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optimize_dataset_v2 · MSavameri/TensorFlow.NET@d4f3df2 · GitHub

  1. MSavameri
  2. TensorFlow.NET

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Commit d4f3df2

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Oceania2018
committed
optimize_dataset_v2
1 parent bf91102 commit d4f3df2

11 files changed

Lines changed: 80 additions & 42 deletions

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‎src/TensorFlowNET.Core/Data/DatasetV2.cs‎

Lines changed: 21 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -82,33 +82,40 @@ public OwnedIterator make_one_shot_iterator()
8282
public IDatasetV2 flat_map(Func<Tensor, IDatasetV2> map_func)
8383
=> new FlatMapDataset(this, map_func);
8484

85-
public IDatasetV2 model(AutotuneAlgorithm algorithm, long cpu_budget)
86-
=> new ModelDataset(this, algorithm, cpu_budget);
85+
public IDatasetV2 model(AutotuneAlgorithm algorithm, long cpu_budget, long ram_budget)
86+
=> new ModelDataset(this, algorithm, cpu_budget, ram_budget);
8787

8888
public IDatasetV2 with_options(DatasetOptions options)
8989
=> new OptionsDataset(this, options);
9090

9191
public IDatasetV2 apply_options()
9292
{
93+
IDatasetV2 dataset = this;
9394
// (1) Apply threading options
95+
96+
// (2) Apply autotune options
97+
var autotune = true;
98+
long cpu_budget = 0;
99+
long ram_budget = 0;
100+
if (autotune)
101+
dataset = dataset.model(AutotuneAlgorithm.HILL_CLIMB, cpu_budget, ram_budget);
102+
103+
// (3) Apply graph rewrite options
94104
var graph_rewrites = new[]
95105
{
96-
"map_and_batch_fusion",
97106
"noop_elimination",
107+
"map_and_batch_fusion",
98108
"shuffle_and_repeat_fusion"
99109
};
110+
var graph_rewrite_configs = new string[]
111+
{
112+
"autotune_buffer_sizes:autotune:true",
113+
"disable_prefetch_legacy_autotune:autotune:true",
114+
"enable_gradient_descent:autotune:true",
115+
"map_parallelization:autotune:true"
116+
};
100117

101-
var graph_rewrite_configs = new string[0];
102-
103-
// (2) Apply graph rewrite options
104-
var dataset = optimize(graph_rewrites, graph_rewrite_configs);
105-
106-
// (3) Apply autotune options
107-
var autotune = true;
108-
long cpu_budget = 0;
109-
110-
if (autotune)
111-
dataset = dataset.model(AutotuneAlgorithm.HILL_CLIMB, cpu_budget);
118+
dataset = new OptimizeDataset(dataset, new string[0], new string[0], graph_rewrites, graph_rewrite_configs);
112119

113120
// (4) Apply stats aggregator options
114121

‎src/TensorFlowNET.Core/Data/IDatasetV2.cs‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -76,7 +76,7 @@ IDatasetV2 map(Func<Tensors, Tensors> map_func,
7676

7777
IDatasetV2 flat_map(Func<Tensor, IDatasetV2> map_func);
7878

79-
IDatasetV2 model(AutotuneAlgorithm algorithm, long cpu_budget);
79+
IDatasetV2 model(AutotuneAlgorithm algorithm, long cpu_budget, long ram_budget);
8080

8181
IDatasetV2 with_options(DatasetOptions options);
8282

‎src/TensorFlowNET.Core/Data/ModelDataset.cs‎

Lines changed: 4 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -9,14 +9,16 @@ public class ModelDataset : UnaryUnchangedStructureDataset
99
{
1010
public ModelDataset(IDatasetV2 input_dataset,
1111
AutotuneAlgorithm algorithm,
12-
long cpu_budget) :
12+
long cpu_budget,
13+
long ram_budget) :
1314
base(input_dataset)
1415
{
1516
variant_tensor = ops.model_dataset(input_dataset.variant_tensor,
1617
output_types,
1718
output_shapes,
1819
algorithm,
19-
cpu_budget);
20+
cpu_budget,
21+
ram_budget);
2022
}
2123
}
2224
}

