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tensorflow/c/eager/gradient_checker.h
#include "tensorflow/c/eager/unified_api_testutil.h" namespace tensorflow { namespace gradients { /* Returns numerical grad inside `dtheta_approx` given `forward` model and * parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). *
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tensorflow/c/experimental/gradients/grad_test_helper.h
double abs_error = 1e-2); void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error = 1e-2); Model BuildGradModel(Model forward, GradientRegistry registry); } // namespace internal } // namespace gradients } // namespace tensorflow
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CODE_OF_CONDUCT.md
* Using welcoming and inclusive language. * Being respectful of differing viewpoints and experiences. * Gracefully accepting constructive criticism. * Focusing on what is best for the community. * Showing empathy towards other community members. Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances.
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tensorflow/c/experimental/gradients/math_grad_test.cc
ASSERT_EQ(errors::OK, status_.code()) << status_.message(); immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_;
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tensorflow/c/experimental/gradients/array_grad_test.cc
ASSERT_EQ(errors::OK, status_.code()) << status_.message(); immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_; Status status_;
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.bazelrc
# This is the same as the official TensorFlow builds. # See https://developer.nvidia.com/cuda-gpus#compute # `compute_XY` enables PTX embedding in addition to SASS. PTX # is forward compatible beyond the current compute capability major # release while SASS is only forward compatible inside the current # major release. Example: sm_80 kernels can run on sm_89 GPUs but # not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
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CONTRIBUTING.md
your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests. - We can't move forward if these tests fail. - In such situations, we may request you to make further changes to your PR for the tests to pass. - Once the tests pass, we now bring all the code into the internal code base,
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tensorflow/c/experimental/gradients/math_grad.cc
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tensorflow/c/eager/gradients.h
// } // ~AddGradientFunction() override {} // }; // // GradientFunction* AddRegisterer(const ForwardOperation& op) { // // More complex gradient functions can use inputs/attrs etc. from the // // forward `op`. // return new AddGradientFunction; // } // // Status RegisterGradients(GradientRegistry* registry) { // return registry->Register("Add", AddRegisterer); // } class GradientFunction { public:
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tensorflow/c/eager/gradient_checker_test.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr ctx_; public:
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