[WIP] few tweaks (#206)

* scatter empty check

Signed-off-by: raver119 <raver119@gmail.com>

* scatter empty test

Signed-off-by: raver119 <raver119@gmail.com>

* one more test

Signed-off-by: raver119 <raver119@gmail.com>

* two tweaks

Signed-off-by: raver119 <raver119@gmail.com>

* dup tweak

Signed-off-by: raver119 <raver119@gmail.com>

* - put empty checking of indices array immediately prior  helper run

Signed-off-by: Yurii <yurii@skymind.io>

* minor tests fix

Signed-off-by: raver119 <raver119@gmail.com>

* minor tests fix

Signed-off-by: raver119 <raver119@gmail.com>

libnd4j/include/ops/declarable/generic/parity_ops/scatter_add.cpp

@@ -35,6 +35,9 @@ OP_IMPL(scatter_add, 3, 1, true) {
 
     auto output = OUTPUT_VARIABLE(0);
 
+    if (!block.isInplace())
+        output->assign(input);
+
     const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
 
     const int inRank  = input->rankOf();
@@ -68,9 +71,7 @@ OP_IMPL(scatter_add, 3, 1, true) {
         REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_ADD OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
     }
 
-    if (!block.isInplace())
+    if (!indices->isEmpty())
-        output->assign(input);
-
         helpers::scatter(block.launchContext(), pairwise::Add, *indices, *updates, *output, lock);
 
     return Status::OK();

libnd4j/include/ops/declarable/generic/parity_ops/scatter_div.cpp

@@ -35,6 +35,9 @@ namespace nd4j {
 
             auto output = OUTPUT_VARIABLE(0);
 
+            if (!block.isInplace())
+                output->assign(input);
+
             const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
 
             const int inRank  = input->rankOf();
@@ -67,11 +70,10 @@ namespace nd4j {
                 REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_DIV OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
             }
 
-            if (!block.isInplace())
+            if (!indices->isEmpty())
-                output->assign(input);
-
                 // ScatterHelper<T>::template scatterApply<simdOps::Divide<T>>(output, indices, updates);
                 helpers::scatter(block.launchContext(), pairwise::Divide, *indices, *updates, *output, lock);
+
             return Status::OK();
         }
         DECLARE_SYN(ScatterDiv, scatter_div);

libnd4j/include/ops/declarable/generic/parity_ops/scatter_max.cpp

@@ -35,6 +35,9 @@ OP_IMPL(scatter_max, 3, 1, true) {
 
     auto output = OUTPUT_VARIABLE(0);
 
+    if (!block.isInplace())
+        output->assign(input);
+
     const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
 
     const int inRank  = input->rankOf();
@@ -67,9 +70,7 @@ OP_IMPL(scatter_max, 3, 1, true) {
         REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_MAX OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
     }
 
-    if (!block.isInplace())
+    if (!indices->isEmpty())
-            output->assign(input);
-
         helpers::scatter(block.launchContext(), pairwise::MaxPairwise, *indices, *updates, *output, lock);
 
     return Status::OK();

libnd4j/include/ops/declarable/generic/parity_ops/scatter_min.cpp

@@ -35,6 +35,9 @@ OP_IMPL(scatter_min, 3, 1, true) {
 
     auto output = OUTPUT_VARIABLE(0);
 
+    if (!block.isInplace())
+        output->assign(input);
+
     const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
 
     const int inRank  = input->rankOf();
@@ -67,9 +70,7 @@ OP_IMPL(scatter_min, 3, 1, true) {
         REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_MIN OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
     }
 
-    if (!block.isInplace())
+    if (!indices->isEmpty())
-            output->assign(input);
-
         helpers::scatter(block.launchContext(), pairwise::MinPairwise, *indices, *updates, *output, lock);
 
     return Status::OK();

libnd4j/include/ops/declarable/generic/parity_ops/scatter_mul.cpp

@@ -40,6 +40,10 @@ namespace nd4j {
             const int indRank = indices->rankOf();
             const int updRank = updates->rankOf();
 
+            if (!block.isInplace())
+                output->assign(input);
+
+
             REQUIRE_TRUE(inRank > 0, 0, "SCATTER_MUL OP: input should not be scalar !");
 
             if(inRank == 1) {
@@ -66,9 +70,7 @@ namespace nd4j {
                 REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_MUL OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
             }
 
-            if (!block.isInplace())
+            if (!indices->isEmpty())
-                output->assign(input);
-
                 helpers::scatter(block.launchContext(), pairwise::Multiply, *indices, *updates, *output, lock);
 
             return Status::OK();

libnd4j/include/ops/declarable/generic/parity_ops/scatter_sub.cpp

@@ -34,6 +34,9 @@ namespace nd4j {
 
             auto output = OUTPUT_VARIABLE(0);
 
