wehub-resource-sync
96 lines
4.0 KiB
C++
96 lines
4.0 KiB
C++
/* Copyright 2020 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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#ifndef TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_
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#define TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_
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#include "tensorflow/c/eager/abstract_context.h"
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#include "tensorflow/c/eager/abstract_tensor_handle.h"
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#include "tensorflow/c/eager/c_api_test_util.h"
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#include "tensorflow/c/eager/c_api_unified_experimental.h"
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#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
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#include "tensorflow/c/tf_status_helper.h"
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#include "tensorflow/c/tf_tensor.h"
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#include "tensorflow/core/platform/status.h"
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namespace tensorflow {
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// Builds and returns a `TracingContext` using the default tracing impl.
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AbstractContext* BuildFunction(const char* fn_name);
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// Creates parameters (placeholders) in the tracing `ctx` using the shape and
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// dtype of `inputs`.
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absl::Status CreateParamsForInputs(
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AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
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std::vector<AbstractTensorHandle*>* params);
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// A callable that takes tensor inputs and returns zero or more tensor outputs.
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using Model = std::function<absl::Status(
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AbstractContext*, absl::Span<AbstractTensorHandle* const>,
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absl::Span<AbstractTensorHandle*>)>;
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// Runs `model` maybe wrapped in a function call op. This can be thought as
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// being equivalent to the following python code.
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//
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// if use_function:
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// outputs = tf.function(model)(inputs)
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// else:
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// outputs = model(inputs)
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absl::Status RunModel(Model model, AbstractContext* ctx,
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absl::Span<AbstractTensorHandle* const> inputs,
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absl::Span<AbstractTensorHandle*> outputs,
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bool use_function);
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absl::Status BuildImmediateExecutionContext(bool use_tfrt,
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AbstractContext** ctx);
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// Return a tensor handle with given type, values and dimensions.
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template <class T, TF_DataType datatype>
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absl::Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data,
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const int64_t* dims, int num_dims,
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AbstractTensorHandle** tensor) {
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std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
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TF_NewStatus(), TF_DeleteStatus);
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TFE_Context* eager_ctx =
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TF_ExecutionContextGetTFEContext(wrap(ctx), status.get());
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TF_RETURN_IF_ERROR(StatusFromTF_Status(status.get()));
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TFE_TensorHandle* input_eager =
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TestTensorHandleWithDims<T, datatype>(eager_ctx, data, dims, num_dims);
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*tensor =
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unwrap(TF_CreateAbstractTensorFromEagerTensor(input_eager, status.get()));
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return absl::OkStatus();
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}
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// Return a scalar tensor handle with given value.
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template <class T, TF_DataType datatype>
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absl::Status TestScalarTensorHandle(AbstractContext* ctx, const T value,
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AbstractTensorHandle** tensor) {
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std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
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TF_NewStatus(), TF_DeleteStatus);
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TFE_Context* eager_ctx =
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TF_ExecutionContextGetTFEContext(wrap(ctx), status.get());
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TF_RETURN_IF_ERROR(StatusFromTF_Status(status.get()));
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TFE_TensorHandle* input_eager =
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TestScalarTensorHandle<T, datatype>(eager_ctx, value);
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*tensor =
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unwrap(TF_CreateAbstractTensorFromEagerTensor(input_eager, status.get()));
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return absl::OkStatus();
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}
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// Places data from `t` into *result_tensor.
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absl::Status GetValue(AbstractTensorHandle* t, TF_Tensor** result_tensor);
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} // namespace tensorflow
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#endif // TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_
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