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Results 1 - 4 of 4 for could (0.19 sec)
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_helper.cc
int dst_fd = open(dst, O_WRONLY | O_CREAT | O_TRUNC, open_mode); if (dst_fd < 0) { close(src_fd); return -1; } // Both files have been opened, do the transfer. // Since errno would be overridden by `close` below, save it here. int error_code = 0; if (CopyFileContents(dst_fd, src_fd, size) < 0) error_code = errno; close(src_fd); close(dst_fd); if (error_code != 0) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jan 16 05:36:52 GMT 2020 - 2.1K bytes - Viewed (1) -
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) -
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)