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ci/official/envs/public_cache
# Sourcing this enables Bazel remote cache (public, read-only) # The cache configs are different for MacOS and Linux if [[ $(uname -s) == "Darwin" ]]; then TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache" else TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 1011 bytes - Viewed (0) -
ci/official/envs/public_cache_push
# authentication. If you are not a Googler, source "public_cache" to enable the # public read-only cache. # The cache configs are different for MacOS and Linux if [[ $(uname -s) == "Darwin" ]]; then TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache_push" else TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache_push"
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ci/official/utilities/get_versions.sh
# where fields are strings separated by whitespace. export TF_VER_MAJOR=$(awk '/#define TF_MAJOR_VERSION/ {print $3}' tensorflow/core/public/version.h) export TF_VER_MINOR=$(awk '/#define TF_MINOR_VERSION/ {print $3}' tensorflow/core/public/version.h) export TF_VER_PATCH=$(awk '/#define TF_PATCH_VERSION/ {print $3}' tensorflow/core/public/version.h) # Note: in awk, "print $N" prints the Nth "field", where fields are strings separated
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2.3K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler_internal.h
struct TFBufferDeleter { void operator()(TF_Buffer* buf) const { TF_DeleteBuffer(buf); } }; using OwnedTFBuffer = std::unique_ptr<TF_Buffer, TFBufferDeleter>; class CGraphOptimizer : public CustomGraphOptimizer { public: explicit CGraphOptimizer(TP_Optimizer optimizer, const char* device_type) : optimizer_(optimizer), device_type_(device_type) { if (optimizer.create_func != nullptr) {
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Jun 08 08:58:23 GMT 2022 - 3.5K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_tensor_handle.h
// any concrete implementation. However, in cases where the true concrete class // is needed a static_cast can be applied. class ImmediateExecutionTensorHandle : public AbstractTensorHandle { public: // Returns number of dimensions. virtual Status NumDims(int* num_dims) const = 0; // Returns number of elements across all dimensions. virtual Status NumElements(int64_t* num_elements) const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 10 21:56:24 GMT 2023 - 4.3K bytes - Viewed (0) -
models.BUILD
package(default_visibility = ["//visibility:public"]) licenses(["notice"]) # Apache 2.0 filegroup( name = "model_files", srcs = glob( [ "**/*", ], exclude = [ "**/BUILD", "**/WORKSPACE", "**/LICENSE", "**/*.zip", ], ),
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tensorflow/c/eager/abstract_op_attrs.h
namespace tensorflow { // Attributes of an op. class AbstractOpAttrs { protected: enum AbstractOpAttrsKind { kEager, kTfrt }; explicit AbstractOpAttrs(AbstractOpAttrsKind kind) : kind_(kind) {} public: // Returns which subclass is this instance of. AbstractOpAttrsKind getKind() const { return kind_; } virtual ~AbstractOpAttrs() = default; // Returns the AbstractFunction as a FunctionDef.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed May 26 22:20:27 GMT 2021 - 2K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
absl::Span<AbstractTensorHandle*> outputs) { return ops::BiasAdd(ctx, inputs[0], inputs[1], &outputs[0], "NHWC", "BiasAdd"); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
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ci/official/bisect.sh
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tensorflow/c/experimental/gradients/nn_grad.cc
using tensorflow::ops::BiasAddGrad; using tensorflow::ops::Mul; using tensorflow::ops::ReluGrad; namespace tensorflow { namespace gradients { namespace { class ReluGradientFunction : public GradientFunction { public: explicit ReluGradientFunction(vector<AbstractTensorHandle*> f_outputs) : forward_outputs_(f_outputs) { for (auto output : forward_outputs_) { if (output) { output->Ref(); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0)