ElementWise
#include <popops/ElementWise.hpp>
These functions perform the same operation on each element of one or more tensors.
Every function has four ways of providing the output:
Returning a new output tensor.
Writing the output to the first input tensor argument. These functions are suffixed with
InPlace
and are useful when you don’t need the input tensor after the operation as they don’t create a new live variable for the output.Writing the output to an “out” tensor passed as an argument. These functions are suffixed with
WithOutput
and are useful for providing your own tile mapping for the output tensor.Performing multiple expressions in one map call.
The functions that perform operations on two tensors support NumPy-style broadcasting of operands, where tensors of different shapes will be broadcast into compatible shapes for the operation. These functions also have overloads where one of the tensors is a constant scalar, which by taking advantage of the broadcasting, performs the same operation on each element in the remaining tensor using the scalar as the other side of the operation for all elements.
See also
Refer to the tutorial Using PopLibs for a full example of how element-wise operations are used.
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namespace poputil
General utility functions for building graphs.
Functions
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template<>
poplar::ProfileValue toProfileValue(const popops::expr::UnaryOpType &op)
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template<>
poplar::ProfileValue toProfileValue(const popops::expr::BinaryOpType &op)
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template<>
poplar::ProfileValue toProfileValue(const popops::expr::TernaryOpType &op)
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template<>
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namespace popops
Common functions, such as elementwise and reductions.
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poplar::Tensor map(poplar::Graph &graph, const expr::Expr &expr, const std::vector<poplar::Tensor> &ts, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Map an expression across tensors.
Elementwise Options
enableGenerateCodelet
(true, false) [=true]When true and the following conditions are met, poplar will generate a codelet to execute the map operation. Otherwise, it will sequence poplibs codelets to create the expression.
All of the inputs are of the same size
Inputs do not alias
Multiple operations are being performed
- Parameters
graph – The graph to update.
expr – The expression(s) to map across the tensors. The placeholders in the expressions will be substituted with corresponding elements from the tensors in
ts
.ts – The list of tensors to map the expression across. If elements from these tensors are used in binary/ternary operations in the expression the numpy-style broadcast rules are used to match the shapes of the tensors (see poputil::broadcastToMatch()).
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – A list of flags to pass to the expression evaluator.
- Returns
A tensor containing the elements resulting from the application of the expression across the tensors.
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inline poplar::Tensor map(poplar::Graph &graph, expr::UnaryOpType op, const poplar::Tensor &t, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
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inline poplar::Tensor map(poplar::Graph &graph, expr::BinaryOpType op, const poplar::Tensor &a, const poplar::Tensor &b, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
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void mapInPlace(poplar::Graph &graph, const expr::Expr &expr, const std::vector<poplar::Tensor> &ts, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensors with the result of map().
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inline void mapInPlace(poplar::Graph &graph, expr::UnaryOpType op, const poplar::Tensor &t, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
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inline void mapInPlace(poplar::Graph &graph, expr::BinaryOpType op, const poplar::Tensor &a, const poplar::Tensor &b, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
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void mapWithOutput(poplar::Graph &graph, const expr::Expr &expr, const std::vector<poplar::Tensor> &ts, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of map() to the given output tensor.
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inline void mapWithOutput(poplar::Graph &graph, expr::UnaryOpType op, const poplar::Tensor &in, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
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inline void mapWithOutput(poplar::Graph &graph, expr::BinaryOpType op, const poplar::Tensor &a, const poplar::Tensor &b, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
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template<typename constType>
inline void checkTypes(poplar::Type elementType, constType) Check that the host compile-time type
constType
is compatible with the run-time IPU typeelementType
.- Parameters
elementType – The run-time IPU type.
constant – Unused.
- Template Parameters
constType – The host compile-time type.
- Throws
std::runtime_error – If the types are not compatible.
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poplar::Tensor varianceToInvStdDev(poplar::Graph &graph, const poplar::Tensor &src, const poplar::Tensor &epsilon, poplar::program::Sequence &prog, const poplar::Type dstType = poplar::HALF, const poplar::DebugContext &debugContext = {})
Convert variance to inverse standard deviation.
