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tensorflow/c/c_api_test.cc
CompareTensors(out1, expected_out1); } void CompareTensors(TF_Tensor* a, TF_Tensor* b) { float* a_data = static_cast<float*>(TF_TensorData(a)); float* b_data = static_cast<float*>(TF_TensorData(b)); EXPECT_EQ(*a_data, *b_data); } void AddGradients(bool grad_inputs_provided, const char* prefix, TF_Output* inputs, int ninputs, TF_Output* outputs,
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/c_api.cc
auto* out_shape_and_type = handle_data.add_shape_and_type(); ic->ShapeHandleToProto(p.shape, out_shape_and_type->mutable_shape()); out_shape_and_type->set_dtype(p.dtype); *out_shape_and_type->mutable_type() = p.type; } } string str_data; handle_data.SerializeToString(&str_data); TF_Buffer* result = TF_NewBufferFromString(str_data.c_str(), str_data.size()); return result; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
requirements_lock_3_10.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
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tensorflow/c/eager/c_api_experimental.cc
tensorflow::string value = cell->cell.value(); void* data = tensorflow::port::Malloc(value.length()); value.copy(static_cast<char*>(data), value.length(), 0); buf->data = data; buf->length = value.length(); buf->data_deallocator = [](void* data, size_t length) { tensorflow::port::Free(data); }; } TFE_MonitoringStringGauge0* TFE_MonitoringNewStringGauge0(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
RELEASE.md
* `tf.data`: * Graduated experimental APIs: * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s. * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.
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requirements_lock_3_11.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
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tensorflow/c/c_api_experimental.cc
} int TF_OpIsStateful(const char* op_type, TF_Status* status) { const tensorflow::OpRegistrationData* op_reg_data; status->status = tensorflow::OpRegistry::Global()->LookUp(op_type, &op_reg_data); if (!status->status.ok()) { return 0; } return op_reg_data->op_def.is_stateful(); } void TF_InitMain(const char* usage, int* argc, char*** argv) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
.bazelrc
build:windows --host_copt=/d2ReducedOptimizeHugeFunctions # Enable the runfiles symlink tree on Windows. This makes it possible to build # the pip package on Windows without an intermediate data-file archive, as the # build_pip_package script in its current form (as of Aug 2023) uses the # runfiles symlink tree to decide what to put into the Python wheel. startup --windows_enable_symlinks
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tensorflow/c/c_api_function.cc
#include "tensorflow/core/framework/types.h" #include "tensorflow/core/graph/graph.h" #include "tensorflow/core/platform/base64.h" #include "tensorflow/core/platform/strcat.h" #include "tensorflow/core/util/debug_data_dumper.h" using tensorflow::errors::InvalidArgument; namespace tensorflow { namespace { Status ValidateNonRefOutput(const Node* node, int idx) { const DataType& dt = node->output_type(idx);
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requirements_lock_3_12.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
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