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submodule
ngraph
Commits
1d98a079
Unverified
Commit
1d98a079
authored
5 years ago
by
Scott Cyphers
Committed by
GitHub
5 years ago
Browse files
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Plain Diff
Merge pull request #3360 from NervanaSystems/cyphers/noexport
Transformers don't need to export symbols.
parents
8dd818e5
28e5c2f7
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22 changed files
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0 additions
and
38 deletions
+0
-38
batch_mat_mul_transpose.hpp
src/ngraph/runtime/cpu/op/batch_mat_mul_transpose.hpp
+0
-2
batch_norm_relu.hpp
src/ngraph/runtime/cpu/op/batch_norm_relu.hpp
+0
-2
bounded_relu.hpp
src/ngraph/runtime/cpu/op/bounded_relu.hpp
+0
-2
conv_add.hpp
src/ngraph/runtime/cpu/op/conv_add.hpp
+0
-2
conv_relu.hpp
src/ngraph/runtime/cpu/op/conv_relu.hpp
+0
-1
convert_layout.hpp
src/ngraph/runtime/cpu/op/convert_layout.hpp
+0
-1
deconv.hpp
src/ngraph/runtime/cpu/op/deconv.hpp
+0
-2
dropout.hpp
src/ngraph/runtime/cpu/op/dropout.hpp
+0
-2
group_conv_bias.hpp
src/ngraph/runtime/cpu/op/group_conv_bias.hpp
+0
-2
halide_op.hpp
src/ngraph/runtime/cpu/op/halide_op.hpp
+0
-2
leaky_relu.hpp
src/ngraph/runtime/cpu/op/leaky_relu.hpp
+0
-2
lstm.hpp
src/ngraph/runtime/cpu/op/lstm.hpp
+0
-2
matmul_bias.hpp
src/ngraph/runtime/cpu/op/matmul_bias.hpp
+0
-1
max_pool_with_indices.hpp
src/ngraph/runtime/cpu/op/max_pool_with_indices.hpp
+0
-2
quantized_matmul.hpp
src/ngraph/runtime/cpu/op/quantized_matmul.hpp
+0
-2
rnn.hpp
src/ngraph/runtime/cpu/op/rnn.hpp
+0
-1
sigmoid_mul.hpp
src/ngraph/runtime/cpu/op/sigmoid_mul.hpp
+0
-2
update_slice.hpp
src/ngraph/runtime/cpu/op/update_slice.hpp
+0
-2
plaidml_ops_convolution.hpp
src/ngraph/runtime/plaidml/plaidml_ops_convolution.hpp
+0
-3
plaidml_ops_implicit_broadcast.hpp
...ngraph/runtime/plaidml/plaidml_ops_implicit_broadcast.hpp
+0
-1
plaidml_ops_replicate.hpp
src/ngraph/runtime/plaidml/plaidml_ops_replicate.hpp
+0
-1
plaidml_ops_winograd.hpp
src/ngraph/runtime/plaidml/plaidml_ops_winograd.hpp
+0
-1
No files found.
src/ngraph/runtime/cpu/op/batch_mat_mul_transpose.hpp
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1d98a079
...
...
@@ -17,7 +17,6 @@
#pragma once
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -35,7 +34,6 @@ namespace ngraph
class
BatchMatMulTranspose
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
/// \brief Constructs a batch of matmul product operation.
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src/ngraph/runtime/cpu/op/batch_norm_relu.hpp
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1d98a079
...
...
@@ -30,7 +30,6 @@ namespace ngraph
class
BatchNormTrainingRelu
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
BatchNormTrainingRelu
(
double
eps
,
...
...
@@ -60,7 +59,6 @@ namespace ngraph
class
BatchNormInferenceRelu
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
BatchNormInferenceRelu
(
double
eps
,
...
...
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src/ngraph/runtime/cpu/op/bounded_relu.hpp
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1d98a079
...
...
@@ -19,7 +19,6 @@
#include "ngraph/node.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/op/util/unary_elementwise_arithmetic.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -30,7 +29,6 @@ namespace ngraph
class
BoundedRelu
:
public
ngraph
::
op
::
util
::
UnaryElementwiseArithmetic
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
/// \brief Constructs a BoundedRelu operation.
...
...
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src/ngraph/runtime/cpu/op/conv_add.hpp
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1d98a079
...