- Parameters
graph – The graph to update.
src – The source tensor.
epsilon – A tensor initialised with the epsilon parameter used in conversion. Must have a single element and have the same type as the input type. Alternatively a float value can be used and the appropriate tensor will be created.
prog – The sequence to extend with the execution of conversion.
dstType – The type of the tensor to be output. Must be
HALF
or equal to the input type.debugContext – Optional debug information
- Returns
A tensor where each element is the inverse of standard deviation. Each element is the result of
b = sqrt(1 / a)
, wherea
andb
are the corresponding elements ofsrc
and the result tensor respectively.
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poplar::Tensor invStdDevToVariance(poplar::Graph &graph, const poplar::Tensor &src, const poplar::Tensor &epsilon, poplar::program::Sequence &prog, const poplar::Type dstType = poplar::FLOAT, const poplar::DebugContext &debugContext = {})
Convert inverse standard deviation to variance.
- Parameters
graph – The graph to update.
src – The source tensor.
epsilon – A tensor initialised with the epsilon parameter used in conversion. Must have a single element and have the same type as the input type. Alternatively, a float value can be used and the appropriate tensor will be created.
prog – The sequence to extend with the execution of conversion.
dstType – The type of the tensor to be output. Must be
FLOAT
or equal to the input type.debugContext – Optional debug information
- Returns
A tensor where each element is the variance. Each element is the result of
b = (1 / a) ^ 2
, wherea
andb
are the corresponding elements ofsrc
and the result tensor respectively.
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inline poplar::Tensor add(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Add each element in
A
to the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a + b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void addInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of add().See add() for parameter descriptions.
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inline void addWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of add() to the given output tensor,
out
.See add() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor sub(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Subtract the elements of
B
fromA
and return the result in a new tensor.- Parameters
graph – The graph to update.
A – The tensor of elements which will be subtracted from.
B – The tensor of elements to subtract from
A
.prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is equal to a - b, where
a
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void subInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of sub().See sub() for parameter descriptions.
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inline void subWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of sub() to the given output tensor,
out
.See sub() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor mul(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Multiply each element in
A
by the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a * b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void mulInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of mul().See mul() for parameter descriptions.
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inline void mulWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of mul() to the given output tensor,
out
.See mul() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor div(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Divide each element in
A
by the corresponding element inB
.- Parameters
graph – The graph to update.
A – The tensor of dividends.
B – The tensor of divisors.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a / b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void divInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of div().See div() for parameter descriptions.
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inline void divWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of div() to the given output tensor,
out
.See div() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor pow(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute each element in
A
to the power of the corresponding element inB
.- Parameters
graph – The graph to update.
A – The tensor of bases.
B – The tensor of exponents.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is equal to
pow(a, b)
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void powInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of pow().See pow() for parameter descriptions.
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inline void powWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of pow() to the given output tensor,
out
.See pow() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor rem(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the remainder of each element in
A
divided by the corresponding element inB
.- Parameters
graph – The graph to update.
A – The tensor of dividends.
B – The tensor of divisors.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is equal to a % b, where
a
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void remInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of rem().See rem() for parameter descriptions.
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inline void remWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of rem() to the given output tensor,
out
.See rem() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor bitwiseAnd(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the bitwise AND of each element in
A
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a & b
, wherea
andbare
the corresponding elements ofA
andB
tensors respectively.
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inline void bitwiseAndInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of bitwiseAnd().See bitwiseAnd() for parameter descriptions.
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inline void bitwiseAndWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of bitwiseAnd() to the given output tensor,
out
.See bitwiseAnd() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor bitwiseOr(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the bitwise OR of each element in
A
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a | b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void bitwiseOrInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of bitwiseOr().See bitwiseOr() for parameter descriptions.
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inline void bitwiseOrWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of bitwiseOr() to the given output tensor,
out
.See bitwiseOr() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor bitwiseXor(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the bitwise XOR of each element in
A
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a ^ b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void bitwiseXorInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of bitwiseXor().See bitwiseXnor() for parameter descriptions.
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inline void bitwiseXorWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of bitwiseXor() to the given output tensor,
out
.See bitwiseXor() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor bitwiseXnor(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the bitwise XNOR of each element in
A
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
!(a ^ b)
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void bitwiseXnorInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of bitwiseXnor().See bitwiseXnor() for parameter descriptions.
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inline void bitwiseXnorWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of bitwiseXnor() to the given output tensor,
out
.See bitwiseXnor() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor shiftLeft(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Shift the elements of
A
left by the corresponding elements ofB
.- Parameters
graph – The graph to update.
