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tensorflow/c/eager/dlpack.cc
owner->reference.Unref(); delete owner; } // Converts TF_DATAType to DLPack data type. DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) { DLDataType dtype; dtype.lanes = 1; dtype.bits = TF_DataTypeSize(data_type) * 8; switch (data_type) { case TF_DataType::TF_BOOL: dtype.code = DLDataTypeCode::kDLBool; break; case TF_DataType::TF_HALF: case TF_DataType::TF_FLOAT:
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/c_test_util.cc
} return found_dtype && found_shape; } bool IsScalarConst(const tensorflow::NodeDef& node_def, int v) { if (node_def.op() != "Const" || node_def.name() != "scalar") { return false; } bool found_dtype = false; bool found_value = false; for (const auto& attr : node_def.attr()) { if (attr.first == "dtype") { if (attr.second.type() == tensorflow::DT_INT32) { found_dtype = true;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
absl::Span<const int64_t> shape, const TF_DataType dtype) : device_(device), tensors_(std::move(tensors)), shape_(std::vector<int64_t>(shape.begin(), shape.end())), dtype_(dtype) {} ParallelTensor(const ParallelDevice& device, std::vector<TensorHandlePtr> tensors, const TF_DataType dtype) : device_(device), tensors_(std::move(tensors)),
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_lib.cc
} if (TFE_TensorHandleDataType(component.get()) != dtype) { TF_SetStatus(status, TF_INTERNAL, "Components of a ParallelTensor must all have " "the same dtype"); return nullptr; } } return std::unique_ptr<ParallelTensor>( new ParallelTensor(parallel_device, std::move(components), shape, dtype)); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
} TFE_TensorHandle* TFE_NewTensorHandleFromScalar(TF_DataType data_type, void* data, size_t len, TF_Status* status) { auto dtype = static_cast<tensorflow::DataType>(data_type); DCHECK(tensorflow::DataTypeCanUseMemcpy(dtype)); tensorflow::Tensor tensor(dtype, tensorflow::TensorShape({}));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(op.get(), "shape", {}, 0, status.get()); TFE_OpSetAttrString(op.get(), "container", "", 0); TFE_OpSetAttrString(op.get(), "shared_name", "", 0);
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/gradients/math_grad.cc
auto dtype = input->DataType(); if (DataTypeIsFloating(BaseType(dtype)) || DataTypeIsInteger(BaseType(dtype))) { return tensorflow::ops::Identity(ctx, input, output, name); } else if (!DataTypeIsComplex(BaseType(dtype)) && BaseType(dtype) != DT_VARIANT) { return errors::InvalidArgument( "Expected numeric or variant tensor, got dtype ", dtype); }
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/tape.h
call_state_.top().backward_tape->RecordOperation( op_type, output_tensors, input_tensor_id, input_dtypes, backward_function_getter, backward_function_deleter); return absl::OkStatus(); } if (!ShouldRecord(input_tensor_id, input_dtypes)) { return absl::OkStatus(); } // We may need to allocate zero inputs for trainable dtypes we don't have JVPs // for. Make sure they get cleaned up.
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/parallel_device/parallel_device_lib_test.cc
TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(handle_op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(handle_op.get(), "shape", /*dims=*/nullptr, /*num_dims=*/0, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); auto outputs =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
Variable* Variable::Create(TFE_Context* context, TF_DataType type, const int64_t* dims, const int num_dims, const char* device, TF_Status* status) { std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "VarHandleOp", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op.get(), "dtype", type);
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)