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defs:Dataset
(Results
1 - 25
of
74
) sorted by null
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/external/tensorflow/tensorflow/contrib/slim/python/slim/data/
dataset.py
15
"""Contains the definition of a
Dataset
.
17
A
Dataset
is a collection of several components: (1) a list of data sources
23
Data can be loaded from a
dataset
specification using a dataset_data_provider:
25
dataset
= CreateMyDataset(...)
27
dataset
, shuffle=False)
38
class
Dataset
(object):
39
"""Represents a
Dataset
specification."""
43
"""Initializes the
dataset
.
46
data_sources: A list of files that make up the
dataset
.
50
num_samples: The number of samples in the
dataset
[
all
...]
/external/icu/icu4j/perf-tests/
Dataset.pm
9
package
Dataset
;
14
# Create a new
Dataset
with the given data.
63
# Return a 99% error based on the t distribution. The
dataset
71
# mean+/-error. The new
Dataset
has no data points.
81
my $result =
Dataset
->new();
/external/tensorflow/tensorflow/core/kernels/data/experimental/
ignore_errors_dataset_op.cc
15
#include "tensorflow/core/framework/
dataset
.h"
33
*output = new
Dataset
(ctx, input);
37
class
Dataset
: public DatasetBase {
39
explicit
Dataset
(OpKernelContext* ctx, const DatasetBase* input)
44
~
Dataset
() override { input_->Unref(); }
60
return "IgnoreErrorsDatasetOp::
Dataset
";
76
class Iterator : public DatasetIterator<
Dataset
> {
79
: DatasetIterator<
Dataset
>(params) {}
82
return
dataset
()->input_->MakeIterator(ctx, prefix(), &input_impl_);
non_serializable_dataset_op.cc
17
#include "tensorflow/core/framework/
dataset
.h"
36
*output = new
Dataset
(ctx, input, output_types_, output_shapes_);
40
class
Dataset
: public DatasetBase {
42
Dataset
(OpKernelContext* ctx, const DatasetBase* input,
52
~
Dataset
() override { input_->Unref(); }
68
return "NonSerializableDatasetOp::
Dataset
";
81
class Iterator : public DatasetIterator<
Dataset
> {
84
: DatasetIterator<
Dataset
>(params) {}
87
return
dataset
()->input_->MakeIterator(ctx, prefix(), &input_impl_);
assert_next_dataset_op.cc
17
#include "tensorflow/core/framework/
dataset
.h"
42
new
Dataset
(ctx, input, transformations, output_types_, output_shapes_);
46
class
Dataset
: public DatasetBase {
48
Dataset
(OpKernelContext* ctx, const DatasetBase* input,
60
~
Dataset
() override { input_->Unref(); }
76
return "AssertNextDatasetOp::
Dataset
";
95
class Iterator : public DatasetIterator<
Dataset
> {
98
: DatasetIterator<
Dataset
>(params) {}
103
if (
dataset
()->transformations_.size() > tokens.size() - 2) {
105
"Asserted next ",
dataset
()->transformations_.size()
[
all
...]
random_dataset_op.cc
15
#include "tensorflow/core/framework/
dataset
.h"
48
*output = new
Dataset
(ctx, seed, seed2);
52
class
Dataset
: public DatasetBase {
54
Dataset
(OpKernelContext* ctx, int64 seed, int64 seed2)
76
")::
Dataset
");
94
class Iterator : public DatasetIterator<
Dataset
> {
97
: DatasetIterator<
Dataset
>(params),
98
parent_generator_(
dataset
()->seed_,
dataset
()->seed2_),
131
random::PhiloxRandom(
dataset
()->seed_, dataset()->seed2_)
[
all
...]
rebatch_dataset_op.cc
15
#include "tensorflow/core/framework/
dataset
.h"
42
Dataset
*
dataset
=
variable
43
new
Dataset
(ctx, input, num_workers, output_types_, output_shapes_);
44
Status s =
dataset
->Optimize(ctx);
46
*output =
dataset
;
48
dataset
->Unref();
54
class
Dataset
: public GraphRewriteDataset {
56
Dataset
(OpKernelContext* ctx, const DatasetBase* input,
62
string DebugString() const override { return "RebatchDatasetOp::
Dataset
"; }
[
all
...]
sleep_dataset_op.cc
15
#include "tensorflow/core/framework/
dataset
.h"
39
*output = new
Dataset
(ctx, input, sleep_microseconds);
43
class
Dataset
: public DatasetBase {
45
Dataset
(OpKernelContext* ctx, const DatasetBase* input,
53
~
Dataset
() override { input_->Unref(); }
68
string DebugString() const override { return "SleepDatasetOp::
Dataset
"; }
92
class Iterator : public DatasetIterator<
Dataset
> {
95
: DatasetIterator<
Dataset
>(params) {}
98
return
dataset
()->input_->MakeIterator(ctx, prefix(), &input_impl_);
105
ctx->env()->SleepForMicroseconds(
dataset
()->sleep_microseconds_)
[
all
...]