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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
### 5. (optional) Any other info / logs
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tensorflow/c/eager/c_api_experimental.h
// setting the same key will lead to errors. // // Note that the key-values are only expected to be used for cluster // configuration data, and should not be used for storing a large amount of data // or being accessed very frequently. TF_CAPI_EXPORT extern void TFE_InsertConfigKeyValue(TFE_Context* ctx, const char* key,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
RELEASE.md
* Fixes an overflow producing a crash in `tf.image.resize` when size is large ([CVE-2021-41199](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-41199)) * Fixes an overflow producing a crash in `tf.tile` when tiling tensor is large ([CVE-2021-41198](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-41198))
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tensorflow/c/c_api_test.cc
TF_TString* data = static_cast<TF_TString*>(TF_TensorData(t)); for (int i = 0; i < batch_size; ++i) { TF_TString_Init(&data[i]); // The following input string length is large enough to make sure that // copy to tstring in large mode. std::string source = "This is the " + std::to_string(i + 1) + "th. data element\n"; TF_TString_Copy(&data[i], source.c_str(), source.length()); }
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tensorflow/c/c_api.cc
// make sure there is no information loss. if (proto_len > std::numeric_limits<int>::max()) { status->status = InvalidArgument( "proto_len (", proto_len, " bytes) is too large to be parsed by the protocol buffer library"); return; } TensorShapeProto shape; if (shape.ParseFromArray(proto, static_cast<int>(proto_len))) { desc->node_builder.Attr(attr_name, shape);
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
of them that contain failures into one file. The TensorFlow DevInfra team uses this to generate a simple overview of an entire pip and nonpip test invocation, since the normal logs that Bazel creates are too large for the internal invocation viewer. """ import collections import os import re import subprocess import sys from junitparser import JUnitXml result = JUnitXml() try:
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.github/ISSUE_TEMPLATE/tflite-op-request.md
**Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files
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tensorflow/c/c_api.h
TF_Status* status); // Returns the shape of the Tensor referenced by `output` in `graph` // into `dims`. `dims` must be an array large enough to hold `num_dims` // entries (e.g., the return value of TF_GraphGetTensorNumDims). // // If the number of dimensions in the shape is unknown or the shape is
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tensorflow/c/eager/c_api_distributed_test.cc
TFE_DeleteContextOptions(opts); TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); // Use large matrices so that RPCs don't return before we get a chance // to call TFE_DeleteContext. TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle100x100(ctx); TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle100x100(ctx);
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