wehub-resource-sync
100 lines
3.4 KiB
C++
100 lines
3.4 KiB
C++
/* Copyright 2024 The TensorFlow Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
==============================================================================*/
|
|
#include "tensorflow/lite/experimental/shlo/ops/util.h"
|
|
|
|
#include <string>
|
|
#include <variant>
|
|
|
|
#include "absl/status/status.h"
|
|
#include "tensorflow/lite/experimental/shlo/data_type.h"
|
|
#include "tensorflow/lite/experimental/shlo/shape.h"
|
|
#include "tensorflow/lite/experimental/shlo/tensor.h"
|
|
|
|
namespace shlo_ref {
|
|
|
|
absl::Status Propagate(const Shape& input_shape, Shape& output_shape) {
|
|
if (output_shape.Dimensions().empty()) {
|
|
output_shape = input_shape;
|
|
} else if (output_shape != input_shape) {
|
|
return absl::FailedPreconditionError(
|
|
"The specified output tensor shape is not compatible with the input "
|
|
"shape.");
|
|
}
|
|
return absl::OkStatus();
|
|
}
|
|
|
|
absl::Status Propagate(const Shape& lhs_shape, const Shape& rhs_shape,
|
|
Shape& output_shape) {
|
|
if (lhs_shape != rhs_shape) {
|
|
return absl::FailedPreconditionError(
|
|
"The LHS and RHS shapes are incompatible.");
|
|
} else if (output_shape.Dimensions().empty()) {
|
|
output_shape = lhs_shape;
|
|
} else if (output_shape != lhs_shape) {
|
|
return absl::FailedPreconditionError(
|
|
"The specified output tensor shape is not compatible with the input "
|
|
"shapes.");
|
|
}
|
|
return absl::OkStatus();
|
|
}
|
|
|
|
bool IsBoolTensor(const Tensor& tensor) {
|
|
return !tensor.IsQuantized() && IsBool(tensor.StorageType());
|
|
}
|
|
|
|
bool IsSignedIntTensor(const Tensor& tensor) {
|
|
return !tensor.IsQuantized() && IsSignedInteger(tensor.StorageType());
|
|
}
|
|
|
|
bool IsUnsignedIntTensor(const Tensor& tensor) {
|
|
return !tensor.IsQuantized() && IsUnsignedInteger(tensor.StorageType());
|
|
}
|
|
|
|
bool IsIntTensor(const Tensor& tensor) {
|
|
return !tensor.IsQuantized() && IsInteger(tensor.StorageType());
|
|
}
|
|
|
|
bool IsFloatTensor(const Tensor& tensor) {
|
|
return !tensor.IsQuantized() && IsFloat(tensor.StorageType());
|
|
}
|
|
|
|
bool IsQuantizedPerTensorTensor(const Tensor& tensor) {
|
|
return tensor.IsPerTensorQuantized();
|
|
}
|
|
|
|
bool IsQuantizedPerAxisTensor(const Tensor& tensor) {
|
|
return tensor.IsPerAxisQuantized();
|
|
}
|
|
|
|
absl::Status CheckSameBaselineType(CheckCtx ctx, const Tensor& tensor1,
|
|
const Tensor& tensor2) {
|
|
if (BaselineType(tensor1.element_type()) !=
|
|
BaselineType(tensor2.element_type())) {
|
|
std::string tensor1_type_repr =
|
|
std::visit([](auto v) -> std::string { return ToString(v); },
|
|
tensor1.element_type());
|
|
std::string tensor2_type_repr =
|
|
std::visit([](auto v) -> std::string { return ToString(v); },
|
|
tensor2.element_type());
|
|
return absl::FailedPreconditionError(
|
|
"stablehlo." + ctx.op_name +
|
|
": baseline type constraint is not satisfied " + tensor1_type_repr +
|
|
" and " + tensor2_type_repr + ".");
|
|
}
|
|
return absl::OkStatus();
|
|
}
|
|
|
|
} // namespace shlo_ref
|