[GitHub] piiswrong closed pull request #10795: Op for scaled attention

[GitBox <gi...@apache.org>]

piiswrong closed pull request #10795: Op for scaled attention
URL: https://github.com/apache/incubator-mxnet/pull/10795
 
 
   

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/contrib/transformer-inl.h b/src/operator/contrib/transformer-inl.h
new file mode 100644
index 00000000000..01faf244aff
--- /dev/null
+++ b/src/operator/contrib/transformer-inl.h
@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+/*!
+ *  Copyright (c) 2018 by Contributors
+ * \file transformer-inl.h
+ * \brief Function used in cc and cu
+ */
+#ifndef MXNET_OPERATOR_CONTRIB_TRANSFORMER_INL_H_
+#define MXNET_OPERATOR_CONTRIB_TRANSFORMER_INL_H_
+
+#include <mxnet/operator_util.h>
+#include <vector>
+#include "../mxnet_op.h"
+#include "../mshadow_op.h"
+
+
+namespace mxnet {
+namespace op {
+
+template<typename xpu>
+static void DivSqrtDimForward_(const nnvm::NodeAttrs& attrs,
+                  const OpContext& ctx,
+                  const std::vector<TBlob>& inputs,
+                  const std::vector<OpReqType>& req,
+                  const std::vector<TBlob>& outputs) {
+  mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+  double sqrt_dim = std::sqrt(static_cast<double>(inputs[0].shape_[inputs[0].ndim() - 1]));
+  MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
+    MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
+      mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::div, Req>, xpu>::Launch(
+        s, inputs[0].Size(), outputs[0].dptr<DType>(), inputs[0].dptr<DType>(), DType(sqrt_dim));
+    });
+  });
+}
+
+}  // namespace op
+}  // namespace mxnet
+#endif  // MXNET_OPERATOR_CONTRIB_TRANSFORMER_INL_H_
diff --git a/src/operator/contrib/transformer.cc b/src/operator/contrib/transformer.cc
new file mode 100644
index 00000000000..00085c0dc7a
--- /dev/null
+++ b/src/operator/contrib/transformer.cc
@@ -0,0 +1,43 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+/*!
+ *  Copyright (c) 2018 by Contributors
+ * \file transformer.cc
+ * \brief CPU implementation of the operators used in Transformer
+ */
+#include <mxnet/base.h>
+#include "./transformer-inl.h"
+#include "../tensor/elemwise_unary_op.h"
+
+namespace mxnet {
+namespace op {
+
+// relu
+MXNET_OPERATOR_REGISTER_UNARY(_contrib_div_sqrt_dim)
+.describe(R"code(Rescale the input by the square root of the channel dimension.
+
+   out = data / sqrt(data.shape[-1])
+
+)code" ADD_FILELINE)
+.set_attr<FCompute>("FCompute<cpu>", DivSqrtDimForward_<cpu>)
+.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_contrib_div_sqrt_dim"});
+
+}  // namespace op
+}  // namespace mxnet
diff --git a/src/operator/contrib/transformer.cu b/src/operator/contrib/transformer.cu
new file mode 100644
index 00000000000..6ed073db601
--- /dev/null
+++ b/src/operator/contrib/transformer.cu
@@ -0,0 +1,36 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+/*!
+ *  Copyright (c) 2018 by Contributors
+ * \file transformer.cu
+ * \brief GPU implementation of the operators used in Transformer
+ */
+#include <mxnet/base.h>
+#include "./transformer-inl.h"
+
+namespace mxnet {
+namespace op {
+
+// relu
+NNVM_REGISTER_OP(_contrib_div_sqrt_dim)
+.set_attr<FCompute>("FCompute<gpu>", DivSqrtDimForward_<gpu>);
+
+}  // namespace op
+}  // namespace mxnet
diff --git a/tests/python/unittest/test_operator.py b/tests/python/unittest/test_operator.py
index 7ee67dd2066..6cbb66705f9 100644
--- a/tests/python/unittest/test_operator.py
+++ b/tests/python/unittest/test_operator.py
@@ -4099,6 +4099,16 @@ def test_quantization_op():
     assert same(a_.asnumpy(),  a_real.asnumpy())
 
 
+@with_seed()
+def test_div_sqrt_dim():
+    data_tmp = np.random.normal(0, 1, (5, 10, 8))
+    data = mx.symbol.Variable('data')
+    test = mx.sym.contrib.div_sqrt_dim(data)
+
+    check_numeric_gradient(test, [data_tmp], numeric_eps=1E-2)
+    check_symbolic_forward(test, [data_tmp], [data_tmp / np.sqrt(data_tmp.shape[-1])])
+
+
 @with_seed()
 def test_reciprocal_op():
     eps = 2**(-11)


 

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services