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dcbca53e58
Summary: Codemod generated with clangr shard mode, 50 files per diff Reviewed By: li-roy Differential Revision: D10866373 fbshipit-source-id: 589194164d4fea93b74d83fa7fc4c59558c41f4a
71 lines
1.6 KiB
C++
71 lines
1.6 KiB
C++
#include <iostream>
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#include <gtest/gtest.h>
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#include "caffe2/core/context.h"
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#include "caffe2/core/flags.h"
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#include "caffe2/core/operator.h"
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C10_DECLARE_string(caffe_test_root);
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namespace caffe2 {
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template <class DataT>
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static void AddScalarInput(
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const DataT& value,
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const string& name,
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Workspace* ws,
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bool isEmpty = false) {
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Blob* blob = ws->CreateBlob(name);
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auto* tensor = BlobGetMutableTensor(blob, CPU);
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if (!isEmpty) {
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tensor->Resize(vector<int64_t>{1});
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*(tensor->template mutable_data<DataT>()) = value;
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} else {
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tensor->Resize(vector<int64_t>{0});
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tensor->template mutable_data<DataT>();
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}
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return;
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}
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// Test case for BooleanUnmask operator
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// mask1: [ false ]
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// values1: [ ]
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// mask2: [ true ]
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// values2: [ 1.0 ]
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//
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// Expected Output: [ 1.0 ]
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TEST(BooleanUnmaskTest, Test) {
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Workspace ws;
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OperatorDef def;
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def.set_name("test");
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def.set_type("BooleanUnmask");
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def.add_input("mask1");
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def.add_input("values1");
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def.add_input("mask2");
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def.add_input("values2");
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def.add_output("unmasked_data");
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AddScalarInput(false, "mask1", &ws);
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AddScalarInput(float(), "values1", &ws, true);
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AddScalarInput(true, "mask2", &ws);
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AddScalarInput(1.0f, "values2", &ws);
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unique_ptr<OperatorBase> op(CreateOperator(def, &ws));
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EXPECT_NE(nullptr, op.get());
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EXPECT_TRUE(op->Run());
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Blob* unmasked_data_blob = ws.GetBlob("unmasked_data");
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EXPECT_NE(nullptr, unmasked_data_blob);
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auto& unmasked_data = unmasked_data_blob->Get<TensorCPU>();
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EXPECT_EQ(unmasked_data.numel(), 1);
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CHECK_EQ(unmasked_data.data<float>()[0], 1.0f);
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}
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} // namespace caffe2
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