/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <functional>
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#include <memory>
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#include <vector>
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#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h"
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#include "tensorflow/core/framework/allocator.h"
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#include "tensorflow/core/framework/fake_input.h"
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#include "tensorflow/core/framework/node_def_builder.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/framework/tensor.h"
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#include "tensorflow/core/framework/tensor_testutil.h"
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#include "tensorflow/core/framework/types.h"
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#include "tensorflow/core/framework/types.pb.h"
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#include "tensorflow/core/kernels/ops_testutil.h"
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#include "tensorflow/core/kernels/ops_util.h"
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#include "tensorflow/core/lib/core/status.h"
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#include "tensorflow/core/lib/core/status_test_util.h"
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#include "tensorflow/core/platform/test.h"
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#include "tensorflow/core/platform/test_benchmark.h"
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namespace tensorflow {
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class QuantizedReshapeTest : public OpsTestBase {
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protected:
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QuantizedReshapeTest() {}
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};
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TEST_F(QuantizedReshapeTest, Reshape) {
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TF_ASSERT_OK(NodeDefBuilder("quantized_reshape", "QuantizedReshape")
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.Input(FakeInput(DT_QUINT8))
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.Input(FakeInput(DT_INT32))
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.Input(FakeInput(DT_FLOAT))
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.Input(FakeInput(DT_FLOAT))
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.Finalize(node_def()));
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TF_ASSERT_OK(InitOp());
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Tensor input(DT_QUINT8, {10, 20});
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Tensor expected(DT_QUINT8, {5, 10, 4});
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for (int i = 0; i < input.shape().num_elements(); ++i) {
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input.flat<quint8>()(i) = quint8(i);
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expected.flat<quint8>()(i) = quint8(i);
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}
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AddInputFromArray<quint8>(input.shape(), input.flat<quint8>());
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AddInputFromList<int32>({3}, {5, 10, 4}); // shape
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AddInputFromArray<float>(TensorShape({1}), {-10});
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AddInputFromArray<float>(TensorShape({1}), {20});
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TF_ASSERT_OK(RunOpKernel());
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EXPECT_EQ(-10, GetOutput(1)->flat<float>()(0));
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EXPECT_EQ(20, GetOutput(2)->flat<float>()(0));
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test::ExpectTensorEqual<quint8>(expected, *GetOutput(0));
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}
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} // namespace tensorflow
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