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David Cavazos
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dataflow/tensorflow-landsat: remove conflicting flag (GoogleCloudPlatform#7343)
## Description Fixes GoogleCloudPlatform#6436 The `machine_type` flag conflicts with the `worker_machine_type` flag. The custom machine should use an N1 machine so the n1-standard-4 is not necessary. ## Checklist - [ ] I have followed [Sample Guidelines from AUTHORING_GUIDE.MD](https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/AUTHORING_GUIDE.md) - [ ] README is updated to include [all relevant information](https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/AUTHORING_GUIDE.md#readme-file) - [ ] **Tests** pass: `nox -s py-3.6` (see [Test Environment Setup](https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/AUTHORING_GUIDE.md#test-environment-setup)) - [ ] **Lint** pass: `nox -s lint` (see [Test Environment Setup](https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/AUTHORING_GUIDE.md#test-environment-setup)) - [ ] These samples need a new **API enabled** in testing projects to pass (let us know which ones) - [ ] These samples need a new/updated **env vars** in testing projects set to pass (let us know which ones) - [ ] Please **merge** this PR for me once it is approved. - [ ] This sample adds a new sample directory, and I updated the [CODEOWNERS file](https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/.github/CODEOWNERS) with the codeowners for this sample
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dataflow/gpu-examples/tensorflow-landsat/run.yaml

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@@ -47,7 +47,6 @@ steps:
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- --temp_location=$_TEMP_LOCATION
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- --worker_machine_type=custom-1-13312-ext
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- --sdk_container_image=gcr.io/$PROJECT_ID/$_IMAGE
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- --machine_type=n1-standard-4
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- --experiment=worker_accelerator=type:$_GPU_TYPE;count:$_GPU_COUNT;install-nvidia-driver
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- --experiment=use_runner_v2
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- --experiment=no_use_multiple_sdk_containers

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