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tensorflow/c/eager/dlpack_test.cc
EXPECT_EQ(dltensor_out->device.device_type, dltensor_in->device.device_type); EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id); EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim); EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code); EXPECT_EQ(dltensor_out->dtype.bits, dltensor_in->dtype.bits); EXPECT_EQ(dltensor_out->dtype.lanes, dltensor_in->dtype.lanes); for (int i = 0; i < dltensor_in->ndim; ++i) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K bytes - Viewed (0) -
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/checkpoint_reader.cc
Status status; if (reader_ != nullptr) { status = reader_->GetTensor(name, out_tensor); } else { tensorflow::DataType dtype; tensorflow::TensorShape shape; status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape); if (status.ok()) { out_tensor->reset(new Tensor(dtype, shape)); status = v2_reader_->Lookup(name, out_tensor->get()); if (!status.ok()) out_tensor->reset(); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
src/cmd/cgo/gcc.go
} } } // Type returns a *Type with the same memory layout as // dtype when used as the type of a variable or a struct field. func (c *typeConv) Type(dtype dwarf.Type, pos token.Pos) *Type { return c.loadType(dtype, pos, "") } // loadType recursively loads the requested dtype and its dependency graph. func (c *typeConv) loadType(dtype dwarf.Type, pos token.Pos, parent string) *Type {
Go - Registered: Tue Apr 30 11:13:12 GMT 2024 - Last Modified: Thu Nov 02 16:43:23 GMT 2023 - 97K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
TF_Status* s) { unwrap(o)->outputs.push_back(unwrap(tensor)); } void TF_AbstractOpSetOpType(TF_AbstractOp* op, const char* const op_type, TF_Status* s) { tsl::Set_TF_Status_from_Status( s, unwrap(op)->Reset(op_type, /*raw_device_name=*/nullptr)); } void TF_AbstractOpSetOpName(TF_AbstractOp* op, const char* const op_name,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 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/c_api_test.cc
name_and_attrs.attr().find("dtype")->second.type()); TF_DeleteBuffer(serialized_attr_values); TFE_Op* var_op_2 = TFE_NewOp(ctx, "VarHandleOp", status); string serialized_dtype; ASSERT_TRUE(name_and_attrs.attr().find("dtype")->second.SerializeToString( &serialized_dtype)); TFE_OpSetAttrValueProto( var_op_2, "dtype",
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) -
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)