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Results 11 - 20 of 66 for conv4 (0.11 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/modify_io_nodes.mlir 

    // CHECK-NEXT: %[[cst2:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<32x!quant.uniform<i32:f32, 1.7052092479439231E-4>>, value = dense<0> : tensor<32xi32>}> : () -> tensor<32x!quant.uniform<i32:f32, 1.7052092479439231E-4>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 19.9K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir 

    // CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[ARG1]], %[[ARG2]])
// CHECK-SAME: (tensor<1x3x4x3xf32>, tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>) -> tensor<1x3x4x2xf32>
// CHECK: return %[[CONV]]

// -----

// Test that per-channel weight-only quantized dot_general op is produced when
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 9.4K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    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)
  5. github.com/tensorflow/tensorflow

    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)
  6. github.com/tensorflow/tensorflow

    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)
  7. github.com/tensorflow/tensorflow

    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)
  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir 

        func.return %7 : tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>>

// CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %arg1, %arg2)
// CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 0.0078431372549019607:128>>
// CHECK: %[[cst:.*]] = "tfl.pseudo_qconst"()
// CHECK: %[[add:.*]] = tfl.add(%[[conv]], %[[cst]])
// CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 1.000000e+00>>
// CHECK: return %[[add]]
}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 8.8K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir 

    // CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[ARG1]], %[[ARG2]])
// CHECK-SAME: (tensor<1x3x4x3xf32>, tensor<2x3x3x2x!quant.uniform<i8:f32, 6.000000e-03:-128>>) -> tensor<1x3x4x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 4.8K bytes
    - Viewed (0)
  10. github.com/golang/go

    src/cmd/compile/internal/walk/assign.go 

    	// if uint(newLen) <= uint(oldCap)
	nif := ir.NewIfStmt(base.Pos, nil, nil, nil)
	nuint := typecheck.Conv(newLen, types.Types[types.TUINT])
	scapuint := typecheck.Conv(oldCap, types.Types[types.TUINT])
	nif.Cond = ir.NewBinaryExpr(base.Pos, ir.OLE, nuint, scapuint)
	nif.Likely = true

	// then { s = s[:newLen] }
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed May 08 17:09:06 UTC 2024
    - 20.3K bytes
    - Viewed (0)
  11. github.com/tensorflow/tensorflow

    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)
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