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Results 1 - 3 of 3 for quant (0.38 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
func.func @DontReorderReshapex2Add(%arg0: tensor<1x2x3x4x!quant.uniform<i8:f32, 3.0>>, %arg1: tensor<1x2x3x4x!quant.uniform<i8:f32, 5.0>>) -> tensor<6x4x!quant.uniform<i8:f32, 7.0>> { %shape = arith.constant dense<[6, 4]> : tensor<2xi32> %0 = "tfl.reshape"(%arg0, %shape) : (tensor<1x2x3x4x!quant.uniform<i8:f32, 3.0>>, tensor<2xi32>) -> tensor<6x4x!quant.uniform<i8:f32, 3.0>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
} // CHECK-LABEL: func @const_quant // CHECK-NOT: "tf.Const" func.func @const_quant() -> tensor<512x1x!quant.uniform<i8:f32, 0.013133913278579712>> { %0 = mhlo.constant() {value = dense<0> : tensor<512x1xi8>} : () -> tensor<512x1x!quant.uniform<i8:f32, 0.013133913278579712>> func.return %0 : tensor<512x1x!quant.uniform<i8:f32, 0.013133913278579712>> } // CHECK-LABEL: func @convert_dot_quant_type(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
SrcOpT op, typename SrcOpT::Adaptor adaptor, ConversionPatternRewriter &rewriter) const override { DstOpT mhlo_op; Location loc = op.getLoc(); // To handle quant type conversions, use the converted operands' element // types and original source op's shapes and encoding to get converted op's // result types. This is only done for the While op for now.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (1)