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Results 11 - 20 of 34 for value1 (0.23 sec)
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tensorflow/c/experimental/grappler/grappler.cc
if (index >= num_values) break; values[index] = p; lengths[index] = s.size(); if ((p + s.size()) > (static_cast<char*>(storage) + storage_size)) { tsl::Set_TF_Status_from_Status( status, absl::InvalidArgumentError( "Not enough storage to hold the requested list of nodes")); return; } memcpy(values[index], s.data(), s.size());
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
} else { shape_string = "<error computing shape>"; } std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; } if (value_string.length() > 100) { // The default NumPy-style output can be distractingly long in error // messages. value_string = absl::StrCat(value_string.substr(0, 100), " [...]"); } Status s;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
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/eager/custom_device_test.cc
executed = false; num_retvals = 1; TFE_TensorHandle* var_value = nullptr; TFE_Execute(op.get(), &var_value, &num_retvals, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ASSERT_TRUE(executed); auto value_cleaner = tensorflow::gtl::MakeCleanup( [var_value]() { TFE_DeleteTensorHandle(var_value); }); ASSERT_EQ(tensorflow::string(name), tensorflow::string(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Register the POSIX filesystems statically. // Return value will be unused bool StaticallyRegisterLocalFilesystems() { TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) {
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/eager/dlpack.cc
DLTensor* dl_tensor = &dlmt->dl_tensor; absl::optional<std::string> device_name = DeviceNameFromDlContext(dl_tensor->device, status); if (!device_name.has_value()) { status->status = tensorflow::errors::InvalidArgument("Unsupported Device Type"); return nullptr; } TF_DataType dtype; Status s = TfDataTypeFormDlDataType(dl_tensor->dtype, &dtype);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
} // Add a parallel tensor with different values on each device to the variable. { TensorHandlePtr value_one(FloatTensorHandle(3., status.get())); TensorHandlePtr value_two(FloatTensorHandle(-2., status.get())); std::array<TFE_TensorHandle*, 2> components{value_one.get(), value_two.get()}; TensorHandlePtr combined_value =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
// Create a tensor on the first parallel device TensorHandlePtr value_one(FloatTensorHandle(1., status.get())); TensorHandlePtr value_two(FloatTensorHandle(2., status.get())); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); std::array<TFE_TensorHandle*, 2> components{value_one.get(), value_two.get()}; TensorHandlePtr first_combined_value = CreatePerDeviceValues(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/c_api_distributed_test.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
#include "tensorflow/c/tf_tensor.h" namespace tensorflow { namespace gradients { using namespace std; // ================== Helper functions ================= // Fills data with values [start,end) with given step size. void Range(vector<int32_t>* data, int32_t start, int32_t end, int32_t step = 1) { for (int32_t i = start; i < end; i += step) { (*data)[i] = i; } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0)