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tensorflow/c/eager/c_api_test.cc
TFE_DeleteOp(add_op); TF_Tensor* t = TFE_TensorHandleResolve(retval, status); if (async) { if (forward_input) { // Since the input was forwarded, we released the input handle right away // and hence expect the input to be forwarded to the return tensor. EXPECT_EQ(orig_ptr, TF_TensorData(t)); } else { // In async mode we expect forwarding to work without releasing the input
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
return schemes; } // `INSTANTIATE_TEST_SUITE_P` is called once for every `TEST_P`. However, we // only want to analyze the user provided schemes and those that are registered // only once. Hence, this function keeping another static pointer to a vector // which contains only the schemes under test. // // Without this additional step, when there are schemes available but the user
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:25:58 GMT 2022 - 71K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TFE_TensorHandle* h, TF_Status* status); // This function will block till the operation that produces `h` has // completed. The memory returned might alias the internal memory used by // TensorFlow. Hence, callers should not mutate this memory (for example by // modifying the memory region pointed to by TF_TensorData() on the returned // TF_Tensor). TF_CAPI_EXPORT extern TF_Tensor* TFE_TensorHandleResolve(TFE_TensorHandle* h,
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CONTRIBUTING.md
and [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python). TensorFlow has passed version 1.0 and hence cannot make non-backward-compatible API changes without a major release. Reviewers of your pull request will comment on any API compatibility issues
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a # simple way to parameterize this from bazel, hence this helper to # "normalize" the srcjar layout. # # Arguments: # src_jar - path to the original srcjar # dest_jar - path to the destination # Returns: # None function cp_normalized_srcjar() {
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tensorflow/c/eager/gradients.h
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined // allow us to trace the data dependencies between operations and hence compute // gradients. // // `ZerosLike` is not expected to be called and returns a nullptr. The creation // of default zeros grads is handled by the `DefaultGradientFunction` registered // for each op.
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RELEASE.md
tf.math.invert_permutation. * Add `tf.math.sobol_sample` op. * Add `tf.math.xlog1py`. * Add `tf.math.special.{dawsn,expi,fresnel_cos,fresnel_sin,spence}`. * Add a Modified Discrete Cosine Transform (MDCT) and its inverse to `tf.signal`. * TPU Enhancements: * Refactor `TpuClusterResolver` to move shared logic to a separate pip package.
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// `TF_Filesystem` and the `new_*` methods of `TF_FilesystemOps` to initialize /// the 3 types of files. In all other cases, there is no need to modify the /// address of the opaque data pointer, hence the wrapper pointer is marked /// `const`. /// /// For consistency, the arguments on all these functions follow the same /// pattern: first we have the opaque pointer argument ("this" above), then the
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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
srcs = ["posix_filesystem_helper.cc"], hdrs = ["posix_filesystem_helper.h"], deps = [":copy_file"], ) # On Linux, we can copy files faster using `sendfile`. But not elsewhere. # Hence, this private library to select which implementation to use. cc_library( name = "copy_file", srcs = select({ "//tensorflow:linux_x86_64": ["copy_file_linux.cc"],
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ci/official/utilities/repack_libtensorflow.sh
# bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a # simple way to parameterize this from bazel, hence this helper to # "normalize" the srcjar layout. # # Arguments: # src_jar - path to the original srcjar # dest_jar - path to the destination # Returns: # None function cp_normalized_srcjar() {
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