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Results 21 - 30 of 81 for tconv (0.12 sec)

  1. subprojects/core/src/test/groovy/org/gradle/api/internal/project/DefaultProjectTest.groovy

            String expectedValue = 'somevalue'
    
            when:
            project.convention.plugins.test = new TestConvention()
            project.conv = expectedValue
    
            then:
            project.conv == expectedValue
            project.convention.plugins.test.conv == expectedValue
            child1.conv == expectedValue
        }
    
        def setPropertyAndPropertyMissingWithProjectAndConventionProperty() {
            given:
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Fri Mar 08 13:46:07 UTC 2024
    - 35.1K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir

    // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
    // CHECK: %[[CONV:.*]] = "tfl.conv_2d"(%arg0, %[[DEQUANTIZE]], %[[CONSTANT]])
    // CHECK: return %[[CONV]]
    }
    
    // CHECK-LABEL: perChannelFakeQuantWithConv2D
    func.func @perChannelFakeQuantWithConv2D(tensor<256x32x32x3xf32>) -> (tensor<256x8x7x16xf32>) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 22K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op.mlir

        %1 = "tf.PartitionedCall"(%arg0, %cst, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_conv2d_with_bias_and_relu6_fn_1} : (tensor<1x2x2x3xf32>, tensor<2x2x3x2xf32>, tensor<2xf32>) -> tensor<*xf32> loc(callsite("test@conv"("Conv2D_1") at "QuantizationUnit(\12\08Conv2D_1\1a\04conv)"))
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 22:55:22 UTC 2024
    - 37.9K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir

    // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
    // CHECK: %[[CONV:.*]] = "tfl.conv_2d"(%arg0, %[[DEQUANTIZE]], %[[CONSTANT]])
    // CHECK: return %[[CONV]]
    }
    
    // CHECK-LABEL: perChannelFakeQuantWithConv2D
    func.func @perChannelFakeQuantWithConv2D(tensor<256x32x32x3xf32>) -> (tensor<256x8x7x16xf32>) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.4K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/transforms/dilated_conv.h

      // dilation rate.
      // TF python library will rewrite dilated conv to
      // "SpaceToBatch->Conv->BatchToSpace" pattern, and the Conv in the middle
      // always has 'VALID' padding. The padding tensor in `SpaceToBatch` has two
      // parts of contributions, one is to reduce padding of CONV from 'SAME' to
      // 'VALID', and another is to make input shape multiples of dilation rate. The
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 20K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_weight_param.mlir

        return %0 : tensor<1x3x4x2xf32>
      }
      // CHECK: func private @composite_conv_fn
      // CHECK: %[[CONV:.+]] = stablehlo.convolution
      // CHECK: return %[[CONV]]
    }
    
    // -----
    
    // Test that q/dq pair with per-channel quantization parameter is inserted
    // between constant and XlaCallModule op with `weight_only_ptq` method of
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 22K bytes
    - Viewed (0)
  7. src/cmd/compile/internal/walk/expr.go

    	if types.IsComplex[et] && n.Op() == ir.ODIV {
    		t := n.Type()
    		call := mkcall("complex128div", types.Types[types.TCOMPLEX128], init, typecheck.Conv(n.X, types.Types[types.TCOMPLEX128]), typecheck.Conv(n.Y, types.Types[types.TCOMPLEX128]))
    		return typecheck.Conv(call, t)
    	}
    
    	// Nothing to do for float divisions.
    	if types.IsFloat[et] {
    		return n
    	}
    
    	// rewrite 64-bit div and mod on 32-bit architectures.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Mar 04 17:34:01 UTC 2024
    - 27.6K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir

    // CHECK: %[[CONV:.*]] = stablehlo.convolution(%[[QUANT_ARG]], %[[FILTER]]) {{.*}} : (tensor<1x3x3x4x!quant.uniform<i8:f32, {{.*}}>>, tensor<3x3x4x4x!quant.uniform<i8:f32:3, {{.*}}>>) -> tensor<1x3x3x4x!quant.uniform<i8:f32, {{.*}}>>
    // CHECK: %[[DEQUANT:.*]] = stablehlo.uniform_dequantize %[[CONV]] : (tensor<1x3x3x4x!quant.uniform<i8:f32, {{.*}}>>) -> tensor<1x3x3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
    - Viewed (0)
  9. src/cmd/compile/internal/typecheck/expr.go

    		ep = append(ep, p[ei].field.Sym.Name)
    	}
    	ep = append(ep, sym.Name)
    	base.Errorf("cannot use promoted field %v in struct literal of type %v", strings.Join(ep, "."), typ)
    	return nil
    }
    
    // tcConv typechecks an OCONV node.
    func tcConv(n *ir.ConvExpr) ir.Node {
    	types.CheckSize(n.Type()) // ensure width is calculated for backend
    	n.X = Expr(n.X)
    	n.X = convlit1(n.X, n.Type(), true, nil)
    	t := n.X.Type()
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu Apr 04 14:29:45 UTC 2024
    - 23.1K bytes
    - Viewed (0)
  10. src/cmd/vendor/golang.org/x/tools/go/analysis/passes/cgocall/cgocall.go

    				reportf(arg.Pos(), "possibly passing Go type with embedded pointer to C")
    				break
    			}
    
    			// Check for passing the address of a bad type.
    			if conv, ok := arg.(*ast.CallExpr); ok && len(conv.Args) == 1 &&
    				isUnsafePointer(info, conv.Fun) {
    				arg = conv.Args[0]
    			}
    			if u, ok := arg.(*ast.UnaryExpr); ok && u.Op == token.AND {
    				if !typeOKForCgoCall(cgoBaseType(info, u.X), make(map[types.Type]bool)) {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu Oct 19 23:33:33 UTC 2023
    - 11.2K bytes
    - Viewed (0)
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