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tensorflow/c/experimental/gradients/math_grad.cc
absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { /* Given upstream grad U and a matmul op A*B, the gradients are: * * dA = U * B.T * dB = A.T * U * * where A.T means `transpose(A)` */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; // Get transpose attrs
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
switch (dtype.code) { case DLDataTypeCode::kDLBool: if (dtype.bits != 8) { return tensorflow::errors::InvalidArgument( "Only DLPack bools of bitwidth 8 are supported, got: ", dtype.bits); } *tf_dtype = TF_DataType::TF_BOOL; return absl::OkStatus(); case DLDataTypeCode::kDLUInt: switch (dtype.bits) { case 8:
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
ci/official/utilities/cleanup_summary.sh
function resultstore_extract_fallback { # In case the main script fails somehow. cat <<EOF IMPORTANT: For bazel invocations that uploaded to ResultStore (e.g. RBE), you can view more detailed results that are probably easier to read than this log. Try the links below: EOF # Find any "Streaming build results to" line, then print the last word in it, # and don't print duplicates
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
// // This has three benefits: // * allows having newer plugins than the current core TensorFlow: the // additional entries in the plugin's table are just discarded; // * allows having older plugins than the current core TensorFlow (though // we are still warning users): the entries that core TensorFlow expects // but plugins didn't provide will be set to `nullptr` values and core
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0) -
RELEASE.md
different computation approaches and orders. * To verify if oneDNN optimizations are on, look for a message with *"oneDNN custom operations are on"* in the log. If the exact phrase is not there, it means they are off. * Making the `tf.function` type system fully available:
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/experimental/filesystem/BUILD
# Experimental filesystem C APIs for TensorFlow. # Will be moved in proper place once all filesystems are converted to the # modular framework. load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface",
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tensorflow/c/experimental/filesystem/modular_filesystem.h
/// This file builds classes needed to hold a filesystem implementation in the /// modular world. Once all TensorFlow filesystems are converted to use the /// plugin based approach, this file will replace the one in core/platform and /// the names will lose the `Modular` part. Until that point, the `Modular*` /// classes here are experimental and subject to breaking changes. /// For documentation on these methods, consult `core/platform/filesystem.h`.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
"keras.api._v1.keras.__internal__.legacy.rnn_cell") _current_module.nn.__path__ = [_module_dir] + _current_module.nn.__path__ del importlib # Load all plugin libraries from site-packages/tensorflow-plugins if we are # running under pip. # TODO(gunan): Find a better location for this code snippet. from tensorflow.python.framework import load_library as _ll from tensorflow.python.lib.io import file_io as _fi
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
ci/official/requirements_updater/requirements.in
gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0 scipy == 1.11.3
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tensorflow/c/eager/immediate_execution_operation.h
const = 0; virtual Status SetInput(size_t index, ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0)