...
@@ -18,7 +18,6 @@
#include "ngraph/op/convolution.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -27,7 +26,6 @@ namespace ngraph
class
ConvolutionAdd
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
ConvolutionAdd
(
const
std
::
shared_ptr
<
op
::
Convolution
>&
conv
,
...
...
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src/ngraph/runtime/cpu/op/conv_relu.hpp
View file @
1d98a079
...
...
@@ -28,7 +28,6 @@ namespace ngraph
class
ConvolutionRelu
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
ConvolutionRelu
(
const
std
::
shared_ptr
<
op
::
Convolution
>&
conv
);
...
...
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src/ngraph/runtime/cpu/op/convert_layout.hpp
View file @
1d98a079
...
...
@@ -35,7 +35,6 @@ namespace ngraph
class
ConvertLayout
:
public
ngraph
::
op
::
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
ConvertLayout
(
...
...
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src/ngraph/runtime/cpu/op/deconv.hpp
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1d98a079
...
...
@@ -18,7 +18,6 @@
#include "ngraph/op/convolution.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -28,7 +27,6 @@ namespace ngraph
class
DeconvolutionBias
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
/// \brief Constructs a batched-convolution data batch-backprop operation.
...
...
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src/ngraph/runtime/cpu/op/dropout.hpp
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1d98a079
...
...
@@ -17,7 +17,6 @@
#pragma once
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
#include "ngraph/util.hpp"
namespace
ngraph
...
...
@@ -27,7 +26,6 @@ namespace ngraph
class
Dropout
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
Dropout
(
const
Output
<
Node
>&
input
,
...
...
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src/ngraph/runtime/cpu/op/group_conv_bias.hpp
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1d98a079
...
...
@@ -17,7 +17,6 @@
#pragma once
#include "ngraph/op/fused/group_conv.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -28,7 +27,6 @@ namespace ngraph
class
GroupConvolutionBias
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
GroupConvolutionBias
(
const
std
::
shared_ptr
<
op
::
GroupConvolution
>&
conv
,
...
...
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src/ngraph/runtime/cpu/op/halide_op.hpp
View file @
1d98a079
...
...
@@ -20,7 +20,6 @@
#include <vector>
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -33,7 +32,6 @@ namespace ngraph
class
HalideOp
:
public
ngraph
::
op
::
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
HalideOp
(
const
OutputVector
&
args
,
...
...
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src/ngraph/runtime/cpu/op/leaky_relu.hpp
View file @
1d98a079
...
...
@@ -19,7 +19,6 @@
#include "ngraph/node.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/op/util/unary_elementwise_arithmetic.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -31,7 +30,6 @@ namespace ngraph
class
CPULeakyRelu
:
public
ngraph
::
op
::
util
::
UnaryElementwiseArithmetic
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
/// \brief Constructs a CPULeakyRelu operation.
...
...
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src/ngraph/runtime/cpu/op/lstm.hpp
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1d98a079
...
...
@@ -17,7 +17,6 @@
#pragma once
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
#include "ngraph/runtime/cpu/op/rnn_utils.hpp"
#include "ngraph/util.hpp"
...
...
@@ -28,7 +27,6 @@ namespace ngraph
class
Lstm
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
// INPUTS:
...
...
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src/ngraph/runtime/cpu/op/matmul_bias.hpp
View file @
1d98a079
...
...
@@ -27,7 +27,6 @@ namespace ngraph
class
MatmulBias
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
MatmulBias
(
const
Output
<
Node
>&
W
,
...
...
This diff is collapsed.
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src/ngraph/runtime/cpu/op/max_pool_with_indices.hpp
View file @
1d98a079
...
...
@@ -32,7 +32,6 @@ namespace ngraph
class
MaxPoolWithIndices
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
MaxPoolWithIndices
(
const
Output
<
Node
>&
arg
,
...
...
@@ -68,7 +67,6 @@ namespace ngraph
class
MaxPoolWithIndicesBackprop
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
MaxPoolWithIndicesBackprop
(
const
Output
<
Node
>&
arg_forward
,
...
...
This diff is collapsed.
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src/ngraph/runtime/cpu/op/quantized_matmul.hpp
View file @
1d98a079
...
...
@@ -19,7 +19,6 @@
#include <utility>
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
namespace
ngraph
{
...
...
