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tensorflow/c/experimental/gradients/nn_grad_test.cc
// `gradient_checker` only works with model that returns only 1 tensor. // Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop // it. outputs[0] = loss; backprop->Unref(); return absl::OkStatus(); } Status BiasAddModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) { VLOG(0) << "Static POSIX filesystem could not be registered: " << status; return false; } return true; } // Perform the actual registration static bool unused = StaticallyRegisterLocalFilesystems();
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 1.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it. outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref(); return absl::OkStatus(); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected:
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// can do its work. // // Rather than re-entering and delegating Accumulate like this, we could // instead allow ForwardAccumulator some control over the current tape set // (so it can deactivate itself and activate its GradientTape). Currently // that is managed by the language binding and would require relatively // messy callbacks. call_state_.top().backward_tape->RecordOperation(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
configure.py
if get_var( environ_cp, 'TF_OVERRIDE_EIGEN_STRONG_INLINE', 'Eigen strong inline', True, ('Would you like to override eigen strong inline for some C++ ' 'compilation to reduce the compilation time?'), 'Eigen strong inline overridden.', 'Not overriding eigen strong inline, ' 'some compilations could take more than 20 mins.'): # Due to a known MSVC compiler issue
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/c_api.cc
return nullptr; #else tensorflow::ServerDef server_def; if (!server_def.ParseFromArray(proto, static_cast<int>(proto_len))) { status->status = InvalidArgument( "Could not parse provided bytes into a ServerDef protocol buffer"); return nullptr; } std::unique_ptr<tensorflow::ServerInterface> out_server; status->status = tensorflow::NewServer(server_def, &out_server);
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
- It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own! - If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/eager/c_api_experimental.h
// APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
tensorflow::unwrap(h); // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here. if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) { return tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>( unwrapped_handle) ->DevicePointer(); } // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2)