A – The tensor of elements which to left-shift.
B – The tensor of elements that describe the amount to left-shift
A
by.prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is equal to a << b, where
a
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void shiftLeftInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of shiftLeft().See shiftLeft() for parameter descriptions.
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inline void shiftLeftWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of shiftLeft() to the given output tensor,
out
.See shiftLeft() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor shiftRight(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Shift the elements of
A
right by the corresponding elements ofB
.- Parameters
graph – The graph to update.
A – The tensor of elements which to right-shift.
B – The tensor of elements that describe the amount to right-shift by.
A
.prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is equal to a >> b (without sign extension), where
a
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void shiftRightInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of shiftRight().See shiftRight() for parameter descriptions.
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inline void shiftRightWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of shiftRight() to the given output tensor,
out
.See shiftRight() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor shiftRightSignExtend(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Shift the elements of
A
right with sign extension by the corresponding elements ofB
.- Parameters
graph – The graph to update.
A – The tensor of elements which to right-shift.
B – The tensor of elements that describe the amount to right-shift
A
by.prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is equal to
a >> b
with sign extension, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void shiftRightSignExtendInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of shiftRightSignExtend().See shiftRightSignExtend() for parameter descriptions.
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inline void shiftRightSignExtendWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of shiftRightSignExtend() to the given output tensor,
out
.See shiftRightSignExtend() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the results to.
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inline poplar::Tensor logicalAnd(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the logical AND (
&&
) of each element inA
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a && b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void logicalAndInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of logicalAnd().See logicalAnd() for parameter descriptions.
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inline void logicalAndWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of logicalAnd() to the given output tensor,
out
.See logicalAnd() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor logicalOr(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the logical OR (
||
) of each element inA
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a || b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void logicalOrInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of logicalOr().See logicalOr() for parameter descriptions.
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inline void logicalOrWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of logicalOr() to the given output tensor,
out
.See logicalOr() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor eq(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is equal to the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a == b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void eqWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of eq() to the given output tensor,
out
.See eq() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor neq(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is not equal to the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a != b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void neqInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of neq().See neq() for parameter descriptions.
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inline void neqWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of neq() to the given output tensor,
out
.See neq() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor gteq(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is greater than or equal to the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a >= b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void gteqInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of gteq().See gteq() for parameter descriptions.
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inline void gteqWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of gteq() to the given output tensor,
out
.See gteq() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor gt(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is greater than the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a > b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void gtWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of gt() to the given output tensor,
out
.See gt() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor lteq(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is less than or equal to the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a <= b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void lteqWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of lteq() to the given output tensor,
out
.See lteq() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the booleans to.
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inline poplar::Tensor lt(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is less than the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
a < b
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void ltWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of lt() to the given output tensor,
out
.See lt() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the boolean results to.
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inline poplar::Tensor max(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the maximum of each element in
A
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
max(a, b)
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void maxInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of max().See max() for parameter descriptions.
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inline void maxWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of max() to the given output tensor,
out
.See max() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the maximums to.
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inline poplar::Tensor min(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the minimum of each element in
A
with the corresponding element inB
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
min(a, b)
, wherea
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void minInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of min().See min() for parameter descriptions.
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inline void minWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of min() to the given output tensor,
out
.See min() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the minimums to.
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inline poplar::Tensor atan2(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the element-wise arctangent of
A / B
.- Parameters
graph – The graph to update.
A – A tensor of elements.
B – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is the result of
arctan(a / b)
;a
andb
are the corresponding elements ofA
andB
tensors respectively.
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inline void atan2InPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the tensor
A
with the result of atan2().See atan2() for parameter descriptions.
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inline void atan2WithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of atan2() to the given output tensor,
out
.See atan2() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the result to.
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inline poplar::Tensor invStdDevToVariance(poplar::Graph &graph, const poplar::Tensor &invStdDev, const poplar::Tensor &epsilon, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Convert inverse standard deviation to variance.
Each element in the output tensor is the result of
1 / (invStdDev_value + epsilon)^2
, whereinvStdDev_value
is the corresponding element ininvStdDev
.Warning
If
invStdDev_value + epsilon
is zero then the result will be invalid and this operation could generate a divide-by-zero floating-point exception (if enabled).- Parameters
graph – The graph to update.
invStdDev – A tensor of inverse standard deviation values.
epsilon – A (typically small) scalar to add to the variance values, to avoid numerical issues (for example, divide by zero).
prog – The sequence of programs to append this conversion operation to.
debugContext – Optional debug information.
options – A list of flags to pass to the expression evaluator.
