wehub-resource-sync
75 lines
2.6 KiB
C++
75 lines
2.6 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/exponential.h"
|
|
|
|
#include <cmath>
|
|
|
|
#include "absl/status/status.h"
|
|
#include "tensorflow/lite/experimental/shlo/bf16.h"
|
|
#include "tensorflow/lite/experimental/shlo/dispatch.h"
|
|
#include "tensorflow/lite/experimental/shlo/f16.h"
|
|
#include "tensorflow/lite/experimental/shlo/ops/unary_elementwise.h"
|
|
#include "tensorflow/lite/experimental/shlo/ops/util.h"
|
|
#include "tensorflow/lite/experimental/shlo/tensor.h"
|
|
|
|
namespace shlo_ref {
|
|
|
|
struct Exponential {
|
|
template <class T>
|
|
T operator()(T v) const {
|
|
return std::exp(v);
|
|
}
|
|
};
|
|
|
|
template <>
|
|
F16 Exponential::operator()<F16>(F16 val) const {
|
|
return F16(operator()(static_cast<float>(val)));
|
|
}
|
|
|
|
template <>
|
|
BF16 Exponential::operator()<BF16>(BF16 val) const {
|
|
return BF16(operator()(static_cast<float>(val)));
|
|
}
|
|
|
|
ExponentialOp Create(ExponentialOp::Attributes) { return {}; }
|
|
|
|
absl::Status Prepare(ExponentialOp& op, const Tensor& input, Tensor& output) {
|
|
SHLO_REF_RETURN_ON_ERROR(Propagate(input.shape(), output.shape()));
|
|
SHLO_REF_RETURN_ON_ERROR(CheckSupportedTypes(
|
|
CheckCtx("cosine"), input, IsFloatTensor, IsQuantizedPerTensorTensor));
|
|
SHLO_REF_RETURN_ON_ERROR(
|
|
CheckSameBaselineType(CheckCtx("cosine"), input, output));
|
|
return absl::OkStatus();
|
|
}
|
|
|
|
absl::Status Evaluate(ExponentialOp& op, const Tensor& input, Tensor& output) {
|
|
Exponential exponential;
|
|
if (input.IsPerTensorQuantized()) {
|
|
DISPATCH_QUANTIZED(
|
|
detail::DequantizeOpQuantizePerTensor,
|
|
input.quantized_per_tensor_element_type().StorageType(),
|
|
input.quantized_per_tensor_element_type().ExpressedType(), exponential,
|
|
input, output)
|
|
} else if (IsFloatTensor(input)) {
|
|
DISPATCH_FLOAT(detail::EvaluateNoQuantization, input.tensor_element_type(),
|
|
exponential, input, output);
|
|
}
|
|
return absl::FailedPreconditionError(
|
|
"stablehlo.tanh: Unsupported tensor type.");
|
|
}
|
|
|
|
}; // namespace shlo_ref
|