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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/07 19:35:34 UTC

[GitHub] piiswrong closed pull request #8540: div_scalar for sparse

piiswrong closed pull request #8540: div_scalar for sparse
URL: https://github.com/apache/incubator-mxnet/pull/8540
 
 
   

This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:

As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):

diff --git a/src/operator/tensor/elemwise_binary_scalar_op_basic.cc b/src/operator/tensor/elemwise_binary_scalar_op_basic.cc
index 0f0004c6bc..742c142053 100644
--- a/src/operator/tensor/elemwise_binary_scalar_op_basic.cc
+++ b/src/operator/tensor/elemwise_binary_scalar_op_basic.cc
@@ -130,6 +130,15 @@ MXNET_OPERATOR_REGISTER_BINARY_SCALAR(_rminus_scalar)
 .add_alias("_RMinusScalar");
 
 MXNET_OPERATOR_REGISTER_BINARY_SCALAR(_mul_scalar)
+.describe(R"doc(Multiply an array with a scalar.
+
+``_mul_scalar`` only operates on data array of input if input is sparse.
+
+For example, if input of shape (100, 100) has only 2 non zero elements,
+i.e. input.data = [5, 6], scalar = nan,
+it will result output.data = [nan, nan] instead of 10000 nans.
+
+)doc" ADD_FILELINE)
 .set_attr<FInferStorageType>("FInferStorageType", BinaryScalarStorageType)
 .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow::op::mul>)
 .set_attr<FComputeEx>("FComputeEx<cpu>", BinaryScalarOp::ComputeEx<cpu, mshadow::op::mul>)
@@ -143,10 +152,28 @@ MXNET_OPERATOR_REGISTER_BINARY_SCALAR(_backward_mul_scalar)
 .set_attr<FComputeEx>("FComputeEx<cpu>", BinaryScalarOp::ComputeEx<cpu, mshadow::op::mul>);
 
 MXNET_OPERATOR_REGISTER_BINARY_SCALAR(_div_scalar)
+.describe(R"doc(Divide an array with a scalar.
+
+``_div_scalar`` only operates on data array of input if input is sparse.
+
+For example, if input of shape (100, 100) has only 2 non zero elements,
+i.e. input.data = [5, 6], scalar = nan,
+it will result output.data = [nan, nan] instead of 10000 nans.
+
+)doc" ADD_FILELINE)
+.set_attr<FInferStorageType>("FInferStorageType", BinaryScalarStorageType)
 .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow::op::div>)
-.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_div_scalar"})
+.set_attr<FComputeEx>("FComputeEx<cpu>", BinaryScalarOp::ComputeEx<cpu, mshadow::op::div>)
+.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_backward_div_scalar"})
 .add_alias("_DivScalar");
 
+MXNET_OPERATOR_REGISTER_BINARY_SCALAR(_backward_div_scalar)
+.set_attr<nnvm::TIsBackward>("TIsBackward", true)
+.set_attr<FInferStorageType>("FInferStorageType", BinaryScalarStorageType)
+.set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow::op::div>)
+.set_attr<FComputeEx>("FComputeEx<cpu>", BinaryScalarOp::ComputeEx<cpu, mshadow::op::div>);
+
+
 MXNET_OPERATOR_REGISTER_BINARY_SCALAR(_rdiv_scalar)
 .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow_op::rdiv>)
 .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_rdiv_scalar"})
diff --git a/src/operator/tensor/elemwise_binary_scalar_op_basic.cu b/src/operator/tensor/elemwise_binary_scalar_op_basic.cu
index afbb46b418..32e51d3990 100644
--- a/src/operator/tensor/elemwise_binary_scalar_op_basic.cu
+++ b/src/operator/tensor/elemwise_binary_scalar_op_basic.cu
@@ -45,7 +45,12 @@ NNVM_REGISTER_OP(_backward_mul_scalar)
 .set_attr<FComputeEx>("FComputeEx<gpu>", BinaryScalarOp::ComputeEx<gpu, mshadow::op::mul>);
 
 NNVM_REGISTER_OP(_div_scalar)
-.set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow::op::div>);
+.set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow::op::div>)
+.set_attr<FComputeEx>("FComputeEx<gpu>", BinaryScalarOp::ComputeEx<gpu, mshadow::op::div>);
+
+NNVM_REGISTER_OP(_backward_div_scalar)
+.set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow::op::div>)
+.set_attr<FComputeEx>("FComputeEx<gpu>", BinaryScalarOp::ComputeEx<gpu, mshadow::op::div>);
 
 NNVM_REGISTER_OP(_rdiv_scalar)
 .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow_op::rdiv>);
diff --git a/tests/python/unittest/test_sparse_ndarray.py b/tests/python/unittest/test_sparse_ndarray.py
index 0bbb5ffaaa..cb564906df 100644
--- a/tests/python/unittest/test_sparse_ndarray.py
+++ b/tests/python/unittest/test_sparse_ndarray.py
@@ -246,7 +246,7 @@ def check_binary(fn, stype):
         check_binary(lambda x, y: x == y, stype)
 
 
-def test_sparse_nd_binary_rop():
+def test_sparse_nd_binary_scalar_op():
     N = 3
     def check(fn, stype):
         for _ in range(N):
@@ -269,6 +269,7 @@ def check(fn, stype):
         check(lambda x: 0.5 >= x, stype)
         check(lambda x: 0.5 <= x, stype)
         check(lambda x: 0.5 == x, stype)
+        check(lambda x: x / 2, stype)
 
 def test_sparse_nd_binary_iop():
     N = 3


 

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