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Merge pull request #2706 from Canpio/dev_tensor_test
fix compile errors in tensor. `PlaceholderImpl::Deleter` maybe used in other modules. We can consider moving it to be `paddle::memory::Deleter`.
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/* | ||
Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. | ||
Licensed 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. | ||
*/ | ||
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#include "paddle/framework/tensor.h" | ||
#include <gtest/gtest.h> | ||
#include <string> | ||
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TEST(Tensor, ASSERT) { | ||
paddle::framework::Tensor cpu_tensor; | ||
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bool caught = false; | ||
try { | ||
const double* p __attribute__((unused)) = cpu_tensor.data<double>(); | ||
} catch (paddle::framework::EnforceNotMet err) { | ||
caught = true; | ||
std::string msg = "Tensor::data must be called after Tensor::mutable_data."; | ||
const char* what = err.what(); | ||
for (size_t i = 0; i < msg.length(); ++i) { | ||
ASSERT_EQ(what[i], msg[i]); | ||
} | ||
} | ||
ASSERT_TRUE(caught); | ||
} | ||
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/* mutable_data() is not tested at present | ||
because Memory::Alloc() and Memory::Free() have not been ready. | ||
TEST(Tensor, MutableData) { | ||
using namespace paddle::framework; | ||
using namespace paddle::platform; | ||
{ | ||
Tensor cpu_tensor; | ||
float* p1 = nullptr; | ||
float* p2 = nullptr; | ||
// initialization | ||
p1 = cpu_tensor.mutable_data<float>(make_ddim({1, 2, 3}), CPUPlace()); | ||
EXPECT_NE(p1, nullptr); | ||
// set cpu_tensor a new dim with large size | ||
// momery is supposed to be re-allocated | ||
p2 = cpu_tensor.mutable_data<float>(make_ddim({3, 4})); | ||
EXPECT_NE(p2, nullptr); | ||
EXPECT_NE(p1, p2); | ||
// set cpu_tensor a new dim with same size | ||
// momery block is supposed to be unchanged | ||
p1 = cpu_tensor.mutable_data<float>(make_ddim({2, 2, 3})); | ||
EXPECT_EQ(p1, p2); | ||
// set cpu_tensor a new dim with smaller size | ||
// momery block is supposed to be unchanged | ||
p2 = cpu_tensor.mutable_data<float>(make_ddim({2, 2})); | ||
EXPECT_EQ(p1, p2); | ||
} | ||
{ | ||
Tensor gpu_tensor; | ||
float* p1 = nullptr; | ||
float* p2 = nullptr; | ||
// initialization | ||
p1 = gpu_tensor.mutable_data<float>(make_ddim({1, 2, 3}), GPUPlace()); | ||
EXPECT_NE(p1, nullptr); | ||
// set gpu_tensor a new dim with large size | ||
// momery is supposed to be re-allocated | ||
p2 = gpu_tensor.mutable_data<float>(make_ddim({3, 4})); | ||
EXPECT_NE(p2, nullptr); | ||
EXPECT_NE(p1, p2); | ||
// set gpu_tensor a new dim with same size | ||
// momery block is supposed to be unchanged | ||
p1 = gpu_tensor.mutable_data<float>(make_ddim({2, 2, 3})); | ||
EXPECT_EQ(p1, p2); | ||
// set gpu_tensor a new dim with smaller size | ||
// momery block is supposed to be unchanged | ||
p2 = gpu_tensor.mutable_data<float>(make_ddim({2, 2})); | ||
EXPECT_EQ(p1, p2); | ||
} | ||
} | ||
*/ |