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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
false fi done } @test "No duplicate files on Windows" { cat <<EOF Please rename files so there are no repeats. For example, README.md and Readme.md would be the same file on Windows. In this test, you would get a warning for "readme.md" because it makes everything lowercase. There are repeats of these filename(s) with different casing: EOF
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ci/official/wheel_test/README.md
tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing To run tests locally, follow these steps: 1. Navigate to the relevant directory: ``` cd ci/official/wheel_test
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tensorflow/c/c_api_test.cc
// Fetch the shape and validate it is 2 by -1. num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(2, num_dims); // Resize the dimension vector appropriately. int64_t returned_dims[2]; TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
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README.md
Mihai Maruseac <******@****.***> 1696518010 -0700
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ci/README.md
Michael Hudgins <******@****.***> 1686085016 -0700
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tensorflow/c/README.md
Asim Shankar <******@****.***> 1540258076 -0700
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tensorflow/c/eager/parallel_device/parallel_device_test.cc
TF_SetAttrString(reduce_desc, "final_op", final_op.c_str(), final_op.length()); TF_SetAttrIntList(reduce_desc, "subdiv_offsets", nullptr, 0); TF_AddInput(reduce_desc, x); TF_Operation* reduce_op = TF_FinishOperation(reduce_desc, status); if (TF_GetCode(status) != TF_OK) return; TF_Operation* operations[]{placeholder_op, reduce_op}; TF_Output y{reduce_op, 0}; const char* output_name = "y";
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tensorflow/c/eager/gradient_checker.cc
TF_DeleteTensor(model_out_tensor); // If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release(); return absl::OkStatus(); } // Else, reduce sum the output to get a scalar // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1]. AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out);
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tensorflow/c/eager/parallel_device/parallel_device.cc
if (!maybe_parallel_results.has_value()) return result; std::vector<std::unique_ptr<ParallelTensor>> parallel_results( std::move(maybe_parallel_results.value())); std::vector<MaybeParallelTensorOwned> result_content; result_content.reserve(parallel_results.size()); for (std::unique_ptr<ParallelTensor>& parallel_result : parallel_results) { result_content.push_back(
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.github/workflows/sigbuild-docker-branch.yml
on: workflow_dispatch: push: paths: - '.github/workflows/sigbuild-docker-branch.yml' - 'tensorflow/tools/tf_sig_build_dockerfiles/**' - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md' branches: - "r[1-9].[0-9]+" permissions: contents: read jobs: docker: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: ubuntu-latest
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