@@ -28,7 +27,6 @@ namespace ngraph
class
QuantizedMatmul
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
QuantizedMatmul
(
const
Output
<
Node
>&
data
,
...
...
This diff is collapsed.
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src/ngraph/runtime/cpu/op/rnn.hpp
View file @
1d98a079
...
...
@@ -48,7 +48,6 @@ namespace ngraph
class
Rnn
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
CPU_BACKEND_API
Rnn
(
const
Output
<
Node
>&
src_layer
,
...
...
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src/ngraph/runtime/cpu/op/sigmoid_mul.hpp
View file @
1d98a079
...
...
@@ -30,7 +30,6 @@ namespace ngraph
class
SigmoidMultiply
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
/// Defines valid function types
...
...
@@ -69,7 +68,6 @@ namespace ngraph
class
SigmoidMultiplyBackprop
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
typedef
SigmoidMultiply
::
FunctionType
FunctionType
;
...
...
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src/ngraph/runtime/cpu/op/update_slice.hpp
View file @
1d98a079
...
...
@@ -18,7 +18,6 @@
#include "ngraph/coordinate.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/runtime/cpu/cpu_backend_visibility.h"
#include "ngraph/strides.hpp"
namespace
ngraph
...
...
@@ -51,7 +50,6 @@ namespace ngraph
class
UpdateSlice
:
public
Op
{
public
:
CPU_BACKEND_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
/// \brief Constructs a tensor slice update operation.
...
...
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src/ngraph/runtime/plaidml/plaidml_ops_convolution.hpp
View file @
1d98a079
...
...
@@ -39,7 +39,6 @@ namespace ngraph
class
ngraph
::
runtime
::
plaidml
::
op
::
Convolution
final
:
public
ngraph
::
op
::
Op
{
public
:
NGRAPH_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
Convolution
(
std
::
shared_ptr
<
ngraph
::
op
::
Convolution
>
src
,
...
...
@@ -66,7 +65,6 @@ private:
class
ngraph
::
runtime
::
plaidml
::
op
::
ConvolutionBackpropData
final
:
public
ngraph
::
op
::
Op
{
public
:
NGRAPH_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
ConvolutionBackpropData
(
std
::
shared_ptr
<
ngraph
::
op
::
ConvolutionBackpropData
>
src
,
...
...
@@ -93,7 +91,6 @@ private:
class
ngraph
::
runtime
::
plaidml
::
op
::
ConvolutionBackpropFilters
final
:
public
ngraph
::
op
::
Op
{
public
:
NGRAPH_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
ConvolutionBackpropFilters
(
std
::
shared_ptr
<
ngraph
::
op
::
ConvolutionBackpropFilters
>
src
,
...
...
This diff is collapsed.
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src/ngraph/runtime/plaidml/plaidml_ops_implicit_broadcast.hpp
View file @
1d98a079
...
...
@@ -40,7 +40,6 @@ namespace ngraph
class
ngraph
::
runtime
::
plaidml
::
op
::
ImplicitBroadcast
final
:
public
ngraph
::
op
::
Op
{
public
:
NGRAPH_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
ImplicitBroadcast
(
const
Output
<
Node
>&
input
,
const
Shape
&
shape
);
...
...
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src/ngraph/runtime/plaidml/plaidml_ops_replicate.hpp
View file @
1d98a079
...
...
@@ -39,7 +39,6 @@ namespace ngraph
class
ngraph
::
runtime
::
plaidml
::
op
::
Replicate
final
:
public
ngraph
::
op
::
Op
{
public
:
NGRAPH_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
Replicate
(
const
Output
<
Node
>&
arg
,
std
::
size_t
replication_axis
,
std
::
size_t
replication_count
);
...
...
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src/ngraph/runtime/plaidml/plaidml_ops_winograd.hpp
View file @
1d98a079
...
...
@@ -38,7 +38,6 @@ namespace ngraph
class
ngraph
::
runtime
::
plaidml
::
op
::
Winograd
final
:
public
ngraph
::
op
::
Op
{
public
:
NGRAPH_API
static
const
std
::
string
type_name
;
const
std
::
string
&
description
()
const
override
{
return
type_name
;
}
Winograd
(
std
::
shared_ptr
<
Convolution
>
conv
,
const
OutputVector
&
args
);
...
...
This diff is collapsed.
Click to expand it.
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