis 6 years ago
parent
e27bf7bb83
commit
ab7aec1951
1 changed files with 95 additions and 139 deletions
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. +95
    -139
      test/TensorFlowNET.UnitTest/ControlDependenciesTest.cs

+ 95
- 139
test/TensorFlowNET.UnitTest/ControlDependenciesTest.cs View File

@@ -70,7 +70,7 @@ namespace TensorFlowNET.UnitTest
{
a = constant_op.constant(1.0);
var b1 = future();
with(g.control_dependencies(new [] { a, b}), ctrl =>
with(g.control_dependencies(new[] { a, b }), ctrl =>
{
c = constant_op.constant(3.0);
});
@@ -170,155 +170,111 @@ namespace TensorFlowNET.UnitTest
var a_3 = constant_op.constant(4.0);
var a_4 = constant_op.constant(5.0);
Operation b_3_4 = null, b_3 = null, b_none = null, b_1 = null, b_1_2 = null, b_none2 = null;
with(g.control_dependencies(new[] { a_1 }), ctrl1 =>
{
with(g.control_dependencies(new[] { a_2 }), ctrl2 =>
{
with(g.control_dependencies(null), ctrl3 =>
{
with(g.control_dependencies(new[] { a_3 }), ctrl4 =>
{
with(g.control_dependencies(new[] { a_4 }), ctrl5 =>
{
// deps [a_3, a_4]
b_3_4 = constant_op.constant(7.0);
});
// deps = [a_3]
b_3 = constant_op.constant(8.0);
});
// deps back to None
b_none = constant_op.constant(9.0);
});
// deps back to [a_1, a_2]
b_1_2 = constant_op.constant(10.0);
});
// deps back to [a_1]
b_1 = constant_op.constant(11.0);
with(g.control_dependencies(null), ctrl6 =>
{
// deps are None again
b_none2 = constant_op.constant(12.0);
});
});
AssertItemsEqual(new[] {a_3.op, a_4.op}, b_3_4.op.control_inputs);
AssertItemsEqual(new[] {a_3.op}, b_3.op.control_inputs);
with(g.control_dependencies(new[] { a_1 }), ctrl1 =>
{
with(g.control_dependencies(new[] { a_2 }), ctrl2 =>
{
with(g.control_dependencies(null), ctrl3 =>
{
with(g.control_dependencies(new[] { a_3 }), ctrl4 =>
{
with(g.control_dependencies(new[] { a_4 }), ctrl5 =>
{
// deps [a_3, a_4]
b_3_4 = constant_op.constant(7.0);
});
// deps = [a_3]
b_3 = constant_op.constant(8.0);
});
// deps back to None
b_none = constant_op.constant(9.0);
});
// deps back to [a_1, a_2]
b_1_2 = constant_op.constant(10.0);
});
// deps back to [a_1]
b_1 = constant_op.constant(11.0);
with(g.control_dependencies(null), ctrl6 =>
{
// deps are None again
b_none2 = constant_op.constant(12.0);
});
});
AssertItemsEqual(new[] { a_3.op, a_4.op }, b_3_4.op.control_inputs);
AssertItemsEqual(new[] { a_3.op }, b_3.op.control_inputs);
AssertItemsEqual(new object[0], b_none.op.control_inputs);
AssertItemsEqual(new[] {a_1.op, a_2.op}, b_1_2.op.control_inputs);
AssertItemsEqual(new[] {a_1.op}, b_1.op.control_inputs);
AssertItemsEqual(new[] { a_1.op, a_2.op }, b_1_2.op.control_inputs);
AssertItemsEqual(new[] { a_1.op }, b_1.op.control_inputs);
AssertItemsEqual(new object[0], b_none2.op.control_inputs);
/*
def testClear(self):
g = ops.Graph()
a_1 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
a_2 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
a_3 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
a_4 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
with g.control_dependencies([a_1]):
with g.control_dependencies([a_2]):
with g.control_dependencies(None):
with g.control_dependencies([a_3]):
with g.control_dependencies([a_4]):
# deps [a_3, a_4]
b_3_4 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
# deps = [a_3]
b_3 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
# deps back to None
b_none = _apply_op(g, "FloatOutput", [], [dtypes.float32])
# deps back to [a_1, a_2]
b_1_2 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
# deps back to [a_1]
b_1 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
with g.control_dependencies(None):
# deps are None again
b_none2 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
self.assertItemsEqual([a_3.op, a_4.op], b_3_4.op.control_inputs)
self.assertItemsEqual([a_3.op], b_3.op.control_inputs)
self.assertItemsEqual([], b_none.op.control_inputs)
self.assertItemsEqual([a_1.op, a_2.op], b_1_2.op.control_inputs)
self.assertItemsEqual([a_1.op], b_1.op.control_inputs)
self.assertItemsEqual([], b_none2.op.control_inputs)
*/
}
[Ignore("will fail due to unsupported op 'FloatOutput'")]
[TestMethod]
public void TestComplex()
{
/*
def testComplex(self):
g = ops.Graph()
