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Results 41 - 50 of 56 for _values (0.17 sec)
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
// * allows having older plugins than the current core TensorFlow (though // we are still warning users): the entries that core TensorFlow expects // but plugins didn't provide will be set to `nullptr` values and core // TensorFlow will know to not call these on behalf of users; // * increased security as plugins will not be able to alter function table // after loading up. Thus, malicious plugins can't alter functionality to
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
const char* block_size_env = std::getenv(kBlockSize); if (block_size_env && absl::SimpleAtoi(block_size_env, &value)) { block_size = value * 1024 * 1024; } const char* max_bytes_env = std::getenv(kMaxCacheSize); if (max_bytes_env && absl::SimpleAtoi(max_bytes_env, &value)) { max_bytes = static_cast<size_t>(value * 1024 * 1024); } const char* max_staleness_env = std::getenv(kMaxStaleness);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); auto result_value = static_cast<float*>(TF_TensorData(result_tensor)); EXPECT_EQ(*result_value, 1.0); outputs[0]->Unref(); TF_DeleteTensor(result_tensor); result_tensor = nullptr; } INSTANTIATE_TEST_SUITE_P( CustomGradientTest, CustomGradientTest, ::testing::Combine(::testing::Values("graphdef", "mlir"),
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad_test.cc
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// gradient function can accept None values. e.g. FusedBatchNorm outputs 5 // values and hence receives 5 gradient values during backprop. However the // gradient function uses only the first of those values and ignores the rest. // The entry, "FusedBatchNorm": [1, 2, 3, 4], indicates that only the gradient // corresponding to index 0 is used, and the gradient values at indices 1-4 are
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) -
tensorflow/c/eager/gradients_test.cc
::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*executing_eagerly*/ ::testing::Values(true, false))); #else INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_reader.h
// read current values from streamz counters defined in other modules. // // The code under test will have created streamz counters like this: // auto* streamz = tensorflow::monitoring::Counter<1>::New("name", // "description", "label"); // and then incremented that counter for various values of label: // streamz->GetCell("label-value")->IncrementBy(1); //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 20 03:14:47 GMT 2023 - 2.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
auto device_value = absl::make_unique<DataType>(); *device_value = values[device_index]; std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor( TF_NewTensor( datatype_enum, /*dims=*/nullptr, /*num_dims=*/0, device_value.release(), sizeof(DataType), [](void* data, size_t, void* arg) { delete reinterpret_cast<DataType*>(data); },
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K 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/c_api_test_util.h
TF_DeleteTensor(t); TF_DeleteStatus(status); return th; } // Return a scalar tensor handle with given values. template <class T, TF_DataType datatype> TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, const T value) { T data[] = {value}; return TestTensorHandleWithDims<T, datatype>(ctx, data, nullptr, 0); } // Return a tensor handle containing a 100x100 matrix of floats
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0)