53 lines
1.9 KiB
C++
53 lines
1.9 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// Usage: show_text_literal <path-to-serialized-literal-text>
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#include <stdio.h>
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#include <algorithm>
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#include <memory>
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#include <string>
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#include "tensorflow/compiler/xla/literal.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/text_literal_reader.h"
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#include "tensorflow/compiler/xla/types.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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#include "tensorflow/core/platform/init_main.h"
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#include "tensorflow/core/platform/logging.h"
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#include "tensorflow/core/platform/protobuf.h"
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int main(int argc, char **argv) {
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tensorflow::port::InitMain(argv[0], &argc, &argv);
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if (argc < 2) {
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LOG(QFATAL) << "Usage: " << argv[0] << " <path-to-serialized-literal-text>";
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}
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xla::Literal literal =
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xla::TextLiteralReader::ReadPath(argv[1]).ConsumeValueOrDie();
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LOG(INFO) << "literal: " << literal;
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fprintf(stderr, "%s\n", literal.ToString().c_str());
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if (literal.shape().element_type() == xla::F32) {
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float min = *std::min_element(literal.data<float>().begin(),
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literal.data<float>().end());
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float max = *std::max_element(literal.data<float>().begin(),
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literal.data<float>().end());
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fprintf(stderr, "min: %a=%f\n", min, min);
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fprintf(stderr, "max: %a=%f\n", max, max);
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}
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}
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