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Results 1 - 2 of 2 for FakeQuant (0.11 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
loader = saved_model_loader.SavedModelLoader(self._output_saved_model_path) graphdef = loader.get_meta_graph_def_from_tags(tags).graph_def # The Conv2D op shouldn't be quantized as it has no FakeQuant on input. self.assertTrue(self._contains_op(graphdef, 'Conv2D')) # If the Gather op is quantized, input_model_size / output_model_size > 2. self.assertLess( testing.get_size_ratio(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let results = (outs TFL_FpTensor:$output); } def TFL_FakeQuantOp : TFL_Op<"fake_quant", [ Pure, QuantizableResult]> { let summary = "FakeQuant operator"; let description = [{ Fake-quantize the 'inputs' tensor of type float via float scalars min and max to 'outputs' tensor of same shape as inputs. }]; let arguments = (
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)