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tensorflow/c/experimental/gradients/math_grad.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_MATH_GRAD_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_MATH_GRAD_H_ #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { GradientFunction* AddRegisterer(const ForwardOperation& op);
C - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Dec 03 22:28:48 GMT 2020 - 1.5K bytes - Viewed (0) -
tensorflow/c/experimental/ops/BUILD
"//tensorflow/c/eager:tracing_utils", "//tensorflow/core:framework", "//tensorflow/core/platform:errors", ], ) cc_library( name = "math_ops", srcs = [ "math_ops.cc", ], hdrs = [ "math_ops.h", ], visibility = [ "//tensorflow:internal", ], deps = [ ":array_ops", "//tensorflow/c/eager:abstract_context",
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tensorflow/c/experimental/ops/README.md
consistent with the original source files registering each operator. For example since `REGISTER_OP("MatMul")` appears in ***core/math_ops.cc***, the "MatMul" operator in the script should be in the "math" category, and it will be generated in the output file `c/experimental/ops/math_ops.cc`. Running this script should be a no-op, generating identical code other than
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tensorflow/c/experimental/gradients/BUILD
], deps = [ "//tensorflow/c/eager:abstract_context", "//tensorflow/c/eager:gradients_internal", ], ) cc_library( name = "math_grad", srcs = ["math_grad.cc"], hdrs = [ "math_grad.h", ], visibility = [ "//tensorflow:internal", ], deps = [ "//tensorflow/c/eager:abstract_tensor_handle",
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tensorflow/c/experimental/gradients/nn_grad.cc
#include "tensorflow/c/eager/immediate_execution_context.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/experimental/ops/nn_ops.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" using std::vector; using tensorflow::ops::BiasAddGrad;
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tensorflow/c/eager/gradient_checker_test.cc
#include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/c_api_unified_experimental.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h" namespace tensorflow {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/eager/gradients.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal {
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tensorflow/c/eager/gradients_test.cc
#include "tensorflow/c/experimental/gradients/array_grad.h" #include "tensorflow/c/experimental/gradients/math_grad.h" #include "tensorflow/c/experimental/gradients/not_differentiable.h" #include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/c/tf_tensor.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
configure
#!/usr/bin/env bash set -e set -o pipefail if [ -z "$PYTHON_BIN_PATH" ]; then PYTHON_BIN_PATH=$(which python3 || which python || true) fi # Set all env variables CONFIGURE_DIR=$(dirname "$0") "$PYTHON_BIN_PATH" "${CONFIGURE_DIR}/configure.py" "$@"
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ci/official/wheel_test/README.md
``` bash update_requirements.sh <path_to_tensorflow_wheel> <python_version> e.g.: bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11 ``` #### Requirements Updater Script This script automates the process of updating TensorFlow requirements for a specific Python version. ##### Parameters `path_to_tensorflow_wheel`: The local path to the TensorFlow wheel file.
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