‎src/TensorFlowNET.Core/Data/OptimizeDataset.cs‎

Lines changed: 17 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -8,19 +8,30 @@ namespace Tensorflow
88
public class OptimizeDataset : UnaryUnchangedStructureDataset
99
{
1010
public OptimizeDataset(IDatasetV2 dataset,
11-
string[] optimizations = null,
11+
string[] optimizations_enabled = null,
12+
string[] optimizations_disabled = null,
13+
string[] optimizations_default = null,
1214
string[] optimization_configs = null) :
1315
base(dataset)
1416
{
15-
if (optimizations == null)
16-
optimizations = new string[0];
17+
if (optimizations_enabled == null)
18+
optimizations_enabled = new string[0];
19+
if (optimizations_disabled == null)
20+
optimizations_disabled = new string[0];
21+
if (optimizations_default == null)
22+
optimizations_default = new string[0];
1723
if (optimization_configs == null)
1824
optimization_configs = new string[0];
1925

20-
var _optimizations = tf.convert_to_tensor(optimizations, dtype: TF_DataType.TF_STRING, name: "optimizations");
21-
variant_tensor = ops.optimize_dataset(
26+
var _optimizations_enabled = tf.convert_to_tensor(optimizations_enabled, dtype: TF_DataType.TF_STRING, name: "optimizations_enabled");
27+
var _optimizations_disabled = tf.convert_to_tensor(optimizations_disabled, dtype: TF_DataType.TF_STRING, name: "optimizations_disabled");
28+
var _optimizations_default = tf.convert_to_tensor(optimizations_default, dtype: TF_DataType.TF_STRING, name: "optimizations_default");
29+
30+
variant_tensor = ops.optimize_dataset_v2(
2231
_input_dataset.variant_tensor,
23-
_optimizations,
32+
_optimizations_enabled,
33+
_optimizations_disabled,
34+
_optimizations_default,
2435
output_types,
2536
output_shapes,
2637
optimization_configs: optimization_configs);

‎src/TensorFlowNET.Core/Eager/EagerRunner.TFE_FastPathExecute.cs‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -295,7 +295,7 @@ bool SetOpAttrList(Context ctx, SafeOpHandle op,
295295
{
296296
if (type == TF_AttrType.TF_ATTR_STRING && values is string[] values3)
297297
{
298-
c_api.TFE_OpSetAttrStringList(op, key, new IntPtr[0], values3.Select(x => x.Length).ToArray(), values3.Length);
298+
c_api.TFE_OpSetAttrStringList(op, key, values3, values3.Select(x => Convert.ToUInt64(x.Length)).ToArray(), values3.Length);
299299
attr_list_sizes[key] = values3.Length;
300300
}
301301
else if (type == TF_AttrType.TF_ATTR_SHAPE && values is TensorShape[] values1)

‎src/TensorFlowNET.Core/Eager/c_api.eager.cs‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -252,7 +252,7 @@ public static void TFE_Execute(SafeOpHandle op, SafeTensorHandleHandle[] retvals
252252
public static extern void TFE_OpSetAttrShapeList(SafeOpHandle op, string attr_name, IntPtr[] dims, int[] num_dims, int num_values, SafeStatusHandle out_status);
253253

254254
[DllImport(TensorFlowLibName)]
255-
public static extern void TFE_OpSetAttrStringList(SafeOpHandle op, string attr_name, IntPtr[] values, int[] lengths, int num_values);
255+
public static extern void TFE_OpSetAttrStringList(SafeOpHandle op, string attr_name, string[] values, ulong[] lengths, int num_values);
256256

257257
[DllImport(TensorFlowLibName)]
258258
public static extern void TFE_OpSetAttrBool(SafeOpHandle op, string attr_name, bool value);

src/TensorFlowNET.Core/Framework/random_seed.py.cs renamed to src/TensorFlowNET.Core/Framework/random_seed.cs

Lines changed: 13 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -67,8 +67,19 @@ public static (Tensor, Tensor) get_seed_tensor(int? op_seed = null)
6767
if (seed2 is null)
6868
_seed2 = constant_op.constant(0, dtype: TF_DataType.TF_INT64, name: "seed2");
6969
else
70-
_seed2 = constant_op.constant(seed2.Value, dtype: TF_DataType.TF_INT64, name: "seed2");
71-
70+
{
71+
_seed2 = tf_with(ops.name_scope("seed2"), scope =>
72+
{
73+
_seed2 = constant_op.constant(seed2.Value, dtype: TF_DataType.TF_INT64);
74+
return array_ops.where_v2(
75+
math_ops.logical_and(
76+
math_ops.equal(_seed, 0l), math_ops.equal(_seed2, 0l)),
77+
constant_op.constant(2^31 - 1, dtype: dtypes.int64),
78+
_seed2,
79+
name: scope);
80+
});
81+
}
82+
7283
return (_seed, _seed2);
7384
}
7485
}

