/[escript]/trunk/escript/src/DataLazy.h
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branches/schroedinger/escript/src/DataLazy.h revision 1903 by jfenwick, Wed Oct 22 06:11:01 2008 UTC trunk/escript/src/DataLazy.h revision 2066 by jfenwick, Thu Nov 20 05:31:33 2008 UTC
# Line 25  Line 25 
25    
26  namespace escript {  namespace escript {
27    
28    // For the purposes of unit testing and maintaining sanity, it is important that this enum be contiguous
29  enum ES_optype  enum ES_optype
30  {  {
31      UNKNOWNOP=0,      UNKNOWNOP=0,
# Line 33  enum ES_optype Line 34  enum ES_optype
34      SUB=3,      SUB=3,
35      MUL=4,      MUL=4,
36      DIV=5,      DIV=5,
37      SIN=6,      POW=6,
38      COS=7,      SIN=POW+1,
39      TAN=8,      COS=SIN+1,
40      ASIN=9,      TAN=SIN+2,
41      ACOS=10,      ASIN=SIN+3,
42      ATAN=11,      ACOS=SIN+4,
43      SINH=12,      ATAN=SIN+5,
44      COSH=13,      SINH=SIN+6,
45      TANH=14,      COSH=SIN+7,
46      ERF=15,      TANH=SIN+8,
47      ASINH=16,      ERF=SIN+9,
48      ACOSH=17,      ASINH=SIN+10,
49      ATANH=18,      ACOSH=SIN+11,
50      LOG10=19,      ATANH=SIN+12,
51      LOG=20,      LOG10=ATANH+1,
52      SIGN=21,      LOG=LOG10+1,
53      ABS=22,      SIGN=LOG10+2,
54      NEG=23,      ABS=LOG10+3,
55      POS=24,      NEG=LOG10+4,
56      EXP=25,      POS=LOG10+5,
57      SQRT=26,      EXP=LOG10+6,
58      RECIP=27,      SQRT=LOG10+7,
59      GZ=28,      RECIP=LOG10+8,
60      LZ=29,      GZ=RECIP+1,
61      GEZ=30,      LZ=GZ+1,
62      LEZ=31      GEZ=GZ+2,
63        LEZ=GZ+3,
64        SYM=LEZ+1,
65        NSYM=SYM+1,
66        PROD=NSYM+1
67  };  };
68    
69    ESCRIPT_DLL_API
70  const std::string&  const std::string&
71  opToString(ES_optype op);  opToString(ES_optype op);
72    
# Line 115  public: Line 121  public:
121    ESCRIPT_DLL_API    ESCRIPT_DLL_API
122    DataLazy(DataAbstract_ptr left, DataAbstract_ptr right, ES_optype op);    DataLazy(DataAbstract_ptr left, DataAbstract_ptr right, ES_optype op);
123    
124      /**
125      \brief Produce a DataLazy for a binary operation with additional paramters.
126      \param left left operand
127      \param right right operand
128      \param op unary operation to perform.
129      \param axis_offset
130      \param transpose  
131      \throws DataException if op is not a binary operation requiring parameters or if left or right cannot be converted to a DataLazy.
132      */
133      ESCRIPT_DLL_API
134      DataLazy(DataAbstract_ptr left, DataAbstract_ptr right, ES_optype op, int axis_offset, int transpose);
135    
136    ESCRIPT_DLL_API    ESCRIPT_DLL_API
137    ~DataLazy();    ~DataLazy();
138    
# Line 137  public: Line 155  public:
155    
156    /**    /**
157       \brief       \brief
158       Return the number of doubles that would be stored for this Data object if it were resolved.       This method throws an exception. It does not really make sense to ask this question of lazy data.
159    */    */
160    ESCRIPT_DLL_API    ESCRIPT_DLL_API
161    ValueType::size_type    ValueType::size_type
# Line 153  public: Line 171  public:
171    getPointOffset(int sampleNo,    getPointOffset(int sampleNo,
172                   int dataPointNo) const;                   int dataPointNo) const;
173    
174      DataTypes::ValueType::size_type
175      getPointOffset(int sampleNo,
176                     int dataPointNo);
177    
178    
179    /**    /**
180      \return the number of samples which need to be stored to evaluate the expression.      \return the number of samples which need to be stored to evaluate the expression.
# Line 162  public: Line 184  public:
184    getBuffsRequired() const;    getBuffsRequired() const;
185    
186    /**    /**
187        \return the largest samplesize required to evaluate the expression.
188      */
189      ESCRIPT_DLL_API
190      size_t
191      getMaxSampleSize() const;
192    
193    
194      /**
195       \brief Produces an IDENTITY DataLazy containing zero.       \brief Produces an IDENTITY DataLazy containing zero.