+            if (!block.isInplace())
+                output->assign(input);
+
             const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
 
             const int inRank  = input->rankOf();
@@ -67,9 +70,7 @@ namespace nd4j {
                 REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_SUB OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
             }
 
-            if (!block.isInplace())
+            if (!indices->isEmpty())
-                output->assign(input);
-
                 // ScatterHelper<T>::template scatterApply<simdOps::Subtract<T>>(output, indices, updates);
                 helpers::scatter(block.launchContext(), pairwise::Subtract, *indices, *updates, *output, lock);
 

libnd4j/include/ops/declarable/generic/parity_ops/scatter_upd.cpp

@@ -33,6 +33,9 @@ namespace nd4j {
 
             auto output = OUTPUT_VARIABLE(0);
 
+            if (!block.isInplace())
+                output->assign(input);
+
             const bool lock = block.getBArguments()->empty() ? true : B_ARG(0);
 
             const int inRank  = input->rankOf();
@@ -65,9 +68,7 @@ namespace nd4j {
                 REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_UPD OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());
             }
 
-            if (!block.isInplace())
+            if (!indices->isEmpty())
-                output->assign(input);
-
                 // ScatterHelper<T>::template scatterApply<simdOps::Copy<T>>(output, indices, updates);
                 helpers::scatter(block.launchContext(), pairwise::CopyPws, *indices, *updates, *output, lock);
 

libnd4j/tests_cpu/layers_tests/EmptyTests.cpp

@@ -207,6 +207,46 @@ TEST_F(EmptyTests, Test_dup_1) {
     delete dup;
 }
 
+TEST_F(EmptyTests, test_empty_scatter_1) {
+    auto x = NDArrayFactory::create<float>('c', {5});
+    auto indices = NDArrayFactory::create<int>('c', {0});
+    auto updates = NDArrayFactory::create<float>('c', {0});
+
+    x.linspace(1.0f);
+
+    nd4j::ops::scatter_upd op;
+    auto result = op.execute({&x, &indices, &updates}, {}, {}, {true});
+    ASSERT_EQ(Status::OK(), result->status());
+
+    auto z = result->at(0);
+    ASSERT_EQ(x, *z);
+
+    delete result;
+}
+
+TEST_F(EmptyTests, test_empty_scatter_2) {
+    auto x = NDArrayFactory::create<float>('c', {5});
+    auto z = NDArrayFactory::create<float>('c', {5});
+    auto indices = NDArrayFactory::create<int>('c', {0});
+    auto updates = NDArrayFactory::create<float>('c', {0});
+
+    x.linspace(1.0f);
+
+    Context ctx(1);
+    ctx.setInputArray(0, x.buffer(), x.shapeInfo(), x.specialBuffer(), x.specialShapeInfo());
+    ctx.setInputArray(1, indices.buffer(), indices.shapeInfo(), indices.specialBuffer(), indices.specialShapeInfo());
+    ctx.setInputArray(2, updates.buffer(), updates.shapeInfo(), updates.specialBuffer(), updates.specialShapeInfo());
+    ctx.setOutputArray(0, z.buffer(), z.shapeInfo(), z.specialBuffer(), z.specialShapeInfo());
+    bool args[] = {true};
+    ctx.setBArguments(args, 1);
+
+    nd4j::ops::scatter_upd op;
+    auto result = op.execute(&ctx);
+    ASSERT_EQ(Status::OK(), result);
+
+    ASSERT_EQ(x, z);
+}
+
 TEST_F(EmptyTests, test_shaped_empty_1) {
     auto empty = NDArrayFactory::create<float>('c', {2, 0, 3});
     std::vector<Nd4jLong> shape = {2, 0, 3};

nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/ndarray/BaseNDArray.java

@@ -1732,6 +1732,8 @@ public abstract class BaseNDArray implements INDArray, Iterable {
         if(isEmpty())
             return this;
 
+        Nd4j.getCompressor().autoDecompress(this);
+
         // fixme: eventually it would be nice to have this in native code
         if (isS()) {
             val list = new ArrayList<String>();
@@ -1741,8 +1743,9 @@ public abstract class BaseNDArray implements INDArray, Iterable {
             return Nd4j.create(list, this.shape(), this.ordering());
         }
 
-        Nd4j.getCompressor().autoDecompress(this);
+        val z = Nd4j.createUninitialized(this.dataType(), this.shape(), order);
-        return Shape.toOffsetZeroCopy(this, order);
+        z.assign(this);
+        return z;
     }
 
     /**