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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model. ``` ### 3. Failure after conversion If the conversion is successful, but the generated model is wrong, then state what is wrong: - Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 4. (optional) RNN conversion support
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tensorflow/c/c_api_experimental_test.cc
TF_DeleteFunction(funcs[0]); } TEST_F(CApiExperimentalFunctionTest, EmptyGraphRemoveNonExistentFunction) { TF_GraphRemoveFunction(func_graph_, "wrong_name", s_); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_)); EXPECT_EQ(string("Tried to remove non-existent function 'wrong_name'."), string(TF_Message(s_))); } TEST_F(CApiExperimentalFunctionTest, GraphRemoveNonExistentFunction) { TF_Function* funcs[1];
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tensorflow/c/experimental/grappler/grappler.h
// // Typical use case, is to infer tensor properties from a graph, before doing // optimization pass. Nodes modified during optimization pass have to be // invalidated, to prevent further incorrect optimizations based on wrong shape // and data type properties. typedef struct TF_GraphProperties TF_GraphProperties; // Create GraphProperties. The item must outlive the properties. TF_CAPI_EXPORT extern TF_GraphProperties* TF_NewGraphProperties(
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tensorflow/c/eager/immediate_execution_context.h
class CustomDeviceOpHandler; class Device; // LINT.IfChange // Note: Keep in sync with exported copy of enum in eager/c_api.h. enum ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. DEVICE_PLACEMENT_WARN = 1, // Silently copy the tensor, which has a performance cost since the operation
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tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(2, num_dims); EXPECT_EQ(2, returned_dims[0]); EXPECT_EQ(3, returned_dims[1]); // Try to fetch a shape with the wrong num_dims TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, 5, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); // Try to set an invalid shape (cannot change 2x3 to a 2x5). dims[1] = 5;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api.h
// some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. TFE_DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. TFE_DEVICE_PLACEMENT_WARN = 1, // Silently copy the tensor, which has a performance cost since the operation
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tensorflow/c/eager/parallel_device/parallel_device_test.cc
context.get(), components, device_name, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_INVALID_ARGUMENT) << TF_Message(status.get()); } { // Try to extract the wrong number of components from a parallel tensor std::array<TFE_TensorHandle*, 1> correct_components{value_one.get()}; TensorHandlePtr combined_value = CreatePerDeviceValues(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
RELEASE.md
* Improved DirectSession::Run() overhead and error checking. Feeding a value of the wrong type will now synchronously raise an INVALID_ARGUMENT error instead of asynchronously raising an INTERNAL error. Code that depends on the (undefined) behavior when feeding a tensor of the wrong type may need to be updated. * Added unreduced NONE, and reduced MEAN options for losses. Removed
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.bazelrc
build:windows --host_linkopt=/DEBUG build:windows --linkopt=/OPT:REF build:windows --host_linkopt=/OPT:REF build:windows --linkopt=/OPT:ICF build:windows --host_linkopt=/OPT:ICF # Verbose failure logs when something goes wrong build:windows --verbose_failures # Work around potential issues with large command lines on windows. # See: https://github.com/bazelbuild/bazel/issues/5163 build:windows --features=compiler_param_file
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tensorflow/c/c_api.h
// case though). // // If the evaluation is successful, this function returns true and `output`s // value is returned in `result`. Otherwise returns false. An error status is // returned if something is wrong with the graph or input. Note that this may // return false even if no error status is set. TF_CAPI_EXPORT extern unsigned char TF_TryEvaluateConstant(TF_Graph* graph,
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