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Results 11 - 20 of 23 for Chandler (0.15 sec)
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tensorflow/c/eager/c_api_distributed_test.cc
// Pack 3 variable handles into one TFE_TensorHandle. // When remote is false, function device is placed on task0. Handle types are // REMOTE, REMOTE, LOCAL on task0. When remote is true, function device is // placed on task1, Handle types are LOCAL, REMOTE, LOCAL on task1. int num_replicas = 3; std::vector<TFE_TensorHandle*> handles = {h0, h1, h2}; TFE_TensorHandle* packed_handle =
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/experimental/next_pluggable_device/c_api.cc
absl::StrCat("Trying to obtain resource handle from Input[", index, "], which is not type DT_RESOURCE.")); status->status = cc_status; return nullptr; } const tensorflow::ResourceHandle& handle = arg_tensor.flat<tensorflow::ResourceHandle>()(0); tensorflow::Var* variable; cc_status = tensorflow::LookupResource(cc_ctx, handle, &variable);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/eager/gradient_checker.cc
==============================================================================*/ #include "tensorflow/c/eager/gradient_checker.h" #include <memory> #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_tensor.h" namespace tensorflow { namespace gradients { using namespace std;
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) -
tensorflow/c/eager/gradients_test.cc
#include "tensorflow/c/eager/gradients.h" #include <memory> #include "absl/container/flat_hash_set.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/eager/c_api_test_util.h" #include "tensorflow/c/eager/c_api_unified_experimental.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
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.cc
->DevicePointer(); } // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here. if (!tensorflow::TensorHandle::classof(unwrapped_handle)) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return nullptr; } tensorflow::TensorHandle* handle = tensorflow::TensorHandleFromInterface(unwrapped_handle);
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) -
tensorflow/c/eager/c_api_experimental.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_test_util.cc
if (TF_GetCode(status) != TF_OK) return nullptr; TFE_TensorHandle* var_handle = nullptr; int num_retvals = 1; TFE_Execute(op, &var_handle, &num_retvals, status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_DeleteOp(op); if (TF_GetCode(status) != TF_OK) return nullptr; CHECK_EQ(1, num_retvals); TF_DeleteStatus(status); return var_handle; } TFE_TensorHandle* CreateVariable(TFE_Context* ctx, float value,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/eager/unified_api_testutil.cc
tracing::TracingTensorHandle* handle = nullptr; for (auto input : inputs) { PartialTensorShape shape; TF_RETURN_IF_ERROR(input->Shape(&shape)); TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter( input->DataType(), shape, &handle)); params->emplace_back(handle); } return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/experimental/gradients/math_grad.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/gradients.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/experimental/ops/nn_ops.h" using std::vector;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
// Since the input was forwarded, we released the input handle right away // and hence expect the input to be forwarded to the return tensor. EXPECT_EQ(orig_ptr, TF_TensorData(t)); } else { // In async mode we expect forwarding to work without releasing the input // handle since by the time the kernel is executed we have released the // handle in the client code. EXPECT_EQ(orig_ptr, TF_TensorData(t));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1)