mozga-intel commented on a change in pull request #19896:
URL: https://github.com/apache/incubator-mxnet/pull/19896#discussion_r619037814
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File path: src/operator/contrib/adaptive_avg_pooling.cc
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@@ -197,6 +198,91 @@
num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
}
}
+#if MXNET_USE_MKLDNN == 1
+bool CanMKLDNNSupportAveragePooling(const NDArray &in_data,
+ const NDArray &out_data) {
+ for (int64_t idx = 2; idx < in_data.shape().ndim(); ++idx) {
+ const int s1 = in_data.shape()[idx];
+ const int s2 = out_data.shape()[idx];
+ if (s2 == 0) {
+ return false;
+ }
+ if (s1 % s2 != 0) {
+ return false;
+ }
+ }
+ const int IH = in_data.shape()[2];
+ const int IW = in_data.shape()[3];
+ const int OH = out_data.shape()[2];
+ const int OW = out_data.shape()[3];
+
+ const int strides_1 = floor((IH << 1) / OH) - floor(IH / OH);
+ const int strides_2 = floor((IW << 1) / OW) - floor(IW / OW);
+ const int kernel_1 = ceil((IH << 1) / OH) - floor(IH / OH);
+ const int kernel_2 = ceil((IW << 1) / OW) - floor(IW / OW);
+ const int pad_l_top = (strides_1 * (OH - 1) + kernel_1 - IH) / 2;
+ const int pad_l_left = (strides_2 * (OW - 1) + kernel_2 - IW) / 2;
+
+ return pad_l_top == 0 && pad_l_left == 0;
+}
+
+
+void AdaptiveAvgPoolComputeExCPU(const nnvm::NodeAttrs &attrs,
+ const OpContext &ctx,
+ const std::vector<NDArray> &inputs,
+ const std::vector<OpReqType> &req,
+ const std::vector<NDArray> &outputs) {
+ CHECK_EQ(inputs.size(), 1U);
+ CHECK_EQ(outputs.size(), 1U);
+ /*
+ DNNL doesn't support adaptive pooling.
+ Fallback is needed when padding is not equal 0;
+ */
+ if (SupportMKLDNN(inputs[0]) &&
+ CanMKLDNNSupportAveragePooling(inputs[0], outputs[0])) {
+ const AdaptiveAvgPoolParam ¶m =
+ nnvm::get<AdaptiveAvgPoolParam>(attrs.parsed);
+ const NDArray *workspace = nullptr;
+ MKLDNN_OPCHECK_INIT(false, 1, inputs, outputs);
+ MKLDNNAdaptivePoolingCompute(ctx, param, inputs[0], req[0], outputs[0],
+ workspace);
+ return;
+ }
+ FallBackCompute(AdaptiveAvgPoolOpForward<cpu>, attrs, ctx, inputs, req,
+ outputs);
+}
+#endif
+
+
+inline static bool AdaptivePoolingStorageType(const nnvm::NodeAttrs &attrs,
+ const int dev_mask,
+ DispatchMode *dispatch_mode,
+ std::vector<int> *in_attrs,
+ std::vector<int> *out_attrs) {
+ CHECK_EQ(in_attrs->size(), 1);
+ bool dispatched = false;
+#if MXNET_USE_MKLDNN == 1
+ if (!dispatched) {
+ dispatched = MKLDNNStorageType(attrs, dev_mask, true, dispatch_mode,
+ in_attrs, out_attrs);
+ }
+ if (!MKLDNNEnvSet()) {
Review comment:
Done.
##########
File path: src/operator/nn/mkldnn/mkldnn_adaptive_pooling.cc
##########
@@ -0,0 +1,98 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file mkldnn_adaptive_pooling.cc
+ * \brief
Review comment:
Done.
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