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Results 11 - 20 of 75 for X_dims (0.23 sec)
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tensorflow/c/experimental/gradients/tape/tape_operation.cc
num_dims_i, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), ".")); } if (num_dims_i < 0) { proto[i].set_unknown_rank(true); } else { const int64_t* dims_i = dims[i]; auto proto_i = &proto[i]; for (int d = 0; d < num_dims_i; ++d) { proto_i->add_dim()->set_size(dims_i[d]); } } }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/nn_grad.cc
ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get())); AbstractTensorHandle* expand_dims_outputs; TF_RETURN_IF_ERROR( ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims")); TF_RETURN_IF_ERROR( ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul")); expand_dims_outputs->Unref(); return absl::OkStatus(); } class SparseSoftmaxCrossEntropyWithLogitsGradientFunction
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given float values and dimensions TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given int values and dimensions
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) -
tensorflow/c/eager/abstract_operation.h
virtual Status SetAttrBool(const char* attr_name, bool value) = 0; virtual Status SetAttrType(const char* attr_name, DataType value) = 0; virtual Status SetAttrShape(const char* attr_name, const int64_t* dims, const int num_dims) = 0; virtual Status SetAttrShape(const char* attr_name, const PartialTensorShape shape); virtual Status SetAttrFunction(const char* attr_name,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_test.cc
*/ // Build an abstract input tensor. int64_t dims[] = {2, 2}; // Matrices will be 2 x 2 int num_dims = sizeof(dims) / sizeof(dims[0]); float vals[] = {0.0f, 0.0f, 0.0f, 0.0f}; TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(ctx, status.get()); TFE_TensorHandle* t = TestMatrixTensorHandleWithInput(eager_ctx, vals, dims, num_dims); TF_AbstractTensor* at = TF_CreateAbstractTensorFromEagerTensor(
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/c_api_experimental.h
TF_CAPI_EXPORT extern TF_DataType TF_CheckpointReaderGetVariableDataType( TF_CheckpointReader* reader, const char* name); // Read the shape of a variable and write to `dims` TF_CAPI_EXPORT extern void TF_CheckpointReaderGetVariableShape( TF_CheckpointReader* reader, const char* name, int64_t* dims, int num_dims, TF_Status* status); // Get the number of dimension of a variable TF_CAPI_EXPORT extern int TF_CheckpointReaderGetVariableNumDims(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/c_api.cc
static char empty; int64_t nelems = 1; std::vector<int64_t> dims; dims.reserve(shape.dims()); for (int i = 0; i < shape.dims(); ++i) { dims.push_back(shape.dim_size(i)); nelems *= shape.dim_size(i); } CHECK_EQ(nelems, 0); return TF_NewTensor( dtype, reinterpret_cast<const int64_t*>(dims.data()), shape.dims(), reinterpret_cast<void*>(&empty), 0, [](void*, size_t, void*) {}, nullptr);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
constexpr int64_t dims[] = {100, 100}; constexpr int num_elements = dims[0] * dims[1]; float data[num_elements]; for (int i = 0; i < num_elements; ++i) { data[i] = 1.0f; } TF_Status* status = TF_NewStatus(); TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_FLOAT, &dims[0], sizeof(dims) / sizeof(int64_t), status);
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/c_api_debug.cc
status->status = handle->Tensor(&tensor); if (!status->status.ok()) { return nullptr; } std::vector<int64_t> dev_dims = TensorShapeAsVector(*handle, &status->status); if (!status->status.ok()) { return nullptr; } return new TFE_TensorDebugInfo(dev_dims); } TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo( TFE_TensorDebugInfo* debug_info) { delete debug_info; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 2.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
DCHECK(shape != nullptr); TF_Status status; int num_dims = TF_GraphGetTensorNumDims(graph_, output_, &status); DCHECK_GE(num_dims, -1); TF_RETURN_IF_ERROR(StatusFromTF_Status(&status)); if (num_dims == kUnknownRank) { return absl::OkStatus(); } std::vector<int64_t> dims(num_dims, kUnknownDim); TF_GraphGetTensorShape(graph_, output_,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1)