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.gitignore
/_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea
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.github/workflows/arm-cd.yml
permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64] strategy: fail-fast: false matrix: pyver: ['3.9', '3.10', '3.11', '3.12'] steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \
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.github/workflows/arm-ci-extended.yml
permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64] strategy: fail-fast: false matrix: pyver: ['3.9', '3.10', '3.11', '3.12'] steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \
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tensorflow/c/c_api_test.cc
TEST(CAPI, DataTypeEnum) { EXPECT_EQ(TF_FLOAT, static_cast<TF_DataType>(tensorflow::DT_FLOAT)); EXPECT_EQ(TF_DOUBLE, static_cast<TF_DataType>(tensorflow::DT_DOUBLE)); EXPECT_EQ(TF_INT32, static_cast<TF_DataType>(tensorflow::DT_INT32)); EXPECT_EQ(TF_UINT8, static_cast<TF_DataType>(tensorflow::DT_UINT8)); EXPECT_EQ(TF_INT16, static_cast<TF_DataType>(tensorflow::DT_INT16)); EXPECT_EQ(TF_INT8, static_cast<TF_DataType>(tensorflow::DT_INT8));
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ci/official/bisect.sh
# Run any CI script and env configuration to bisect a failing target in some # build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job) # TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh
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tensorflow/c/c_api.cc
GraphDef graph_def; *graph_def.mutable_versions() = graph.versions(); // Fill graph_def with nodes with ids in the range // [session->last_num_graph_nodes, num_nodes), that is the nodes // added since the last TF_SessionRun() call. for (auto id = session->last_num_graph_nodes; id < num_nodes; ++id) { Node* const node = graph.FindNodeId(id); if (node != nullptr && node->IsOp()) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
RELEASE.md
* Use the free functions such as `tensorflow::errors::IsInvalidArgument` if needed. * In the last resort, use e.g.`static_cast<tensorflow::errors::Code>(error::Code::INVALID_ARGUMENT)` or `static_cast<int>(code)` for comparisons. * `tensorflow::StatusOr` will also become in the future an alias to `absl::StatusOr`, so use `StatusOr::value` instead of
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tensorflow/c/eager/c_api_unified_experimental.cc
Status status = tensorflow::PartialTensorShape::MakePartialShape( reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims, &partial_shape); if (!status.ok()) { tsl::Set_TF_Status_from_Status(s, status); return nullptr; } } tsl::Set_TF_Status_from_Status( s, tracing_ctx->AddParameter(static_cast<DataType>(dtype), partial_shape, &t));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
dlm_tensor->dl_tensor.byte_offset = 0; // TF doesn't handle the strides and byte_offsets here return static_cast<void*>(dlm_tensor); } TFE_TensorHandle* TFE_HandleFromDLPack(void* dlm, TF_Status* status, TFE_Context* ctx) { DLManagedTensor* dlmt = static_cast<DLManagedTensor*>(dlm); DLTensor* dl_tensor = &dlmt->dl_tensor; absl::optional<std::string> device_name =
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tensorflow/c/eager/gradients.cc
// may lead to collisions. Introduce another way to get a unique id for this // tensor. int64_t ToId(const AbstractTensorHandle* t) { return static_cast<int64_t>(reinterpret_cast<uintptr_t>(t)); } Status ZerosLike(AbstractContext* ctx, AbstractTensorHandle* t, AbstractTensorHandle** result) { AbstractOperationPtr op(ctx->CreateOperation());
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