# Usage pattern:
# * Nodes a_i are constants defined at the outermost scope, and are used
# as control inputs for the ith nested scope.
# * Nodes b_i are defined as Mul(a_3, a_4) at each scope.
# * Nodes c_i are defined as Mul(a_1, b_1) at each scope.
# * Nodes d_i are defined as Mul(b_i, c_i) at each scope.
# * Nodes e_i are defined as Mul(e_i-1, e_i-1) at each scope i > 1.
a_1 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
a_2 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
a_3 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
a_4 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
with g.control_dependencies([a_1]):
b_1 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_3, a_4],
[dtypes.float32])
c_1 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_1, b_1],
[dtypes.float32])
d_1 = _apply_op(g, "TwoFloatInputsFloatOutput", [b_1, c_1],
[dtypes.float32])
e_1 = _apply_op(g, "FloatOutput", [], [dtypes.float32])
with g.control_dependencies([a_2]):
b_2 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_3, a_4],
[dtypes.float32])
c_2 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_1, b_1],
[dtypes.float32])
d_2 = _apply_op(g, "TwoFloatInputsFloatOutput", [b_2, c_2],
[dtypes.float32])
e_2 = _apply_op(g, "TwoFloatInputsFloatOutput", [e_1, e_1],
[dtypes.float32])
with g.control_dependencies([a_3]):
b_3 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_3, a_4],
[dtypes.float32])
c_3 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_1, b_1],
[dtypes.float32])
d_3 = _apply_op(g, "TwoFloatInputsFloatOutput", [b_3, c_3],
[dtypes.float32])
e_3 = _apply_op(g, "TwoFloatInputsFloatOutput", [e_2, e_2],
[dtypes.float32])
with g.control_dependencies([a_4]):
b_4 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_3, a_4],
[dtypes.float32])
c_4 = _apply_op(g, "TwoFloatInputsFloatOutput", [a_1, b_1],
[dtypes.float32])
d_4 = _apply_op(g, "TwoFloatInputsFloatOutput", [b_4, c_4],
[dtypes.float32])
e_4 = _apply_op(g, "TwoFloatInputsFloatOutput", [e_3, e_3],
[dtypes.float32])
var g = tf.Graph().as_default();
// Usage pattern:
// * Nodes a_i are constants defined at the outermost scope, and are used
// as control inputs for the ith nested scope.
// * Nodes b_i are defined as Mul(a_3, a_4) at each scope.
// * Nodes c_i are defined as Mul(a_1, b_1) at each scope.
// * Nodes d_i are defined as Mul(b_i, c_i) at each scope.