- Returns
A tensor where each element is the variance.
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inline void invStdDevToVarianceInPlace(poplar::Graph &graph, const poplar::Tensor &invStdDev, const poplar::Tensor &epsilon, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the
invStdDev
tensor with the result of invStdDevToVariance().See invStdDevToVariance() for parameter descriptions.
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inline void invStdDevToVarianceWithOutput(poplar::Graph &graph, const poplar::Tensor &invStdDev, const poplar::Tensor &epsilon, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of invStdDevToVariance() to the given output tensor,
out
.See invStdDevToVariance() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the variance to.
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inline poplar::Tensor varianceToInvStdDev(poplar::Graph &graph, const poplar::Tensor &variance, const poplar::Tensor &epsilon, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Convert variance to inverse standard deviation.
Each element in the output tensor is the result of
1 / sqrt(variance_value + epsilon)
, wherevariance_value
is the corresponding element invariance
.Warning
If
variance_value + epsilon
is zero then the result will be invalid and this operation could generate a divide-by-zero floating-point exception (if enabled).- Parameters
graph – The graph to update.
variance – A tensor of variance values.
epsilon – A (typically small) scalar to add to the variance values, to avoid numerical issues (for example, divide by zero).
prog – The sequence of programs to append this conversion operation to.
debugContext – Optional debug information.
- Returns
A tensor where each element is the inverse standard deviation.
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inline void varianceToInvStdDevInPlace(poplar::Graph &graph, const poplar::Tensor &variance, const poplar::Tensor &epsilon, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the
variance
tensor with the result of varianceToInvStdDev().See varianceToInvStdDev() for parameter descriptions.
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inline void varianceToInvStdDevWithOutput(poplar::Graph &graph, const poplar::Tensor &variance, const poplar::Tensor &epsilon, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of varianceToInvStdDev() to the given output tensor,
out
.See varianceToInvStdDev() for the remaining parameter descriptions.
- Parameters
out – The tensor to write inverse standard deviation to.
Functions
-
void outputGeneratedCodelet(const poplar::Target &target, const expr::Expr &expr, const std::vector<poplar::Tensor> &ts, const poplar::OptionFlags &options, std::ostream &os)
Writes the generated codelet for the given
expr
andts
toos
.- Parameters
target – The target the graph is being constructed to work with.
expr – The expression to map across the tensors. The placeholders in the expressions will be substituted with corresponding elements from the tensors in
ts
.ts – The list of tensors to map the expression across. If elements from these tensors are used in binary/ternary operations in the expression the numpy-style broadcast rules are used to match the shapes of the tensors (see poputil::broadcastToMatch()).
options – A list of flags to pass to the expression evaluator. See map() function for details.
os – The stream to output generated codelet.
-
inline poplar::Tensor abs(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the absolute value of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::abs(a)
, wherea
is an element ofA
.
-
inline void absInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of abs().
-
inline void absWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of abs() to the given output tensor.
-
inline poplar::Tensor inv(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the inverse of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
1 / a
, wherea
is an element ofA
.
-
inline void invInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of inv().
-
inline void invWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of inv() to the given output tensor.
-
inline poplar::Tensor logicalNot(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the logical NOT of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
!a
, wherea
is an element ofA
.
-
inline void logicalNotInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of logicalNot().
-
inline void logicalNotWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of logicalNot() to the given output tensor.
-
inline poplar::Tensor neg(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the negation of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
-1 * a
, wherea
is an element ofA
.
-
inline void negInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of neg().
-
inline void negWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of neg() to the given output tensor.
-
inline poplar::Tensor signum(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the signum of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is one of -1, 0 or +1 if the corresponding element in
A
was less than, equal to or greater than 0 respectively.
-
inline void signumInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of signum().
-
inline void signumWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of signum() to the given output tensor.
-
inline poplar::Tensor isFinite(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Check if each element in
A
is finite.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::isfinite(a)
, wherea
is an element ofA
.
-
inline void isFiniteWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of isFinite() to the given output tensor.
-
inline poplar::Tensor bitwiseNot(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the bitwise NOT operation for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
~a
, wherea
is an element ofA
.
