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tensorflow/c/experimental/gradients/nn_grad_test.cc
INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #else INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false),
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tensorflow/c/experimental/gradients/array_grad_test.cc
INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #else INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false),
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tensorflow/c/experimental/gradients/custom_gradient_test.cc
EXPECT_EQ(*result_value, 1.0); outputs[0]->Unref(); TF_DeleteTensor(result_tensor); result_tensor = nullptr; } INSTANTIATE_TEST_SUITE_P( CustomGradientTest, CustomGradientTest, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*executing_eagerly*/ ::testing::Values(true, false))); } // namespace } // namespace internal
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tensorflow/c/eager/unified_api_test.cc
ASSERT_FALSE(shape.unknown_rank()); ASSERT_EQ(2, shape.dim_size(0)); ASSERT_EQ(-1, shape.dim_size(1)); } INSTANTIATE_TEST_SUITE_P( UnifiedCppAPI, UnifiedAPI, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); } // namespace
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ci/official/utilities/code_check_full.bats
bazel cquery --keep_going 'deps(//tensorflow/tools/pip_package:wheel)' | sort -u > $BATS_TEST_TMPDIR/pip_deps # Find all Python py_test targets not tagged "no_pip" or "manual", excluding # any targets in ignored packages. Combine this list of targets into a bazel # query list (e.g. the list becomes "target+target2+target3")
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ci/official/requirements_updater/BUILD.bazel
load("@python//3.10:defs.bzl", compile_pip_requirements_3_10 = "compile_pip_requirements") load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") load("@python//3.12:defs.bzl", compile_pip_requirements_3_12 = "compile_pip_requirements") load("@python//3.9:defs.bzl", compile_pip_requirements_3_9 = "compile_pip_requirements")
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tensorflow/BUILD
":with_tpu_support_define", ":with_tpu_support_flag", ], visibility = ["//visibility:public"], ) # Specifies via a config setting if this is a mobile build or not, makes # it easier to combine settings later. selects.config_setting_group( name = "mobile", match_any = [ ":android", ":chromiumos",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
CONTRIBUTING.md
debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
RELEASE.md
* Argument `jit_compile` in `Model.compile()` now applies to `Model.evaluate()` and `Model.predict()`. Setting `jit_compile=True` in `compile()` compiles the model's training, evaluation, and inference steps to [XLA](https://www.tensorflow.org/xla). Note that `jit_compile=True` may not necessarily work for all models.
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tensorflow/c/eager/c_api.cc
/*device_mgr_owned*/ true, std::move(r), /*cluster_flr=*/nullptr, /*collective_executor_mgr=*/nullptr, /*run_eager_op_as_function=*/opts->run_eager_op_as_function, /*jit_compile_rewrite=*/opts->jit_compile_rewrite); #if !defined(IS_MOBILE_PLATFORM) eager_context->SetDistributedManager( std::make_unique<tensorflow::EagerContextDistributedManager>( eager_context));
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