// * Nodes e_i are defined as Mul(e_i-1, e_i-1) at each scope i > 1.
var a_1 = constant_op.constant(1.0);
var a_2 = constant_op.constant(2.0);
var a_3 = constant_op.constant(3.0);
var a_4 = constant_op.constant(4.0);
Operation b_1 = null, b_2 = null, b_3 = null, b_4 = null;
Operation c_1 = null, c_2 = null, c_3 = null, c_4 = null;
Operation d_1 = null, d_2 = null, d_3 = null, d_4 = null;
Operation e_1 = null, e_2 = null, e_3 = null, e_4 = null;
with(g.control_dependencies(new[] { a_1 }), ctrl1 =>
{
b_1 = tf.multiply(a_3, a_4);
c_1 = tf.multiply(a_1, b_1.output);
d_1 = tf.multiply(b_1.output, c_1.output);
e_1 = constant_op.constant(5.0);
with(g.control_dependencies(new[] { a_2 }), ctrl2 =>
{
b_2 = tf.multiply(a_3, a_4);
c_2 = tf.multiply(a_1, b_1.output);
d_2 = tf.multiply(b_2.output, c_2.output);
e_2 = tf.multiply(e_1.output, e_1.output);
with(g.control_dependencies(new[] { a_3 }), ctrl3 =>
{
b_3 = tf.multiply(a_3, a_4);
c_3 = tf.multiply(a_1, b_1.output);
d_3 = tf.multiply(b_3.output, c_3.output);
e_3 = tf.multiply(e_2.output, e_2.output);
with(g.control_dependencies(new[] { a_4 }), ctrl4 =>
{
b_4 = tf.multiply(a_3, a_4);
c_4 = tf.multiply(a_1, b_1.output);
d_4 = tf.multiply(b_4.output, c_4.output);
e_4 = tf.multiply(e_3.output, e_3.output);
});
});
});
});
self.assertItemsEqual([a_1.op], b_1.op.control_inputs)
self.assertItemsEqual([a_1.op, a_2.op], b_2.op.control_inputs)
self.assertItemsEqual([a_1.op, a_2.op], b_3.op.control_inputs)
self.assertItemsEqual([a_1.op, a_2.op], b_4.op.control_inputs)
AssertItemsEqual(new[] {a_1.op}, b_1.op.control_inputs);
AssertItemsEqual(new[] {a_1.op, a_2.op}, b_2.op.control_inputs);
AssertItemsEqual(new[] { a_1.op, a_2.op}, b_3.op.control_inputs);
AssertItemsEqual(new[] {a_1.op, a_2.op}, b_4.op.control_inputs);
self.assertItemsEqual([], c_1.op.control_inputs)
self.assertItemsEqual([a_2.op], c_2.op.control_inputs)
self.assertItemsEqual([a_2.op, a_3.op], c_3.op.control_inputs)
self.assertItemsEqual([a_2.op, a_3.op, a_4.op], c_4.op.control_inputs)
AssertItemsEqual(new object[0], c_1.op.control_inputs);
AssertItemsEqual(new[] {a_2.op}, c_2.op.control_inputs);
AssertItemsEqual(new[] {a_2.op, a_3.op}, c_3.op.control_inputs);
AssertItemsEqual(new[] {a_2.op, a_3.op, a_4.op}, c_4.op.control_inputs);
self.assertItemsEqual([], d_1.op.control_inputs)
self.assertItemsEqual([], d_2.op.control_inputs)
self.assertItemsEqual([], d_3.op.control_inputs)
self.assertItemsEqual([], d_4.op.control_inputs)
AssertItemsEqual(new object[0], d_1.op.control_inputs);
AssertItemsEqual(new object[0], d_2.op.control_inputs);
AssertItemsEqual(new object[0], d_3.op.control_inputs);
AssertItemsEqual(new object[0], d_4.op.control_inputs);
self.assertItemsEqual([a_1.op], e_1.op.control_inputs)
self.assertItemsEqual([a_2.op], e_2.op.control_inputs)
self.assertItemsEqual([a_3.op], e_3.op.control_inputs)
self.assertItemsEqual([a_4.op], e_4.op.control_inputs)
*/
AssertItemsEqual(new[] {a_1.op}, e_1.op.control_inputs);
AssertItemsEqual(new[] {a_2.op}, e_2.op.control_inputs);
AssertItemsEqual(new[] {a_3.op}, e_3.op.control_inputs);
AssertItemsEqual(new[] {a_4.op}, e_4.op.control_inputs);
}
[Ignore("will fail due to unsupported op 'FloatOutput'")]


Write Preview
Loading…
Cancel
Save