-
inline void bitwiseNotInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of bitwiseNot().
-
inline void bitwiseNotWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of bitwiseNot() to the given output tensor.
-
inline poplar::Tensor countLeadingZeros(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the number of binary leading zeros of each element in
A
.Note
If the element is zero then it is treated as 32 leading zeros.
- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
a ? __builtin_clz(a) : 32
, wherea
is an element ofA
.
-
inline void countLeadingZerosInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of countLeadingZeros().
-
inline void countLeadingZerosWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of countLeadingZeros() to the given output tensor.
-
inline poplar::Tensor popcount(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the number of 1 bits in each element of
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::popcount(a)
, wherea
is an element ofA
.
-
inline void popcountInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of popcount().
-
inline void popcountWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of popcount() to the given output tensor.
-
inline poplar::Tensor ceil(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the ceiling of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::ceil(a)
, wherea
is an element ofA
.
-
inline void ceilInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of ceil().
-
inline void ceilWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of ceil() to the given output tensor.
-
inline poplar::Tensor floor(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the floor of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::floor(a)
, wherea
is an element ofA
.
-
inline void floorInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of floor().
-
inline void floorWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of floor() to the given output tensor.
-
inline poplar::Tensor round(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Round each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::round(a)
, wherea
is an element ofA
.
-
inline void roundInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of round().
-
inline void roundWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of round() to the given output tensor.
-
inline poplar::Tensor nearbyint(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Rounds each element in
A
to an integer value in floating-point format.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::nearbyint(a)
, wherea
is an element ofA
.
-
inline void nearbyintInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of nearbyint().
-
inline void nearbyintWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of nearbyint() to the given output tensor.
-
inline poplar::Tensor cbrt(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the cube-root for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::cbrt(a)
, wherea
is an element ofA
.
-
inline void cbrtInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of cbrt().
-
inline void cbrtWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of cbrt() to the given output tensor.
-
inline poplar::Tensor exp(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the exponential of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::exp(a)
, wherea
is an element ofA
.
-
inline void expInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of exp().
-
inline void expWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of exp() to the given output tensor.
-
inline poplar::Tensor exp2(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the power of 2 for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::exp2(a)
, wherea
is an element ofA
.
-
inline void exp2InPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of exp2().
-
inline void exp2WithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of exp2() to the given output tensor.
-
inline poplar::Tensor expm1(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the exponential of each element in
A
minus one.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::expm1(a)
, wherea
is an element ofA
.
-
inline void expm1InPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of expm1().
-
inline void expm1WithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of expm1() to the given output tensor.
-
inline poplar::Tensor log(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the log base-e of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::log(a)
, wherea
is an element ofA
.
-
inline void logInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of log().
-
inline void logWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of log() to the given output tensor.
-
inline poplar::Tensor log1p(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the log base-e of each element in
A
plus one.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::log1p(a)
, wherea
is an element ofA
.
-
inline void log1pInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of log1p().
-
inline void log1pWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of log1p() to the given output tensor.
-
inline poplar::Tensor sqrt(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the square-root for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::sqrt(a)
, wherea
is an element ofA
.
-
inline void sqrtInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of sqrt().
-
inline void sqrtWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of sqrt() to the given output tensor.
-
inline poplar::Tensor square(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the square for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
x * x
, wherea
is an element ofA
.
-
inline void squareInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of square().
-
inline void squareWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of square() to the given output tensor.
-
inline poplar::Tensor rsqrt(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the reciprocal square root for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
1 / sqrt(a)
, wherea
is an element ofA
.
-
inline void rsqrtInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of rsqrt().
-
inline void rsqrtWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of rsqrt() to the given output tensor.
-
inline poplar::Tensor sigmoid(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the sigmoid (logistic) function for each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
1 / (1 + exp(-x))
, wherea
is an element ofA
.
-
inline void sigmoidInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of sigmoid().
-
inline void sigmoidWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of sigmoid() to the given output tensor.
-
inline poplar::Tensor asin(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the arc-sine of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::asin(a)
, wherea
is an element ofA
.
-
inline void asinInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of asin().
-
inline void asinWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of asin() to the given output tensor.
-
inline poplar::Tensor cos(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the cosine of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::cos(a)
, wherea
is an element ofA
.
-
inline void cosInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of cos().
-
inline void cosWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of cos() to the given output tensor.