196       The result will have the same shape and functionspace as before.       The result will have the same shape and functionspace as before.
197    */    */
# Line 173  private: Line 203  private:
203    DataReady_ptr m_id;   //  For IDENTITY nodes, stores a wrapped value.    DataReady_ptr m_id;   //  For IDENTITY nodes, stores a wrapped value.
204    DataLazy_ptr m_left, m_right; // operands for operation.    DataLazy_ptr m_left, m_right; // operands for operation.
205    ES_optype m_op;   // operation to perform.    ES_optype m_op;   // operation to perform.
   size_t m_length;  // number of values represented by the operation  
206    
207    int m_buffsRequired;  // how many samples are required to evaluate this expression    int m_buffsRequired;  // how many samples are required to evaluate this expression
208    size_t m_samplesize;  // number of values required to store a sample    size_t m_samplesize;  // number of values required to store a sample
209    
210    char m_readytype; // E for expanded, T for tagged, C for constant    char m_readytype; // E for expanded, T for tagged, C for constant
211    
212      int m_axis_offset;    // required extra info for general tensor product
213      int m_transpose;
214      int m_SL, m_SM, m_SR; // computed properties used in general tensor product
215    
216      unsigned int m_maxsamplesize; // largest samplesize required by any node in the expression
217    
218    
219    /**    /**
220    Does the work for toString.    Does the work for toString.
# Line 219  private: Line 254  private:
254    resolveSample(ValueType& v,  size_t offset ,int sampleNo, size_t& roffset);    resolveSample(ValueType& v,  size_t offset ,int sampleNo, size_t& roffset);
255    
256    /**    /**
257    \brief Compute the value of the expression (binary operation) for the given sample.    \brief Compute the value of the expression (unary operation) for the given sample.
258    \return Vector which stores the value of the subexpression for the given sample.    \return Vector which stores the value of the subexpression for the given sample.
259    \param v A vector to store intermediate results.    \param v A vector to store intermediate results.
260    \param offset Index in v to begin storing results.    \param offset Index in v to begin storing results.
# Line 234  private: Line 269  private:
269    resolveUnary(ValueType& v,  size_t offset,int sampleNo,  size_t& roffset) const;    resolveUnary(ValueType& v,  size_t offset,int sampleNo,  size_t& roffset) const;
270    
271    /**    /**
272      \brief Compute the value of the expression (unary non-pointwise operation) for the given sample.
273      \return Vector which stores the value of the subexpression for the given sample.
274      \param v A vector to store intermediate results.
275      \param offset Index in v to begin storing results.
276      \param sampleNo Sample number to evaluate.
277      \param roffset (output parameter) the offset in the return vector where the result begins.
278    
279      The return value will be an existing vector so do not deallocate it.
280      If the result is stored in v it should be stored at the offset given.
281      Everything from offset to the end of v should be considered available for this method to use.
282    
283      This method differs from the one above in that deals with operations that are not
284      point-wise. That is, the answer cannot just be written on top of the input.
285      Extra buffers are required for these operations.
286      */
287    
288      ValueType*
289      resolveNP1OUT(ValueType& v, size_t offset, int sampleNo, size_t& roffset) const;
290    
291    
292      /**
293    \brief Compute the value of the expression (binary operation) for the given sample.    \brief Compute the value of the expression (binary operation) for the given sample.
294    \return Vector which stores the value of the subexpression for the given sample.    \return Vector which stores the value of the subexpression for the given sample.
295    \param v A vector to store intermediate results.    \param v A vector to store intermediate results.
# Line 248  private: Line 304  private:
304    ValueType*    ValueType*
305    resolveBinary(ValueType& v,  size_t offset,int sampleNo,  size_t& roffset) const;    resolveBinary(ValueType& v,  size_t offset,int sampleNo,  size_t& roffset) const;
306    
307      /**
308      \brief Compute the value of the expression (tensor product) for the given sample.
309      \return Vector which stores the value of the subexpression for the given sample.
310      \param v A vector to store intermediate results.
311      \param offset Index in v to begin storing results.
312      \param sampleNo Sample number to evaluate.
313      \param roffset (output parameter) the offset in the return vector where the result begins.
314    
315      The return value will be an existing vector so do not deallocate it.
316      If the result is stored in v it should be stored at the offset given.
317      Everything from offset to the end of v should be considered available for this method to use.
318      */
319      DataTypes::ValueType*
320      resolveTProd(ValueType& v,  size_t offset, int sampleNo, size_t& roffset) const;
321    
322  };  };
323    
324  }  }

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