[ET-VK][Ops] quantize_per_tensor.tensor variant

[ahmtox]

Stack from ghstack (oldest at bottom):

• [ET-VK][testing] Q/DQ/CQP op comprehensive delegate dynamic quantization testing #12210
• [ET-VK][Ops] dequantize_per_tensor.tensor variant #12209
• -> [ET-VK][Ops] quantize_per_tensor.tensor variant #12208
• [ET-VK][Ops] dequantize_per_channel shaders and impl #12207
• [ET-VK][Ops] dequantize_per_channel reference impl and testing #12206
• [ET-VK][Ops] quantize_per_channel shaders and impl #12205
• [ET-VK][Ops] quantize_per_channel reference impl and testing #12204
• [ET] correcting cpu ref quantize_per_channel logic to align with ATen #12203
• [ET-VK] lowering ExecuTorch tensor dtype for Vulkan tensor dtype to enable 64bit #12202
• [ET-VK][ez] enabling fp64->fp32 converison for vulkan compatibility #12201
• [ET-VK][ez][Ops] registering Q/DQ/CQP ops and specifying optimal storage #12200
• [ET-VK][Ops] aligning Q/DQ/CQP op inputs with ATen impl #12199

Context

We need a tensor variant for dequantize/quantize operators since that is the expected output of choose_qparams.

Changes

This extends the logic that currently exists to support a tensor variant for scales and zeros.

Differential Revision: D77746136

[pytorch-bot]

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❌ 1 New Failure, 2 Cancelled Jobs

As of commit bc81c88 with merge base a7091bf ():

NEW FAILURE - The following job has failed:

• pull / unittest / linux / linux-job (gh)
  backends/xnnpack/test/ops/test_gelu.py::TestGelu::test_fp16_gelu

CANCELLED JOBS - The following jobs were cancelled. Please retry:

• pull / test-models-linux (mobilebert, portable, linux.2xlarge) / linux-job (gh)
  ##[error]The operation was canceled.
• pull / test-models-linux (mobilebert, xnnpack-quantization-delegation, linux.2xlarge) / linux-job (gh)
  ##[error]The operation was canceled.

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[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D77746136

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D77746136