-
inline poplar::Tensor sin(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the sine of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::sin(a)
, wherea
is an element ofA
.
-
inline void sinInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of sin().
-
inline void sinWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of sin() to the given output tensor.
-
inline poplar::Tensor tan(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the tangent of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::tan(a)
, wherea
is an element ofA
.
-
inline void tanInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of tan().
-
inline void tanWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of tan() to the given output tensor.
-
inline poplar::Tensor tanh(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the hyperbolic tangent of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::tanh(a)
, wherea
is an element ofA
.
-
inline void tanhInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of tanh().
-
inline void tanhWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of tanh() to the given output tensor.
-
inline poplar::Tensor geluErf(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute (1 + erf(A/sqrt(2))) * A / 2 where all the operations are element-wise, and erf is the error function.
This is a very accurate implementation with low relative and absolute error.
- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
geluErf(a)
, wherea
is an element ofA
.
-
inline void geluErfInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of geluErf().
-
inline void geluErfWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of geluErf() to the given output tensor.
-
inline poplar::Tensor erf(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Compute the error function of each element in
A
.- Parameters
graph – The graph to update.
A – A tensor of elements.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information
options – Element-wise options. See map().
- Returns
A tensor where each element is equivalent to the result of
std::erf(a)
, wherea
is an element ofA
.
-
inline void erfInPlace(poplar::Graph &graph, const poplar::Tensor &A, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the input tensor with the result of erf().
-
inline void erfWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of erf() to the given output tensor.
-
inline poplar::Tensor select(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &conditions, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Select elements from one of two tensors depending on a tensor of conditions.
For each element in the output compute
condition ? a : b
, wherecondition
,a
andb
are the corresponding elements in the tensorsconditions
,A
andB
respectively.- Parameters
graph – The graph to update.
A – The first tensor containing the elements to select from.
B – The second tensor containing the elements to select from.
conditions – The tensor containing the elements to use as conditions. When the element is true-like (non-zero) take an element from
A
and when false-like (zero) take an element fromB
.prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor containing the elements from
A
where the corresponding elements inconditions
were non-zero and containing the elements fromB
where the corresponding elements inconditions
were zero.
-
inline void selectInPlace(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &conditions, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the
A
input tensor with the result of select().See select() for parameter descriptions.
-
inline void selectWithOutput(poplar::Graph &graph, const poplar::Tensor &A, const poplar::Tensor &B, const poplar::Tensor &conditions, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of select() to the given output tensor,
out
.See select() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the selected values to.
-
inline poplar::Tensor clamp(poplar::Graph &graph, const poplar::Tensor &values, const poplar::Tensor &minimums, const poplar::Tensor &maximums, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Clamp all the elements in
values
betweenminimums
andmaximums
.Populate the returned tensor with elements from
values
but clamp them such that each element is greater than or equal to the corresponding element inminimums
and less than or equal to the corresponding element inmaximums
.That is, for each element in the returned tensor compute:
min(max(value, min_value), max_value)
, wherevalue
,min_value
andmax_value
are the corresponding elements in the tensorsvalues
,minimums
andmaximums
respectively.- Parameters
graph – The graph to update.
values – The tensor containing the elements to clamp.
minimums – The tensor containing the elements to use as minimums.
maximums – The tensor containing the elements to use as maximums.
prog – The sequence to extend with the execution of the expression evaluation.
debugContext – Optional debug information.
options – Element-wise options. See map().
- Returns
A tensor containing the clamped elements of
values
.
-
inline void clampInPlace(poplar::Graph &graph, const poplar::Tensor &values, const poplar::Tensor &minimums, const poplar::Tensor &maximums, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Update the
values
input tensor with the result of clamp().See clamp() for parameter descriptions.
-
inline void clampWithOutput(poplar::Graph &graph, const poplar::Tensor &values, const poplar::Tensor &minimums, const poplar::Tensor &maximums, const poplar::Tensor &out, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})
Write the result of clamp() to the given output tensor,
out
.See clamp() for the remaining parameter descriptions.
- Parameters
out – The tensor to write the clamped values to.
-
poplar::Tensor map(poplar::Graph &graph, const expr::Expr &expr, const std::vector<poplar::Tensor> &ts, poplar::program::Sequence &prog, const poplar::DebugContext &debugContext = {}, const poplar::OptionFlags &options = {})