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Results 41 - 47 of 47 for 1x3x8x8xf32 (0.32 sec)
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tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%result = "tf_device.launch"() ({ %3 = "tf.Transpose"(%2, %1) : (tensor<1x8x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x8xf32> tf_device.return %3: tensor<1x4x4x8xf32> }) {device = "device"} : () -> tensor<1x4x4x8xf32> func.return %result : tensor<1x4x4x8xf32> // CHECK-DAG: %[[CONST1:.*]] = "tf.Const"() <{value = dense<[0, 3, 1, 2]> : tensor<4xi32>}>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
func.return %rst : tensor<256x30x30x16xf32> // CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<48xf32> // CHECK-DAG: %[[CONSTANT0:.*]] = arith.constant dense<0.000000e+00> : tensor<1x3x3x48xf32> // CHECK: %[[QUANTIZE:.*]] = "tfl.quantize"(%[[CONSTANT0]]) <{qtype = tensor<1x3x3x48x!quant.uniform<u8:f32, 1.000000e+00>>}> // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
rhs_quantization_min_val = -128 : i64, rhs_quantization_max_val = 127 : i64 } : (tensor<1x2x2x3xf32>, tensor<2x3x3x2x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<1x3x3x2xf32> func.return %0 : tensor<1x3x3x2xf32> } //===----------------------------------------------------------------------===// // tf.UniformQuantize and tf.UniformDequantize legalization
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/lite/tests/prepare-tf-fake-quant-4bit.mlir
func.return %rst : tensor<256x30x30x16xf32> // CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<48xf32> // CHECK-DAG: %[[CONSTANT0:.*]] = arith.constant dense<0.000000e+00> : tensor<1x3x3x48xf32> // CHECK: %[[QUANTIZE:.*]] = "tfl.quantize"(%[[CONSTANT0]]) <{qtype = tensor<1x3x3x48x!quant.uniform<u4:f32, 1.000000e+00>>}> // CHECK: %[[DEQUANTIZE:.*]] = "tfl.dequantize"(%[[QUANTIZE]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
func.func @DontFuseAddWithConvActivationFunc(%arg0: tensor<1x3x1x1xf32>) -> tensor<1x2x1x3xf32> { %cst = arith.constant dense<1.5> : tensor<1xf32> %cst_1 = arith.constant dense<0.0> : tensor<3xf32> %cst_2 = arith.constant dense<1.1> : tensor<3x2x1x1xf32> %0 = "tfl.add"(%arg0, %cst) {fused_activation_function = "RELU6"} : (tensor<1x3x1x1xf32>, tensor<1xf32>) -> tensor<1x3x1x1xf32>
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/tensorflow/tests/tf-ops.mlir
// CHECK-LABEL: func @testValidFakeQuantWithMinMaxArgs func.func @testValidFakeQuantWithMinMaxArgs(tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32> { ^bb0(%arg0: tensor<8x8x8x8xf32>): %0 = "tf.FakeQuantWithMinMaxArgs"(%arg0) {min = -1.0 : f32, max = 1.0 : f32, num_bits = 3} : (tensor<8x8x8x8xf32>) -> tensor<8x8x8x8xf32> func.return %0 : tensor<8x8x8x8xf32> } // ----- // Test invalid tf.FakeQuantWithMinMaxArgs
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
} // ----- func.func @transpose_uniform_qtype(%arg0 : tensor<1x3x4x3xf32>) -> tensor<3x4x3x1x!quant.uniform<i8:f32, 0.0078356266021728515:-1>> { %cst = arith.constant dense<[1, 2, 3, 0]> : tensor<4xi32> %0 = "tfl.quantize"(%arg0) {qtype = tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0078356266021728515:-1>>} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0078356266021728515:-1>> // CHECK: "tfl.transpose"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)