moved NOT_IMPLEMENTED macro to Basics.h, close to LogicError()
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6b535cd1e8
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450be1a664
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@ -83,6 +83,15 @@ namespace Microsoft { namespace MSR { namespace CNTK {
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};
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#pragma warning(pop)
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static inline void Warning(const string & message) { Warning("%s", message.c_str()); }
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#ifndef NOT_IMPLEMENTED
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#define NOT_IMPLEMENTED \
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{ \
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fprintf(stderr, "Inside File: %s Line: %d Function: %s -> Feature Not Implemented.\n", __FILE__, __LINE__, __FUNCTION__); \
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LogicError("Inside File: %s Line: %d Function: %s -> Feature Not Implemented.\n", __FILE__, __LINE__, __FUNCTION__); \
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}
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#endif
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}}}
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#ifndef _MSC_VER
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@ -13,9 +13,9 @@
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namespace Microsoft { namespace MSR { namespace CNTK {
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// -----------------------------------------------------------------------
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// TensorShape -- tensor descriptor to describe the inner layout of a data vector that holds a tensor
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// TensorShape -- tensor descriptor to describe the inner layout of a sample vector that holds a tensor
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//
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// Minibatches are stored as Matrices. While the column dimension represents multiple data vectors, and may have
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// Minibatches are stored as Matrix objects. While the column dimension represents multiple sample vectors, and may have
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// an inner structure (time, parallel sequences) described by the MBLayout, the row dimension represents data
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// vectors that hold tensors of data.
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//
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@ -23,14 +23,9 @@ namespace Microsoft { namespace MSR { namespace CNTK {
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//
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// Specifically, when the image is an image, then this is a 3-dimensional tensor with dimensions ( channels, width, height ),
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// which represents the column-major interpretation of a transposed row-by-row-scanned image where each pixel stores (R,G,B) as a float3.
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//
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// BUGBUG: Tensors with other than 3 dimensions can currently not be used because they cannot be serialized with the current file format.
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// -----------------------------------------------------------------------
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// TODO: really support lengths other than 3, e.g. fix serialization code to handle variable-length descriptors
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// TODO: rename to DataLayout
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// TODO: must match ComputationNode::m_numRows; or, rather, the TensorShape is how m_numRows is stored??
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// TODO: move this elsewhere, maybe a separate header Tensors.h?
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struct TensorShape
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{
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public:
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@ -28,14 +28,6 @@
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//#define RNN_DEBUG 1
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#define DEFAULT_HIDDEN_ACTIVATION 0.1
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#ifndef NOT_IMPLEMENTED
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#define NOT_IMPLEMENTED \
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{ \
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fprintf(stderr, "Inside File: %s Line: %d Function: %s -> Feature Not Implemented.\n", __FILE__, __LINE__, __FUNCTION__); \
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LogicError("Not Implemented"); \
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}
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#endif
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#pragma warning (disable: 4267)
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// version number to control how to read and write
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@ -5,6 +5,7 @@
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//
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#pragma once
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#include "Basics.h"
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#include <string>
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#include <stdint.h>
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@ -48,12 +49,6 @@ static inline DEVICEID_TYPE EnforceOneGPUOnly(DEVICEID_TYPE requestedDeviceId)
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#define MINLOGEXP -9.2103
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#define LSMALL -0.5E10
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#define NOT_IMPLEMENTED \
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{ \
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fprintf(stderr, "Inside File: %s Line: %d Function: %s -> Feature Not Implemented.\n", __FILE__, __LINE__, __FUNCTION__); \
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LogicError("Not Implemented"); \
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}
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#define GPUSPARSE_INDEX_TYPE int //cuSparse only supports int array indexes
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#define CPUSPARSE_INDEX_TYPE int //to be consistent with cuSparse but limited the possible size of the matrix.
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