‎src/TensorFlowNET.Core/Operations/dataset_ops.cs‎

Lines changed: 16 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -168,6 +168,20 @@ public Tensor optimize_dataset(Tensor input_dataset, Tensor optimizations,
168168
optimization_configs = optimization_configs ?? new string[0]
169169
}));
170170

171+
public Tensor optimize_dataset_v2(Tensor input_dataset, Tensor optimizations_enabled,
172+
Tensor optimizations_disabled, Tensor optimizations_default,
173+
TF_DataType[] output_types, TensorShape[] output_shapes,
174+
string[] optimization_configs = null,
175+
string name = null)
176+
=> tf.Context.ExecuteOp("OptimizeDatasetV2", name, new ExecuteOpArgs(input_dataset,
177+
optimizations_enabled, optimizations_disabled, optimizations_default)
178+
.SetAttributes(new
179+
{
180+
output_types,
181+
output_shapes,
182+
optimization_configs = optimization_configs ?? new string[0]
183+
}));
184+
171185
/// <summary>
172186
/// Identity transformation that models performance.
173187
/// </summary>
@@ -180,13 +194,14 @@ public Tensor optimize_dataset(Tensor input_dataset, Tensor optimizations,
180194
/// <returns></returns>
181195
public Tensor model_dataset(Tensor input_dataset,
182196
TF_DataType[] output_types, TensorShape[] output_shapes,
183-
AutotuneAlgorithm algorithm, long cpu_budget,
197+
AutotuneAlgorithm algorithm, long cpu_budget, long ram_budget,
184198
string name = null)
185199
=> tf.Context.ExecuteOp("ModelDataset", name, new ExecuteOpArgs(input_dataset)
186200
.SetAttributes(new
187201
{
188202
algorithm,
189203
cpu_budget,
204+
ram_budget,
190205
output_types,
191206
output_shapes
192207
}));

‎src/TensorFlowNET.Core/Operations/gen_math_ops.cs‎

Lines changed: 3 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -327,24 +327,16 @@ public static Tensor log1p(Tensor x, string name = null)
327327
=> tf.Context.ExecuteOp("Log1p", name, new ExecuteOpArgs(x));
328328

329329
public static Tensor logical_and(Tensor x, Tensor y, string name = null)
330-
=> tf.OpDefLib._apply_op_helper("LogicalAnd", name, args: new { x, y });
330+
=> tf.Context.ExecuteOp("LogicalAnd", name, new ExecuteOpArgs(x, y));
331331

332332
public static Tensor logical_and(bool x, bool y, string name = null)
333333
=> tf.Context.ExecuteOp("LogicalAnd", name, new ExecuteOpArgs(x, y));
334334

335335
public static Tensor logical_not(Tensor x, string name = null)
336-
{
337-
var _op = tf.OpDefLib._apply_op_helper("LogicalNot", name, args: new { x });
338-
339-
return _op.outputs[0];
340-
}
336+
=> tf.Context.ExecuteOp("LogicalNot", name, new ExecuteOpArgs(x));
341337

342338
public static Tensor logical_or(Tensor x, Tensor y, string name = null)
343-
{
344-
var _op = tf.OpDefLib._apply_op_helper("LogicalOr", name, args: new { x, y });
345-
346-
return _op.outputs[0];
347-
}
339+
=> tf.Context.ExecuteOp("LogicalOr", name, new ExecuteOpArgs(x, y));
348340

349341
public static Tensor logical_xor(Tensor x, Tensor y, string name = "LogicalXor")
350342
{

‎src/TensorFlowNET.Core/Operations/gen_random_ops.cs‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -77,10 +77,10 @@ public static Tensor random_uniform(Tensor shape, TF_DataType dtype, int? seed =
7777
/// <param name="seed2"></param>
7878
/// <param name="name"></param>
7979
/// <returns></returns>
80-
public static Tensor random_shuffle(Tensor value, int seed = 0, int seed2 = 0,
80+
public static Tensor random_shuffle(Tensor value, int? seed = 0, int? seed2 = 0,
8181
string name = null)
8282
=> tf.Context.ExecuteOp("RandomShuffle", name, new ExecuteOpArgs(value)
83-
.SetAttributes(new { seed = seed, seed2 = seed2 }));
83+
.SetAttributes(new { seed = seed ?? 0, seed2 = seed2 ?? 0 }));
8484

8585
/// <summary>
8686
/// Outputs random values from a truncated normal distribution.

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