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tensorflow/c/eager/immediate_execution_tensor_handle.cc
std::string shape_string; if (Shape(&shape).ok()) { shape_string = shape.DebugString(); } 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.
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/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,
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/eager/immediate_execution_tensor_handle.h
// Returns size of specified dimension // // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices. virtual Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 10 21:56:24 GMT 2023 - 4.3K 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
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/c_api_unified_experimental_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); auto* arg1 = TF_AddFunctionParameter(graph_ctx, TF_FLOAT, {-1, nullptr}, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); // Create a first "Add" computing `arg0 + arg1`. TF_AbstractTensor* add_output1; { // Build an abstract operation, inputs and output. auto* add_op = TF_NewAbstractOp(graph_ctx); TF_AbstractOpSetOpType(add_op, "Add", s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.cc
namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) { shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
Status s = BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
#include "tensorflow/c/eager/tape.h" #include "tensorflow/core/common_runtime/eager/attr_builder.h" namespace tensorflow { namespace gradients { // =============== Experimental C++ API for computing gradients =============== // Sample gradient function: // // class AddGradientFunction : public GradientFunction { // public: // Status Compute(Context* ctx,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
SECURITY.md
targets of those operations, which could result in arbitrary read/write/executions. ### Running a TensorFlow server TensorFlow is a platform for distributed computing, and as such there is a TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for internal communication only. It is not built for use in untrusted environments or networks.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// reference counts drop to zero. void ParallelTensorDeallocator(void* data) { delete reinterpret_cast<ParallelTensor*>(data); } // Used as an argument to TFE_NewCustomDeviceTensorHandle, for computing the // number of dimensions of a parallel tensor. int ParallelTensorNumDims(void* data, TF_Status* status) { const std::vector<int64_t>* shape; Status s = reinterpret_cast<ParallelTensor*>(data)->Shape(&shape);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0)