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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize_int4.mlir

  // CHECK: %[[cst:.*]] = stablehlo.constant
  // CHECK: %[[q1:.*]] = "quantfork.qcast"(%[[cst]])
  // CHECK-SAME: quant.uniform<i8:f32, 0.0040316890267764818:127>
  // CHECK: %[[dq1:.*]] = "quantfork.dcast"(%[[q1]])
  // CHECK-SAME: quant.uniform<i8:f32, 0.0040316890267764818:127>
  %cst = stablehlo.constant dense<[[-0.960978984, -0.390246302], [-0.790828585, -0.601039409], [-1.0280807, -1.02731466]]> : tensor<3x2xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Thu Feb 08 22:40:14 UTC 2024

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github.com/golang/go

src/runtime/syscall_windows_test.go

	}},
	{func(i1, i2, i3, i4, i5, i6, i7, i8 uintptr) uintptr {
		return i1 + i2 + i3 + i4 + i5 + i6 + i7 + i8
	}},
	{func(i1, i2, i3, i4, i5, i6, i7, i8, i9 uintptr) uintptr {
		return i1 + i2 + i3 + i4 + i5 + i6 + i7 + i8 + i9
	}},

	// Non-uintptr parameters.
	{func(i1, i2, i3, i4, i5, i6, i7, i8, i9 uint8) uintptr {
		return uintptr(i1 + i2 + i3 + i4 + i5 + i6 + i7 + i8 + i9)
	}},

Registered: Wed Jun 12 16:32:35 UTC 2024

- Last Modified: Thu Aug 31 16:31:35 UTC 2023

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_fake_quant_to_qdq.mlir

}

// CHECK: %[[q1:.*]] = "quantfork.qcast"(%arg0)
// CHECK-SAME: tensor<3x!quant.uniform<i8:f32, 0.0076314610593459188:-3>>
// CHECK: %[[dq1:.*]] = "quantfork.dcast"(%[[q1]])
// CHECK: %[[q2:.*]] = "quantfork.qcast"(%arg1)
// CHECK-SAME: tensor<4x3x!quant.uniform<i8<-127:127>:f32:1, {0.003937007874015748,0.0039370079913477263:-25,0.003937007874015748:51}>>
// CHECK: %[[dq2:.*]] = "quantfork.dcast"(%[[q2]])

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Mon Oct 24 07:02:54 UTC 2022

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir

  %1 = "quantfork.dcast"(%0) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>
  %q_w = "quantfork.qcast"(%cst) : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8:f32, 0.0125:-24>>
  %dq_w = "quantfork.dcast"(%q_w) : (tensor<2x3x3x2x!quant.uniform<i8:f32, 0.0125:-24>>) -> tensor<2x3x3x2xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Mon Oct 30 06:52:55 UTC 2023

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-multi-data-type-with-subtype.pbtxt

      }
    }
  }
}
versions {
  producer: 216
}

# CHECK-NO-SUBTYPE: func @main(%arg0: tensor<i32>, %arg1: tensor<!tf_type.variant>, %arg2: tensor<i8>, %arg3: tensor<f64>, %arg4: tensor<!tf_type.resource>) -> (tensor<i32>, tensor<!tf_type.variant>, tensor<i8>, tensor<f64>, tensor<!tf_type.resource>)

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Tue Jun 07 18:11:42 UTC 2022

- 2.4K bytes

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_drq.mlir

// CHECK: %[[out:.*]] = "tf.PartitionedCall"([[ARG0:%arg[0-9]+]], %[[q_cst]]) <{config = "", config_proto = "", executor_type = "", f = @composite_matmul_fn}> {_tfl_quant_trait = "fully_quantizable"} : (tensor<1x2x2x3xf32>, tensor<2x1024x!quant.uniform<i8<-127:127>:f32, 3.9370078740157481E-9>>) -> tensor<*xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Wed May 08 19:32:28 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_ptq_per_channel.mlir

// CHECK: %[[q1:.*]] = "quantfork.qcast"(%[[cst_1]]) {volatile}
// CHECK-SAME: tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32:3, {0.075176584439014829,0.072960192762960605}>>
// CHECK: %[[dq1:.*]] = "quantfork.dcast"(%[[q1]])

// CHECK: %[[q2:.*]] = "quantfork.qcast"(%arg0)
// CHECK-SAME: tensor<1x3x4x3x!quant.uniform<i8:f32, 0.58754816990272674:-128>>
// CHECK: %[[dq2:.*]] = "quantfork.dcast"(%[[q2]])

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Wed Feb 01 10:21:29 UTC 2023

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github.com/golang/go

src/cmd/compile/internal/test/float_test.go

		t.Errorf("float64(i64) != di64")
	}
	if float64(i32) != di32 {
		t.Errorf("float64(i32) != di32")
	}
	if float64(i16) != di16 {
		t.Errorf("float64(i16) != di16")
	}
	if float64(i8) != di8 {
		t.Errorf("float64(i8) != di8")
	}
	if float32(u64) != su64 {
		t.Errorf("float32(u64) != su64")
	}
	if float32(u32) != su32 {
		t.Errorf("float32(u32) != su32")
	}
	if float32(u16) != su16 {

Registered: Wed Jun 12 16:32:35 UTC 2024

- Last Modified: Tue Apr 05 17:54:15 UTC 2022

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.cc

// `tfl.quantize` or `tfl.dequantize` ops. ui8, i8 and i16 are supported.
bool IsSupportedByTfliteQuantizeOrDequantizeOps(IntegerType storage_type) {
  if (storage_type.getWidth() == 8 ||
      (storage_type.isSigned() && storage_type.getWidth() == 16)) {
    return true;
  }
  LLVM_DEBUG(llvm::dbgs()
             << "Uniform quantize / dequantize op only supports ui8, i8 or "

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Thu Apr 25 16:01:03 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tfr/tests/decompose.mlir

func.func @quantized_tensor(%arg0: tensor<1x10x!quant.uniform<i8:f32, 0.0038396485615521669:-128>>) -> tensor<1x10x!quant.uniform<i8:f32, 3.906250e-03:-128>> {
  %0 = "tf.Intermediate"(%arg0) : (tensor<1x10x!quant.uniform<i8:f32, 0.0038396485615521669:-128>>) -> tensor<1x10x!quant.uniform<i8:f32, 3.906250e-03:-128>>
  func.return %0 : tensor<1x10x!quant.uniform<i8:f32, 3.906250e-03:-128>>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Mon Oct 30 06:52:55 UTC 2023

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