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tensorflow/c/eager/gradients.h
// once unless the tape is persistent) and produces the gradient of the target // tensors with respect to the source tensors. The output gradients are used // if not empty and not null. The result is populated with one tensor per // target element. Status ComputeGradient( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> targets, absl::Span<AbstractTensorHandle* const> sources,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
tensorflow/BUILD
# copybara:uncomment_begin(google-only) # "-Wl,--undefined-version", # copybara:uncomment_end(google-only) ], }), linkstatic = 1, per_os_targets = True, roots = [ "//tensorflow/c/experimental/filesystem:filesystem_interface", "//tensorflow/c/experimental/stream_executor:stream_executor",
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RELEASE.md
* <SIMILAR TO ABOVE SECTION, BUT FOR OTHER IMPORTANT CHANGES / BUG FIXES> * <IF A CHANGE CLOSES A GITHUB ISSUE, IT SHOULD BE DOCUMENTED HERE> * <NOTES SHOULD BE GROUPED PER AREA> * `tf.lite` * Quantization for `FullyConnected` layer is switched from per-tensor to per-channel scales for dynamic range quantization use case (`float32` inputs / outputs and `int8` weights). The change enables new quantization
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tensorflow/c/experimental/filesystem/filesystem_interface.h
} TF_Filesystem_Option_Type; typedef struct TF_Filesystem_Option { char* name; // null terminated, owned char* description; // null terminated, owned int per_file; // bool actually, but bool is not a C type TF_Filesystem_Option_Value* value; // owned } TF_Filesystem_Option; /// SECTION 2. Function tables for functionality provided by plugins
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
.github/workflows/stale-issues.yml
exempt-pr-labels: "override-stale" #Limit the No. of API calls in one run default value is 30. operations-per-run: 1000 days-before-issue-stale: 7 days-before-issue-close: 7 stale-issue-label: "stale" # reason for closed the issue default value is not_planned
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Nov 23 20:04:38 GMT 2023 - 4.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
licenses = ["notice"], ) # Filesystem implementation for GCS environments tf_cc_shared_object( name = "gcs_filesystem", framework_so = [], linkstatic = False, per_os_targets = 1, visibility = ["//visibility:public"], deps = [":gcs_filesystem_impl"], ) # The real implementation of the filesystem. cc_library( name = "gcs_filesystem_impl",
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ci/devinfra/docker_windows/Dockerfile
sdkmanager 'patcher;v4'; \ sdkmanager 'ndk;25.1.8937393'; \ sdkmanager 'build-tools;27.0.3'; # Install Scoop and packages RUN iex \"& {$(irm get.scoop.sh)} -RunAsAdmin\"; \ scoop install perl; \ scoop install bazel; \ scoop install cuda; \ scoop install azure-functions-core-tools; \ scoop install azure-cli; # Setting environment variables
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.bazelrc
# Users can still include debug info for a specific kernel, e.g. with: # --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g # Since this .bazelrc file is synced between the tensorflow/tensorflow repo and # the openxla/xla repo, also include debug info for files under xla/. build:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0 build:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
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tensorflow/c/eager/tape.h
// once) and produces the gradient of the target tensors with respect to the // source tensors. The output gradients are used if not empty and not // null. The result is populated with one tensor per target element. // When running backward functions, builds zeros-like tensors for // incoming grads which are nullptrs, unless `build_default_zeros_grads` // is set to false. Status ComputeGradient(
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_Status* status) const { absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> result; // Compute per-device per-output tensors std::vector<std::vector<TensorHandlePtr>> per_device_output_tensors; per_device_output_tensors.reserve(underlying_devices_.size()); int first_op_output_count = 0; StatusPtr first_bad_status(nullptr);
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