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Results 1 - 3 of 3 for UniformQuantizedDot (0.17 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
} : (tensor<2x2x!tf_type.qint8>, tensor<2xf32>, tensor<2xi32>) -> tensor<2x2xf32> func.return %2 : tensor<2x2xf32> } //===----------------------------------------------------------------------===// // tf.UniformQuantizedDot legalization //===----------------------------------------------------------------------===// // ----- // CHECK-LABEL: func @uniform_quantized_dot
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
) ) elif target_opset == quant_opts_pb2.UNIFORM_QUANTIZED: self.assertTrue( self._contains_op( output_graphdef, 'UniformQuantizedDot', node_name='sample/matmul.*', ) ) new_outputs = converted_model.signatures['serving_default']( input_tensor=ops.convert_to_tensor(input_data) )
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/tensorflow/ir/tf_generated_ops.td
TF_DerivedOperandTypeAttr Trhs = TF_DerivedOperandTypeAttr<1>; TF_DerivedResultTypeAttr Tout = TF_DerivedResultTypeAttr<0>; let hasVerifier = 1; } def TF_UniformQuantizedDotOp : TF_Op<"UniformQuantizedDot", [Pure]> { let summary = [{ Perform quantized dot of quantized Tensor `lhs` and quantized Tensor `rhs` to make quantized `output`. }]; let description = [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)